Compare commits

..

5 Commits

Author SHA1 Message Date
Ralph Khreish
5f5e0c73ec fix: remove claude code clear tm commands 2025-08-11 18:57:20 +02:00
Ladi
782728ff95 feat: add --compact flag for minimal task list output (#1054)
* feat: add --compact flag for minimal task list output

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2025-08-11 18:35:23 +02:00
Fábio Vedovelli
30ca144231 feat: Add task id to task details UI (#1100)
* Display current task ID on task details page

* Changeset

* Implement CodeRabbit review suggestion.

* chore: fix CI errors

---------

Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
2025-08-11 14:42:31 +02:00
Ralph Khreish
0220d0e994 chore: pimp my readme (#1122) 2025-08-11 14:29:49 +02:00
Ralph Khreish
41a8c2406a chore: add docs to monorepo (#1111) 2025-08-09 13:31:45 +02:00
55 changed files with 11815 additions and 246 deletions

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@@ -2,7 +2,9 @@
"$schema": "https://unpkg.com/@changesets/config@3.1.1/schema.json",
"changelog": [
"@changesets/changelog-github",
{ "repo": "eyaltoledano/claude-task-master" }
{
"repo": "eyaltoledano/claude-task-master"
}
],
"commit": false,
"fixed": [],
@@ -10,5 +12,7 @@
"access": "public",
"baseBranch": "main",
"updateInternalDependencies": "patch",
"ignore": []
}
"ignore": [
"docs"
]
}

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@@ -0,0 +1,12 @@
---
"task-master-ai": minor
---
Add compact mode --compact / -c flag to the `tm list` CLI command
- outputs tasks in a minimal, git-style one-line format. This reduces verbose output from ~30+ lines of dashboards and tables to just 1 line per task, making it much easier to quickly scan available tasks.
- Git-style format: ID STATUS TITLE (PRIORITY) → DEPS
- Color-coded status, priority, and dependencies
- Smart title truncation and dependency abbreviation
- Subtask support with indentation
- Full backward compatibility with existing list options

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---
"extension": minor
---
Display current task ID on task details page

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@@ -0,0 +1,5 @@
---
"task-master-ai": minor
---
Remove `clear` Taskmaster claude code commands since they were too close to the claude-code clear command

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Clear all subtasks from all tasks globally.
## Global Subtask Clearing
Remove all subtasks across the entire project. Use with extreme caution.
## Execution
```bash
task-master clear-subtasks --all
```
## Pre-Clear Analysis
1. **Project-Wide Summary**
```
Global Subtask Summary
━━━━━━━━━━━━━━━━━━━━
Total parent tasks: 12
Total subtasks: 47
- Completed: 15
- In-progress: 8
- Pending: 24
Work at risk: ~120 hours
```
2. **Critical Warnings**
- In-progress subtasks that will lose work
- Completed subtasks with valuable history
- Complex dependency chains
- Integration test results
## Double Confirmation
```
⚠️ DESTRUCTIVE OPERATION WARNING ⚠️
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This will remove ALL 47 subtasks from your project
Including 8 in-progress and 15 completed subtasks
This action CANNOT be undone
Type 'CLEAR ALL SUBTASKS' to confirm:
```
## Smart Safeguards
- Require explicit confirmation phrase
- Create automatic backup
- Log all removed data
- Option to export first
## Use Cases
Valid reasons for global clear:
- Project restructuring
- Major pivot in approach
- Starting fresh breakdown
- Switching to different task organization
## Process
1. Full project analysis
2. Create backup file
3. Show detailed impact
4. Require confirmation
5. Execute removal
6. Generate summary report
## Alternative Suggestions
Before clearing all:
- Export subtasks to file
- Clear only pending subtasks
- Clear by task category
- Archive instead of delete
## Post-Clear Report
```
Global Subtask Clear Complete
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Removed: 47 subtasks from 12 tasks
Backup saved: .taskmaster/backup/subtasks-20240115.json
Parent tasks updated: 12
Time estimates adjusted: Yes
Next steps:
- Review updated task list
- Re-expand complex tasks as needed
- Check project timeline
```

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@@ -1,86 +0,0 @@
Clear all subtasks from a specific task.
Arguments: $ARGUMENTS (task ID)
Remove all subtasks from a parent task at once.
## Clearing Subtasks
Bulk removal of all subtasks from a parent task.
## Execution
```bash
task-master clear-subtasks --id=<task-id>
```
## Pre-Clear Analysis
1. **Subtask Summary**
- Number of subtasks
- Completion status of each
- Work already done
- Dependencies affected
2. **Impact Assessment**
- Data that will be lost
- Dependencies to be removed
- Effect on project timeline
- Parent task implications
## Confirmation Required
```
Clear Subtasks Confirmation
━━━━━━━━━━━━━━━━━━━━━━━━━
Parent Task: #5 "Implement user authentication"
Subtasks to remove: 4
- #5.1 "Setup auth framework" (done)
- #5.2 "Create login form" (in-progress)
- #5.3 "Add validation" (pending)
- #5.4 "Write tests" (pending)
⚠️ This will permanently delete all subtask data
Continue? (y/n)
```
## Smart Features
- Option to convert to standalone tasks
- Backup task data before clearing
- Preserve completed work history
- Update parent task appropriately
## Process
1. List all subtasks for confirmation
2. Check for in-progress work
3. Remove all subtasks
4. Update parent task
5. Clean up dependencies
## Alternative Options
Suggest alternatives:
- Convert important subtasks to tasks
- Keep completed subtasks
- Archive instead of delete
- Export subtask data first
## Post-Clear
- Show updated parent task
- Recalculate time estimates
- Update task complexity
- Suggest next steps
## Example
```
/project:tm/clear-subtasks 5
→ Found 4 subtasks to remove
→ Warning: Subtask #5.2 is in-progress
→ Cleared all subtasks from task #5
→ Updated parent task estimates
→ Suggestion: Consider re-expanding with better breakdown
```

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@@ -1,14 +1,39 @@
# Task Master [![GitHub stars](https://img.shields.io/github/stars/eyaltoledano/claude-task-master?style=social)](https://github.com/eyaltoledano/claude-task-master/stargazers)
<a name="readme-top"></a>
[![CI](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml/badge.svg)](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml) [![npm version](https://badge.fury.io/js/task-master-ai.svg)](https://badge.fury.io/js/task-master-ai) [![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/taskmasterai?style=flat)](https://discord.gg/taskmasterai) [![License: MIT with Commons Clause](https://img.shields.io/badge/license-MIT%20with%20Commons%20Clause-blue.svg)](LICENSE)
<div align='center'>
<a href="https://trendshift.io/repositories/13971" target="_blank"><img src="https://trendshift.io/api/badge/repositories/13971" alt="eyaltoledano%2Fclaude-task-master | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>
[![NPM Downloads](https://img.shields.io/npm/d18m/task-master-ai?style=flat)](https://www.npmjs.com/package/task-master-ai) [![NPM Downloads](https://img.shields.io/npm/dm/task-master-ai?style=flat)](https://www.npmjs.com/package/task-master-ai) [![NPM Downloads](https://img.shields.io/npm/dw/task-master-ai?style=flat)](https://www.npmjs.com/package/task-master-ai)
<p align="center">
<a href="https://task-master.dev"><img src="./images/logo.png?raw=true" alt="Taskmaster logo"></a>
</p>
## By [@eyaltoledano](https://x.com/eyaltoledano), [@RalphEcom](https://x.com/RalphEcom) & [@jasonzhou1993](https://x.com/jasonzhou1993)
<p align="center">
<b>Taskmaster</b>: A task management system for AI-driven development, designed to work seamlessly with any AI chat.
</p>
<p align="center">
<a href="https://discord.gg/taskmasterai" target="_blank"><img src="https://dcbadge.limes.pink/api/server/https://discord.gg/taskmasterai?style=flat" alt="Discord"></a> |
<a href="https://docs.task-master.dev" target="_blank">Docs</a>
</p>
<p align="center">
<a href="https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml"><img src="https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml/badge.svg" alt="CI"></a>
<a href="https://github.com/eyaltoledano/claude-task-master/stargazers"><img src="https://img.shields.io/github/stars/eyaltoledano/claude-task-master?style=social" alt="GitHub stars"></a>
<a href="https://badge.fury.io/js/task-master-ai"><img src="https://badge.fury.io/js/task-master-ai.svg" alt="npm version"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT%20with%20Commons%20Clause-blue.svg" alt="License"></a>
</p>
<p align="center">
<a href="https://www.npmjs.com/package/task-master-ai"><img src="https://img.shields.io/npm/d18m/task-master-ai?style=flat" alt="NPM Downloads"></a>
<a href="https://www.npmjs.com/package/task-master-ai"><img src="https://img.shields.io/npm/dm/task-master-ai?style=flat" alt="NPM Downloads"></a>
<a href="https://www.npmjs.com/package/task-master-ai"><img src="https://img.shields.io/npm/dw/task-master-ai?style=flat" alt="NPM Downloads"></a>
</p>
## By [@eyaltoledano](https://x.com/eyaltoledano) & [@RalphEcom](https://x.com/RalphEcom)
[![Twitter Follow](https://img.shields.io/twitter/follow/eyaltoledano)](https://x.com/eyaltoledano)
[![Twitter Follow](https://img.shields.io/twitter/follow/RalphEcom)](https://x.com/RalphEcom)
[![Twitter Follow](https://img.shields.io/twitter/follow/jasonzhou1993)](https://x.com/jasonzhou1993)
A task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI.

22
apps/docs/README.md Normal file
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# Task Master Documentation
Welcome to the Task Master documentation. Use the links below to navigate to the information you need:
## Getting Started
- [Configuration Guide](archive/configuration.md) - Set up environment variables and customize Task Master
- [Tutorial](archive/ctutorial.md) - Step-by-step guide to getting started with Task Master
## Reference
- [Command Reference](archive/ccommand-reference.md) - Complete list of all available commands
- [Task Structure](archive/ctask-structure.md) - Understanding the task format and features
## Examples & Licensing
- [Example Interactions](archive/cexamples.md) - Common Cursor AI interaction examples
- [Licensing Information](archive/clicensing.md) - Detailed information about the license
## Need More Help?
If you can't find what you're looking for in these docs, please check the [main README](../README.md) or visit our [GitHub repository](https://github.com/eyaltoledano/claude-task-master).

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---
title: "Installation(2)"
description: "This guide walks you through setting up Task Master in your development environment."
---
## Initial Setup
<Tip>
MCP (Model Control Protocol) provides the easiest way to get started with Task Master directly in your editor.
</Tip>
<AccordionGroup>
<Accordion title="Option 1: Using MCP (Recommended)" icon="sparkles">
<Steps>
<Step title="Add the MCP config to your editor">
<Link href="https://cursor.sh">Cursor</Link> recommended, but it works with other text editors
```json
{
"mcpServers": {
"taskmaster-ai": {
"command": "npx",
"args": ["-y", "--package", "task-master-ai", "task-master-mcp"],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
"MODEL": "claude-3-7-sonnet-20250219",
"PERPLEXITY_MODEL": "sonar-pro",
"MAX_TOKENS": 128000,
"TEMPERATURE": 0.2,
"DEFAULT_SUBTASKS": 5,
"DEFAULT_PRIORITY": "medium"
}
}
}
}
```
</Step>
<Step title="Enable the MCP in your editor settings">
</Step>
<Step title="Prompt the AI to initialize Task Master">
> "Can you please initialize taskmaster-ai into my project?"
**The AI will:**
1. Create necessary project structure
2. Set up initial configuration files
3. Guide you through the rest of the process
4. Place your PRD document in the `scripts/` directory (e.g., `scripts/prd.txt`)
5. **Use natural language commands** to interact with Task Master:
> "Can you parse my PRD at scripts/prd.txt?"
>
> "What's the next task I should work on?"
>
> "Can you help me implement task 3?"
</Step>
</Steps>
</Accordion>
<Accordion title="Option 2: Manual Installation">
If you prefer to use the command line interface directly:
<Steps>
<Step title="Install">
<CodeGroup>
```bash Global
npm install -g task-master-ai
```
```bash Local
npm install task-master-ai
```
</CodeGroup>
</Step>
<Step title="Initialize a new project">
<CodeGroup>
```bash Global
task-master init
```
```bash Local
npx task-master-init
```
</CodeGroup>
</Step>
</Steps>
This will prompt you for project details and set up a new project with the necessary files and structure.
</Accordion>
</AccordionGroup>
## Common Commands
<Tip>
After setting up Task Master, you can use these commands (either via AI prompts or CLI)
</Tip>
```bash
# Parse a PRD and generate tasks
task-master parse-prd your-prd.txt
# List all tasks
task-master list
# Show the next task to work on
task-master next
# Generate task files
task-master generate

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---
title: "AI Client Utilities for MCP Tools"
description: "This document provides examples of how to use the new AI client utilities with AsyncOperationManager in MCP tools."
---
## Examples
<AccordionGroup>
<Accordion title="Basic Usage with Direct Functions">
```javascript
// In your direct function implementation:
import {
getAnthropicClientForMCP,
getModelConfig,
handleClaudeError
} from '../utils/ai-client-utils.js';
export async function someAiOperationDirect(args, log, context) {
try {
// Initialize Anthropic client with session from context
const client = getAnthropicClientForMCP(context.session, log);
// Get model configuration with defaults or session overrides
const modelConfig = getModelConfig(context.session);
// Make API call with proper error handling
try {
const response = await client.messages.create({
model: modelConfig.model,
max_tokens: modelConfig.maxTokens,
temperature: modelConfig.temperature,
messages: [{ role: 'user', content: 'Your prompt here' }]
});
return {
success: true,
data: response
};
} catch (apiError) {
// Use helper to get user-friendly error message
const friendlyMessage = handleClaudeError(apiError);
return {
success: false,
error: {
code: 'AI_API_ERROR',
message: friendlyMessage
}
};
}
} catch (error) {
// Handle client initialization errors
return {
success: false,
error: {
code: 'AI_CLIENT_ERROR',
message: error.message
}
};
}
}
```
</Accordion>
<Accordion title="Integration with AsyncOperationManager">
```javascript
// In your MCP tool implementation:
import {
AsyncOperationManager,
StatusCodes
} from '../../utils/async-operation-manager.js';
import { someAiOperationDirect } from '../../core/direct-functions/some-ai-operation.js';
export async function someAiOperation(args, context) {
const { session, mcpLog } = context;
const log = mcpLog || console;
try {
// Create operation description
const operationDescription = `AI operation: ${args.someParam}`;
// Start async operation
const operation = AsyncOperationManager.createOperation(
operationDescription,
async (reportProgress) => {
try {
// Initial progress report
reportProgress({
progress: 0,
status: 'Starting AI operation...'
});
// Call direct function with session and progress reporting
const result = await someAiOperationDirect(args, log, {
reportProgress,
mcpLog: log,
session
});
// Final progress update
reportProgress({
progress: 100,
status: result.success ? 'Operation completed' : 'Operation failed',
result: result.data,
error: result.error
});
return result;
} catch (error) {
// Handle errors in the operation
reportProgress({
progress: 100,
status: 'Operation failed',
error: {
message: error.message,
code: error.code || 'OPERATION_FAILED'
}
});
throw error;
}
}
);
// Return immediate response with operation ID
return {
status: StatusCodes.ACCEPTED,
body: {
success: true,
message: 'Operation started',
operationId: operation.id
}
};
} catch (error) {
// Handle errors in the MCP tool
log.error(`Error in someAiOperation: ${error.message}`);
return {
status: StatusCodes.INTERNAL_SERVER_ERROR,
body: {
success: false,
error: {
code: 'OPERATION_FAILED',
message: error.message
}
}
};
}
}
```
</Accordion>
<Accordion title="Using Research Capabilities with Perplexity">
```javascript
// In your direct function:
import {
getPerplexityClientForMCP,
getBestAvailableAIModel
} from '../utils/ai-client-utils.js';
export async function researchOperationDirect(args, log, context) {
try {
// Get the best AI model for this operation based on needs
const { type, client } = await getBestAvailableAIModel(
context.session,
{ requiresResearch: true },
log
);
// Report which model we're using
if (context.reportProgress) {
await context.reportProgress({
progress: 10,
status: `Using ${type} model for research...`
});
}
// Make API call based on the model type
if (type === 'perplexity') {
// Call Perplexity
const response = await client.chat.completions.create({
model: context.session?.env?.PERPLEXITY_MODEL || 'sonar-medium-online',
messages: [{ role: 'user', content: args.researchQuery }],
temperature: 0.1
});
return {
success: true,
data: response.choices[0].message.content
};
} else {
// Call Claude as fallback
// (Implementation depends on specific needs)
// ...
}
} catch (error) {
// Handle errors
return {
success: false,
error: {
code: 'RESEARCH_ERROR',
message: error.message
}
};
}
}
```
</Accordion>
<Accordion title="Model Configuration Override">
```javascript
// In your direct function:
import { getModelConfig } from '../utils/ai-client-utils.js';
// Using custom defaults for a specific operation
const operationDefaults = {
model: 'claude-3-haiku-20240307', // Faster, smaller model
maxTokens: 1000, // Lower token limit
temperature: 0.2 // Lower temperature for more deterministic output
};
// Get model config with operation-specific defaults
const modelConfig = getModelConfig(context.session, operationDefaults);
// Now use modelConfig in your API calls
const response = await client.messages.create({
model: modelConfig.model,
max_tokens: modelConfig.maxTokens,
temperature: modelConfig.temperature
// Other parameters...
});
```
</Accordion>
</AccordionGroup>
## Best Practices
<AccordionGroup>
<Accordion title="Error Handling">
- Always use try/catch blocks around both client initialization and API calls
- Use `handleClaudeError` to provide user-friendly error messages
- Return standardized error objects with code and message
</Accordion>
<Accordion title="Progress Reporting">
- Report progress at key points (starting, processing, completing)
- Include meaningful status messages
- Include error details in progress reports when failures occur
</Accordion>
<Accordion title="Session Handling">
- Always pass the session from the context to the AI client getters
- Use `getModelConfig` to respect user settings from session
</Accordion>
<Accordion title="Model Selection">
- Use `getBestAvailableAIModel` when you need to select between different models
- Set `requiresResearch: true` when you need Perplexity capabilities
</Accordion>
<Accordion title="AsyncOperationManager Integration">
- Create descriptive operation names
- Handle all errors within the operation function
- Return standardized results from direct functions
- Return immediate responses with operation IDs
</Accordion>
</AccordionGroup>

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---
title: "AI Development Workflow"
description: "Learn how Task Master and Cursor AI work together to streamline your development workflow"
---
<Tip>The Cursor agent is pre-configured (via the rules file) to follow this workflow</Tip>
<AccordionGroup>
<Accordion title="1. Task Discovery and Selection">
Ask the agent to list available tasks:
```
What tasks are available to work on next?
```
The agent will:
- Run `task-master list` to see all tasks
- Run `task-master next` to determine the next task to work on
- Analyze dependencies to determine which tasks are ready to be worked on
- Prioritize tasks based on priority level and ID order
- Suggest the next task(s) to implement
</Accordion>
<Accordion title="2. Task Implementation">
When implementing a task, the agent will:
- Reference the task's details section for implementation specifics
- Consider dependencies on previous tasks
- Follow the project's coding standards
- Create appropriate tests based on the task's testStrategy
You can ask:
```
Let's implement task 3. What does it involve?
```
</Accordion>
<Accordion title="3. Task Verification">
Before marking a task as complete, verify it according to:
- The task's specified testStrategy
- Any automated tests in the codebase
- Manual verification if required
</Accordion>
<Accordion title="4. Task Completion">
When a task is completed, tell the agent:
```
Task 3 is now complete. Please update its status.
```
The agent will execute:
```bash
task-master set-status --id=3 --status=done
```
</Accordion>
<Accordion title="5. Handling Implementation Drift">
If during implementation, you discover that:
- The current approach differs significantly from what was planned
- Future tasks need to be modified due to current implementation choices
- New dependencies or requirements have emerged
Tell the agent:
```
We've changed our approach. We're now using Express instead of Fastify. Please update all future tasks to reflect this change.
```
The agent will execute:
```bash
task-master update --from=4 --prompt="Now we are using Express instead of Fastify."
```
This will rewrite or re-scope subsequent tasks in tasks.json while preserving completed work.
</Accordion>
<Accordion title="6. Breaking Down Complex Tasks">
For complex tasks that need more granularity:
```
Task 5 seems complex. Can you break it down into subtasks?
```
The agent will execute:
```bash
task-master expand --id=5 --num=3
```
You can provide additional context:
```
Please break down task 5 with a focus on security considerations.
```
The agent will execute:
```bash
task-master expand --id=5 --prompt="Focus on security aspects"
```
You can also expand all pending tasks:
```
Please break down all pending tasks into subtasks.
```
The agent will execute:
```bash
task-master expand --all
```
For research-backed subtask generation using Perplexity AI:
```
Please break down task 5 using research-backed generation.
```
The agent will execute:
```bash
task-master expand --id=5 --research
```
</Accordion>
</AccordionGroup>
## Example Cursor AI Interactions
<AccordionGroup>
<Accordion title="Starting a new project">
```
I've just initialized a new project with Claude Task Master. I have a PRD at scripts/prd.txt.
Can you help me parse it and set up the initial tasks?
```
</Accordion>
<Accordion title="Working on tasks">
```
What's the next task I should work on? Please consider dependencies and priorities.
```
</Accordion>
<Accordion title="Implementing a specific task">
```
I'd like to implement task 4. Can you help me understand what needs to be done and how to approach it?
```
</Accordion>
<Accordion title="Managing subtasks">
```
I need to regenerate the subtasks for task 3 with a different approach. Can you help me clear and regenerate them?
```
</Accordion>
<Accordion title="Handling changes">
```
We've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks to reflect this change?
```
</Accordion>
<Accordion title="Completing work">
```
I've finished implementing the authentication system described in task 2. All tests are passing.
Please mark it as complete and tell me what I should work on next.
```
</Accordion>
<Accordion title="Analyzing complexity">
```
Can you analyze the complexity of our tasks to help me understand which ones need to be broken down further?
```
</Accordion>
<Accordion title="Viewing complexity report">
```
Can you show me the complexity report in a more readable format?
```
</Accordion>
</AccordionGroup>

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---
title: "Task Master Commands"
description: "A comprehensive reference of all available Task Master commands"
---
<AccordionGroup>
<Accordion title="Parse PRD">
```bash
# Parse a PRD file and generate tasks
task-master parse-prd <prd-file.txt>
# Limit the number of tasks generated
task-master parse-prd <prd-file.txt> --num-tasks=10
```
</Accordion>
<Accordion title="List Tasks">
```bash
# List all tasks
task-master list
# List tasks with a specific status
task-master list --status=<status>
# List tasks with subtasks
task-master list --with-subtasks
# List tasks with a specific status and include subtasks
task-master list --status=<status> --with-subtasks
```
</Accordion>
<Accordion title="Show Next Task">
```bash
# Show the next task to work on based on dependencies and status
task-master next
```
</Accordion>
<Accordion title="Show Specific Task">
```bash
# Show details of a specific task
task-master show <id>
# or
task-master show --id=<id>
# View a specific subtask (e.g., subtask 2 of task 1)
task-master show 1.2
```
</Accordion>
<Accordion title="Update Tasks">
```bash
# Update tasks from a specific ID and provide context
task-master update --from=<id> --prompt="<prompt>"
```
</Accordion>
<Accordion title="Update a Specific Task">
```bash
# Update a single task by ID with new information
task-master update-task --id=<id> --prompt="<prompt>"
# Use research-backed updates with Perplexity AI
task-master update-task --id=<id> --prompt="<prompt>" --research
```
</Accordion>
<Accordion title="Update a Subtask">
```bash
# Append additional information to a specific subtask
task-master update-subtask --id=<parentId.subtaskId> --prompt="<prompt>"
# Example: Add details about API rate limiting to subtask 2 of task 5
task-master update-subtask --id=5.2 --prompt="Add rate limiting of 100 requests per minute"
# Use research-backed updates with Perplexity AI
task-master update-subtask --id=<parentId.subtaskId> --prompt="<prompt>" --research
```
Unlike the `update-task` command which replaces task information, the `update-subtask` command _appends_ new information to the existing subtask details, marking it with a timestamp. This is useful for iteratively enhancing subtasks while preserving the original content.
</Accordion>
<Accordion title="Generate Task Files">
```bash
# Generate individual task files from tasks.json
task-master generate
```
</Accordion>
<Accordion title="Set Task Status">
```bash
# Set status of a single task
task-master set-status --id=<id> --status=<status>
# Set status for multiple tasks
task-master set-status --id=1,2,3 --status=<status>
# Set status for subtasks
task-master set-status --id=1.1,1.2 --status=<status>
```
When marking a task as "done", all of its subtasks will automatically be marked as "done" as well.
</Accordion>
<Accordion title="Expand Tasks">
```bash
# Expand a specific task with subtasks
task-master expand --id=<id> --num=<number>
# Expand with additional context
task-master expand --id=<id> --prompt="<context>"
# Expand all pending tasks
task-master expand --all
# Force regeneration of subtasks for tasks that already have them
task-master expand --all --force
# Research-backed subtask generation for a specific task
task-master expand --id=<id> --research
# Research-backed generation for all tasks
task-master expand --all --research
```
</Accordion>
<Accordion title="Clear Subtasks">
```bash
# Clear subtasks from a specific task
task-master clear-subtasks --id=<id>
# Clear subtasks from multiple tasks
task-master clear-subtasks --id=1,2,3
# Clear subtasks from all tasks
task-master clear-subtasks --all
```
</Accordion>
<Accordion title="Analyze Task Complexity">
```bash
# Analyze complexity of all tasks
task-master analyze-complexity
# Save report to a custom location
task-master analyze-complexity --output=my-report.json
# Use a specific LLM model
task-master analyze-complexity --model=claude-3-opus-20240229
# Set a custom complexity threshold (1-10)
task-master analyze-complexity --threshold=6
# Use an alternative tasks file
task-master analyze-complexity --file=custom-tasks.json
# Use Perplexity AI for research-backed complexity analysis
task-master analyze-complexity --research
```
</Accordion>
<Accordion title="View Complexity Report">
```bash
# Display the task complexity analysis report
task-master complexity-report
# View a report at a custom location
task-master complexity-report --file=my-report.json
```
</Accordion>
<Accordion title="Managing Task Dependencies">
```bash
# Add a dependency to a task
task-master add-dependency --id=<id> --depends-on=<id>
# Remove a dependency from a task
task-master remove-dependency --id=<id> --depends-on=<id>
# Validate dependencies without fixing them
task-master validate-dependencies
# Find and fix invalid dependencies automatically
task-master fix-dependencies
```
</Accordion>
<Accordion title="Add a New Task">
```bash
# Add a new task using AI
task-master add-task --prompt="Description of the new task"
# Add a task with dependencies
task-master add-task --prompt="Description" --dependencies=1,2,3
# Add a task with priority
task-master add-task --prompt="Description" --priority=high
```
</Accordion>
<Accordion title="Initialize a Project">
```bash
# Initialize a new project with Task Master structure
task-master init
```
</Accordion>
</AccordionGroup>

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@@ -0,0 +1,80 @@
---
title: "Configuration"
description: "Configure Task Master through environment variables in a .env file"
---
## Required Configuration
<Note>
Task Master requires an Anthropic API key to function. Add this to your `.env` file:
```bash
ANTHROPIC_API_KEY=sk-ant-api03-your-api-key
```
You can obtain an API key from the [Anthropic Console](https://console.anthropic.com/).
</Note>
## Optional Configuration
| Variable | Default Value | Description | Example |
| --- | --- | --- | --- |
| `MODEL` | `"claude-3-7-sonnet-20250219"` | Claude model to use | `MODEL=claude-3-opus-20240229` |
| `MAX_TOKENS` | `"4000"` | Maximum tokens for responses | `MAX_TOKENS=8000` |
| `TEMPERATURE` | `"0.7"` | Temperature for model responses | `TEMPERATURE=0.5` |
| `DEBUG` | `"false"` | Enable debug logging | `DEBUG=true` |
| `LOG_LEVEL` | `"info"` | Console output level | `LOG_LEVEL=debug` |
| `DEFAULT_SUBTASKS` | `"3"` | Default subtask count | `DEFAULT_SUBTASKS=5` |
| `DEFAULT_PRIORITY` | `"medium"` | Default priority | `DEFAULT_PRIORITY=high` |
| `PROJECT_NAME` | `"MCP SaaS MVP"` | Project name in metadata | `PROJECT_NAME=My Awesome Project` |
| `PROJECT_VERSION` | `"1.0.0"` | Version in metadata | `PROJECT_VERSION=2.1.0` |
| `PERPLEXITY_API_KEY` | - | For research-backed features | `PERPLEXITY_API_KEY=pplx-...` |
| `PERPLEXITY_MODEL` | `"sonar-medium-online"` | Perplexity model | `PERPLEXITY_MODEL=sonar-large-online` |
## Example .env File
```
# Required
ANTHROPIC_API_KEY=sk-ant-api03-your-api-key
# Optional - Claude Configuration
MODEL=claude-3-7-sonnet-20250219
MAX_TOKENS=4000
TEMPERATURE=0.7
# Optional - Perplexity API for Research
PERPLEXITY_API_KEY=pplx-your-api-key
PERPLEXITY_MODEL=sonar-medium-online
# Optional - Project Info
PROJECT_NAME=My Project
PROJECT_VERSION=1.0.0
# Optional - Application Configuration
DEFAULT_SUBTASKS=3
DEFAULT_PRIORITY=medium
DEBUG=false
LOG_LEVEL=info
```
## Troubleshooting
### If `task-master init` doesn't respond:
Try running it with Node directly:
```bash
node node_modules/claude-task-master/scripts/init.js
```
Or clone the repository and run:
```bash
git clone https://github.com/eyaltoledano/claude-task-master.git
cd claude-task-master
node scripts/init.js
```
<Note>
For advanced configuration options and detailed customization, see our [Advanced Configuration Guide] page.
</Note>

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---
title: "Cursor AI Integration"
description: "Learn how to set up and use Task Master with Cursor AI"
---
## Setting up Cursor AI Integration
<Check>
Task Master is designed to work seamlessly with [Cursor AI](https://www.cursor.so/), providing a structured workflow for AI-driven development.
</Check>
<AccordionGroup>
<Accordion title="Using Cursor with MCP (Recommended)" icon="sparkles">
If you've already set up Task Master with MCP in Cursor, the integration is automatic. You can simply use natural language to interact with Task Master:
```
What tasks are available to work on next?
Can you analyze the complexity of our tasks?
I'd like to implement task 4. What does it involve?
```
</Accordion>
<Accordion title="Manual Cursor Setup">
If you're not using MCP, you can still set up Cursor integration:
<Steps>
<Step title="After initializing your project, open it in Cursor">
The `.cursor/rules/dev_workflow.mdc` file is automatically loaded by Cursor, providing the AI with knowledge about the task management system
</Step>
<Step title="Place your PRD document in the scripts/ directory (e.g., scripts/prd.txt)">
</Step>
<Step title="Open Cursor's AI chat and switch to Agent mode">
</Step>
</Steps>
</Accordion>
<Accordion title="Alternative MCP Setup in Cursor">
<Steps>
<Step title="Go to Cursor settings">
</Step>
<Step title="Navigate to the MCP section">
</Step>
<Step title="Click on 'Add New MCP Server'">
</Step>
<Step title="Configure with the following details:">
- Name: "Task Master"
- Type: "Command"
- Command: "npx -y --package task-master-ai task-master-mcp"
</Step>
<Step title="Save Settings">
</Step>
</Steps>
Once configured, you can interact with Task Master's task management commands directly through Cursor's interface, providing a more integrated experience.
</Accordion>
</AccordionGroup>
## Initial Task Generation
In Cursor's AI chat, instruct the agent to generate tasks from your PRD:
```
Please use the task-master parse-prd command to generate tasks from my PRD. The PRD is located at scripts/prd.txt.
```
The agent will execute:
```bash
task-master parse-prd scripts/prd.txt
```
This will:
- Parse your PRD document
- Generate a structured `tasks.json` file with tasks, dependencies, priorities, and test strategies
- The agent will understand this process due to the Cursor rules
### Generate Individual Task Files
Next, ask the agent to generate individual task files:
```
Please generate individual task files from tasks.json
```
The agent will execute:
```bash
task-master generate
```
This creates individual task files in the `tasks/` directory (e.g., `task_001.txt`, `task_002.txt`), making it easier to reference specific tasks.

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---
title: "Example Cursor AI Interactions"
description: "Below are some common interactions with Cursor AI when using Task Master"
---
<AccordionGroup>
<Accordion title="Starting a new project">
```
I've just initialized a new project with Claude Task Master. I have a PRD at scripts/prd.txt.
Can you help me parse it and set up the initial tasks?
```
</Accordion>
<Accordion title="Working on tasks">
```
What's the next task I should work on? Please consider dependencies and priorities.
```
</Accordion>
<Accordion title="Implementing a specific task">
```
I'd like to implement task 4. Can you help me understand what needs to be done and how to approach it?
```
</Accordion>
<Accordion title="Managing subtasks">
```
I need to regenerate the subtasks for task 3 with a different approach. Can you help me clear and regenerate them?
```
</Accordion>
<Accordion title="Handling changes">
```
We've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks to reflect this change?
```
</Accordion>
<Accordion title="Completing work">
```
I've finished implementing the authentication system described in task 2. All tests are passing.
Please mark it as complete and tell me what I should work on next.
```
</Accordion>
<Accordion title="Analyzing complexity">
```
Can you analyze the complexity of our tasks to help me understand which ones need to be broken down further?
```
</Accordion>
<Accordion title="Viewing complexity report">
```
Can you show me the complexity report in a more readable format?
```
</Accordion>
</AccordionGroup>

View File

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---
title: Advanced Tasks
sidebarTitle: "Advanced Tasks"
---
## AI-Driven Development Workflow
The Cursor agent is pre-configured (via the rules file) to follow this workflow:
### 1. Task Discovery and Selection
Ask the agent to list available tasks:
```
What tasks are available to work on next?
```
```
Can you show me tasks 1, 3, and 5 to understand their current status?
```
The agent will:
- Run `task-master list` to see all tasks
- Run `task-master next` to determine the next task to work on
- Run `task-master show 1,3,5` to display multiple tasks with interactive options
- Analyze dependencies to determine which tasks are ready to be worked on
- Prioritize tasks based on priority level and ID order
- Suggest the next task(s) to implement
### 2. Task Implementation
When implementing a task, the agent will:
- Reference the task's details section for implementation specifics
- Consider dependencies on previous tasks
- Follow the project's coding standards
- Create appropriate tests based on the task's testStrategy
You can ask:
```
Let's implement task 3. What does it involve?
```
### 2.1. Viewing Multiple Tasks
For efficient context gathering and batch operations:
```
Show me tasks 5, 7, and 9 so I can plan my implementation approach.
```
The agent will:
- Run `task-master show 5,7,9` to display a compact summary table
- Show task status, priority, and progress indicators
- Provide an interactive action menu with batch operations
- Allow you to perform group actions like marking multiple tasks as in-progress
### 3. Task Verification
Before marking a task as complete, verify it according to:
- The task's specified testStrategy
- Any automated tests in the codebase
- Manual verification if required
### 4. Task Completion
When a task is completed, tell the agent:
```
Task 3 is now complete. Please update its status.
```
The agent will execute:
```bash
task-master set-status --id=3 --status=done
```
### 5. Handling Implementation Drift
If during implementation, you discover that:
- The current approach differs significantly from what was planned
- Future tasks need to be modified due to current implementation choices
- New dependencies or requirements have emerged
Tell the agent:
```
We've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks (from ID 4) to reflect this change?
```
The agent will execute:
```bash
task-master update --from=4 --prompt="Now we are using MongoDB instead of PostgreSQL."
# OR, if research is needed to find best practices for MongoDB:
task-master update --from=4 --prompt="Update to use MongoDB, researching best practices" --research
```
This will rewrite or re-scope subsequent tasks in tasks.json while preserving completed work.
### 6. Reorganizing Tasks
If you need to reorganize your task structure:
```
I think subtask 5.2 would fit better as part of task 7 instead. Can you move it there?
```
The agent will execute:
```bash
task-master move --from=5.2 --to=7.3
```
You can reorganize tasks in various ways:
- Moving a standalone task to become a subtask: `--from=5 --to=7`
- Moving a subtask to become a standalone task: `--from=5.2 --to=7`
- Moving a subtask to a different parent: `--from=5.2 --to=7.3`
- Reordering subtasks within the same parent: `--from=5.2 --to=5.4`
- Moving a task to a new ID position: `--from=5 --to=25` (even if task 25 doesn't exist yet)
- Moving multiple tasks at once: `--from=10,11,12 --to=16,17,18` (must have same number of IDs, Taskmaster will look through each position)
When moving tasks to new IDs:
- The system automatically creates placeholder tasks for non-existent destination IDs
- This prevents accidental data loss during reorganization
- Any tasks that depend on moved tasks will have their dependencies updated
- When moving a parent task, all its subtasks are automatically moved with it and renumbered
This is particularly useful as your project understanding evolves and you need to refine your task structure.
### 7. Resolving Merge Conflicts with Tasks
When working with a team, you might encounter merge conflicts in your tasks.json file if multiple team members create tasks on different branches. The move command makes resolving these conflicts straightforward:
```
I just merged the main branch and there's a conflict with tasks.json. My teammates created tasks 10-15 while I created tasks 10-12 on my branch. Can you help me resolve this?
```
The agent will help you:
1. Keep your teammates' tasks (10-15)
2. Move your tasks to new positions to avoid conflicts:
```bash
# Move your tasks to new positions (e.g., 16-18)
task-master move --from=10 --to=16
task-master move --from=11 --to=17
task-master move --from=12 --to=18
```
This approach preserves everyone's work while maintaining a clean task structure, making it much easier to handle task conflicts than trying to manually merge JSON files.
### 8. Breaking Down Complex Tasks
For complex tasks that need more granularity:
```
Task 5 seems complex. Can you break it down into subtasks?
```
The agent will execute:
```bash
task-master expand --id=5 --num=3
```
You can provide additional context:
```
Please break down task 5 with a focus on security considerations.
```
The agent will execute:
```bash
task-master expand --id=5 --prompt="Focus on security aspects"
```
You can also expand all pending tasks:
```
Please break down all pending tasks into subtasks.
```
The agent will execute:
```bash
task-master expand --all
```
For research-backed subtask generation using the configured research model:
```
Please break down task 5 using research-backed generation.
```
The agent will execute:
```bash
task-master expand --id=5 --research
```

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---
title: Advanced Configuration
sidebarTitle: "Advanced Configuration"
---
Taskmaster uses two primary methods for configuration:
1. **`.taskmaster/config.json` File (Recommended - New Structure)**
- This JSON file stores most configuration settings, including AI model selections, parameters, logging levels, and project defaults.
- **Location:** This file is created in the `.taskmaster/` directory when you run the `task-master models --setup` interactive setup or initialize a new project with `task-master init`.
- **Migration:** Existing projects with `.taskmasterconfig` in the root will continue to work, but should be migrated to the new structure using `task-master migrate`.
- **Management:** Use the `task-master models --setup` command (or `models` MCP tool) to interactively create and manage this file. You can also set specific models directly using `task-master models --set-<role>=<model_id>`, adding `--ollama` or `--openrouter` flags for custom models. Manual editing is possible but not recommended unless you understand the structure.
- **Example Structure:**
```json
{
"models": {
"main": {
"provider": "anthropic",
"modelId": "claude-3-7-sonnet-20250219",
"maxTokens": 64000,
"temperature": 0.2,
"baseURL": "https://api.anthropic.com/v1"
},
"research": {
"provider": "perplexity",
"modelId": "sonar-pro",
"maxTokens": 8700,
"temperature": 0.1,
"baseURL": "https://api.perplexity.ai/v1"
},
"fallback": {
"provider": "anthropic",
"modelId": "claude-3-5-sonnet",
"maxTokens": 64000,
"temperature": 0.2
}
},
"global": {
"logLevel": "info",
"debug": false,
"defaultSubtasks": 5,
"defaultPriority": "medium",
"defaultTag": "master",
"projectName": "Your Project Name",
"ollamaBaseURL": "http://localhost:11434/api",
"azureBaseURL": "https://your-endpoint.azure.com/openai/deployments",
"vertexProjectId": "your-gcp-project-id",
"vertexLocation": "us-central1"
}
}
```
2. **Legacy `.taskmasterconfig` File (Backward Compatibility)**
- For projects that haven't migrated to the new structure yet.
- **Location:** Project root directory.
- **Migration:** Use `task-master migrate` to move this to `.taskmaster/config.json`.
- **Deprecation:** While still supported, you'll see warnings encouraging migration to the new structure.
## Environment Variables (`.env` file or MCP `env` block - For API Keys Only)
- Used **exclusively** for sensitive API keys and specific endpoint URLs.
- **Location:**
- For CLI usage: Create a `.env` file in your project root.
- For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.
- **Required API Keys (Depending on configured providers):**
- `ANTHROPIC_API_KEY`: Your Anthropic API key.
- `PERPLEXITY_API_KEY`: Your Perplexity API key.
- `OPENAI_API_KEY`: Your OpenAI API key.
- `GOOGLE_API_KEY`: Your Google API key (also used for Vertex AI provider).
- `MISTRAL_API_KEY`: Your Mistral API key.
- `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
- `OPENROUTER_API_KEY`: Your OpenRouter API key.
- `XAI_API_KEY`: Your X-AI API key.
- **Optional Endpoint Overrides:**
- **Per-role `baseURL` in `.taskmasterconfig`:** You can add a `baseURL` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.
- **Environment Variable Overrides (`<PROVIDER>_BASE_URL`):** For greater flexibility, especially with third-party services, you can set an environment variable like `OPENAI_BASE_URL` or `MISTRAL_BASE_URL`. This will override any `baseURL` set in the configuration file for that provider. This is the recommended way to connect to OpenAI-compatible APIs.
- `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseURL` for the Azure model role).
- `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).
- `VERTEX_PROJECT_ID`: Your Google Cloud project ID for Vertex AI. Required when using the 'vertex' provider.
- `VERTEX_LOCATION`: Google Cloud region for Vertex AI (e.g., 'us-central1'). Default is 'us-central1'.
- `GOOGLE_APPLICATION_CREDENTIALS`: Path to service account credentials JSON file for Google Cloud auth (alternative to API key for Vertex AI).
**Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmaster/config.json`** (or `.taskmasterconfig` for unmigrated projects), not environment variables.
## Tagged Task Lists Configuration (v0.17+)
Taskmaster includes a tagged task lists system for multi-context task management.
### Global Tag Settings
```json
"global": {
"defaultTag": "master"
}
```
- **`defaultTag`** (string): Default tag context for new operations (default: "master")
### Git Integration
Task Master provides manual git integration through the `--from-branch` option:
- **Manual Tag Creation**: Use `task-master add-tag --from-branch` to create a tag based on your current git branch name
- **User Control**: No automatic tag switching - you control when and how tags are created
- **Flexible Workflow**: Supports any git workflow without imposing rigid branch-tag mappings
## State Management File
Taskmaster uses `.taskmaster/state.json` to track tagged system runtime information:
```json
{
"currentTag": "master",
"lastSwitched": "2025-06-11T20:26:12.598Z",
"migrationNoticeShown": true
}
```
- **`currentTag`**: Currently active tag context
- **`lastSwitched`**: Timestamp of last tag switch
- **`migrationNoticeShown`**: Whether migration notice has been displayed
This file is automatically created during tagged system migration and should not be manually edited.
## Example `.env` File (for API Keys)
```
# Required API keys for providers configured in .taskmaster/config.json
ANTHROPIC_API_KEY=sk-ant-api03-your-key-here
PERPLEXITY_API_KEY=pplx-your-key-here
# OPENAI_API_KEY=sk-your-key-here
# GOOGLE_API_KEY=AIzaSy...
# AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here
# etc.
# Optional Endpoint Overrides
# Use a specific provider's base URL, e.g., for an OpenAI-compatible API
# OPENAI_BASE_URL=https://api.third-party.com/v1
#
# Azure OpenAI Configuration
# AZURE_OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/ or https://your-endpoint-name.cognitiveservices.azure.com/openai/deployments
# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api
# Google Vertex AI Configuration (Required if using 'vertex' provider)
# VERTEX_PROJECT_ID=your-gcp-project-id
```
## Troubleshooting
### Configuration Errors
- If Task Master reports errors about missing configuration or cannot find the config file, run `task-master models --setup` in your project root to create or repair the file.
- For new projects, config will be created at `.taskmaster/config.json`. For legacy projects, you may want to use `task-master migrate` to move to the new structure.
- Ensure API keys are correctly placed in your `.env` file (for CLI) or `.cursor/mcp.json` (for MCP) and are valid for the providers selected in your config file.
### If `task-master init` doesn't respond:
Try running it with Node directly:
```bash
node node_modules/claude-task-master/scripts/init.js
```
Or clone the repository and run:
```bash
git clone https://github.com/eyaltoledano/claude-task-master.git
cd claude-task-master
node scripts/init.js
```
## Provider-Specific Configuration
### Google Vertex AI Configuration
Google Vertex AI is Google Cloud's enterprise AI platform and requires specific configuration:
1. **Prerequisites**:
- A Google Cloud account with Vertex AI API enabled
- Either a Google API key with Vertex AI permissions OR a service account with appropriate roles
- A Google Cloud project ID
2. **Authentication Options**:
- **API Key**: Set the `GOOGLE_API_KEY` environment variable
- **Service Account**: Set `GOOGLE_APPLICATION_CREDENTIALS` to point to your service account JSON file
3. **Required Configuration**:
- Set `VERTEX_PROJECT_ID` to your Google Cloud project ID
- Set `VERTEX_LOCATION` to your preferred Google Cloud region (default: us-central1)
4. **Example Setup**:
```bash
# In .env file
GOOGLE_API_KEY=AIzaSyXXXXXXXXXXXXXXXXXXXXXXXXX
VERTEX_PROJECT_ID=my-gcp-project-123
VERTEX_LOCATION=us-central1
```
Or using service account:
```bash
# In .env file
GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
VERTEX_PROJECT_ID=my-gcp-project-123
VERTEX_LOCATION=us-central1
```
5. **In .taskmaster/config.json**:
```json
"global": {
"vertexProjectId": "my-gcp-project-123",
"vertexLocation": "us-central1"
}
```
### Azure OpenAI Configuration
Azure OpenAI provides enterprise-grade OpenAI models through Microsoft's Azure cloud platform and requires specific configuration:
1. **Prerequisites**:
- An Azure account with an active subscription
- Azure OpenAI service resource created in the Azure portal
- Azure OpenAI API key and endpoint URL
- Deployed models (e.g., gpt-4o, gpt-4o-mini, gpt-4.1, etc) in your Azure OpenAI resource
2. **Authentication**:
- Set the `AZURE_OPENAI_API_KEY` environment variable with your Azure OpenAI API key
- Configure the endpoint URL using one of the methods below
3. **Configuration Options**:
**Option 1: Using Global Azure Base URL (affects all Azure models)**
```json
// In .taskmaster/config.json
{
"models": {
"main": {
"provider": "azure",
"modelId": "gpt-4o",
"maxTokens": 16000,
"temperature": 0.7
},
"fallback": {
"provider": "azure",
"modelId": "gpt-4o-mini",
"maxTokens": 10000,
"temperature": 0.7
}
},
"global": {
"azureBaseURL": "https://your-resource-name.azure.com/openai/deployments"
}
}
```
**Option 2: Using Per-Model Base URLs (recommended for flexibility)**
```json
// In .taskmaster/config.json
{
"models": {
"main": {
"provider": "azure",
"modelId": "gpt-4o",
"maxTokens": 16000,
"temperature": 0.7,
"baseURL": "https://your-resource-name.azure.com/openai/deployments"
},
"research": {
"provider": "perplexity",
"modelId": "sonar-pro",
"maxTokens": 8700,
"temperature": 0.1
},
"fallback": {
"provider": "azure",
"modelId": "gpt-4o-mini",
"maxTokens": 10000,
"temperature": 0.7,
"baseURL": "https://your-resource-name.azure.com/openai/deployments"
}
}
}
```
4. **Environment Variables**:
```bash
# In .env file
AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here
# Optional: Override endpoint for all Azure models
AZURE_OPENAI_ENDPOINT=https://your-resource-name.azure.com/openai/deployments
```
5. **Important Notes**:
- **Model Deployment Names**: The `modelId` in your configuration should match the **deployment name** you created in Azure OpenAI Studio, not the underlying model name
- **Base URL Priority**: Per-model `baseURL` settings override the global `azureBaseURL` setting
- **Endpoint Format**: When using per-model `baseURL`, use the full path including `/openai/deployments`
6. **Troubleshooting**:
**"Resource not found" errors:**
- Ensure your `baseURL` includes the full path: `https://your-resource-name.openai.azure.com/openai/deployments`
- Verify that your deployment name in `modelId` exactly matches what's configured in Azure OpenAI Studio
- Check that your Azure OpenAI resource is in the correct region and properly deployed
**Authentication errors:**
- Verify your `AZURE_OPENAI_API_KEY` is correct and has not expired
- Ensure your Azure OpenAI resource has the necessary permissions
- Check that your subscription has not been suspended or reached quota limits
**Model availability errors:**
- Confirm the model is deployed in your Azure OpenAI resource
- Verify the deployment name matches your configuration exactly (case-sensitive)
- Ensure the model deployment is in a "Succeeded" state in Azure OpenAI Studio
- Ensure youre not getting rate limited by `maxTokens` maintain appropriate Tokens per Minute Rate Limit (TPM) in your deployment.

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---
title: Intro to Advanced Usage
sidebarTitle: "Advanced Usage"
---
# Best Practices
Explore advanced tips, recommended workflows, and best practices for getting the most out of Task Master.

View File

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---
title: CLI Commands
sidebarTitle: "CLI Commands"
---
<AccordionGroup>
<Accordion title="Parse PRD">
```bash
# Parse a PRD file and generate tasks
task-master parse-prd <prd-file.txt>
# Limit the number of tasks generated
task-master parse-prd <prd-file.txt> --num-tasks=10
```
</Accordion>
<Accordion title="List Tasks">
```bash
# List all tasks
task-master list
# List tasks with a specific status
task-master list --status=<status>
# List tasks with subtasks
task-master list --with-subtasks
# List tasks with a specific status and include subtasks
task-master list --status=<status> --with-subtasks
```
</Accordion>
<Accordion title="Show Next Task">
```bash
# Show the next task to work on based on dependencies and status
task-master next
```
</Accordion>
<Accordion title="Show Specific Task">
```bash
# Show details of a specific task
task-master show <id>
# or
task-master show --id=<id>
# View a specific subtask (e.g., subtask 2 of task 1)
task-master show 1.2
```
</Accordion>
<Accordion title="Update Tasks">
```bash
# Update tasks from a specific ID and provide context
task-master update --from=<id> --prompt="<prompt>"
```
</Accordion>
<Accordion title="Update a Specific Task">
```bash
# Update a single task by ID with new information
task-master update-task --id=<id> --prompt="<prompt>"
# Use research-backed updates with Perplexity AI
task-master update-task --id=<id> --prompt="<prompt>" --research
```
</Accordion>
<Accordion title="Update a Subtask">
```bash
# Append additional information to a specific subtask
task-master update-subtask --id=<parentId.subtaskId> --prompt="<prompt>"
# Example: Add details about API rate limiting to subtask 2 of task 5
task-master update-subtask --id=5.2 --prompt="Add rate limiting of 100 requests per minute"
# Use research-backed updates with Perplexity AI
task-master update-subtask --id=<parentId.subtaskId> --prompt="<prompt>" --research
```
Unlike the `update-task` command which replaces task information, the `update-subtask` command _appends_ new information to the existing subtask details, marking it with a timestamp. This is useful for iteratively enhancing subtasks while preserving the original content.
</Accordion>
<Accordion title="Generate Task Files">
```bash
# Generate individual task files from tasks.json
task-master generate
```
</Accordion>
<Accordion title="Set Task Status">
```bash
# Set status of a single task
task-master set-status --id=<id> --status=<status>
# Set status for multiple tasks
task-master set-status --id=1,2,3 --status=<status>
# Set status for subtasks
task-master set-status --id=1.1,1.2 --status=<status>
```
When marking a task as "done", all of its subtasks will automatically be marked as "done" as well.
</Accordion>
<Accordion title="Expand Tasks">
```bash
# Expand a specific task with subtasks
task-master expand --id=<id> --num=<number>
# Expand with additional context
task-master expand --id=<id> --prompt="<context>"
# Expand all pending tasks
task-master expand --all
# Force regeneration of subtasks for tasks that already have them
task-master expand --all --force
# Research-backed subtask generation for a specific task
task-master expand --id=<id> --research
# Research-backed generation for all tasks
task-master expand --all --research
```
</Accordion>
<Accordion title="Clear Subtasks">
```bash
# Clear subtasks from a specific task
task-master clear-subtasks --id=<id>
# Clear subtasks from multiple tasks
task-master clear-subtasks --id=1,2,3
# Clear subtasks from all tasks
task-master clear-subtasks --all
```
</Accordion>
<Accordion title="Analyze Task Complexity">
```bash
# Analyze complexity of all tasks
task-master analyze-complexity
# Save report to a custom location
task-master analyze-complexity --output=my-report.json
# Use a specific LLM model
task-master analyze-complexity --model=claude-3-opus-20240229
# Set a custom complexity threshold (1-10)
task-master analyze-complexity --threshold=6
# Use an alternative tasks file
task-master analyze-complexity --file=custom-tasks.json
# Use Perplexity AI for research-backed complexity analysis
task-master analyze-complexity --research
```
</Accordion>
<Accordion title="View Complexity Report">
```bash
# Display the task complexity analysis report
task-master complexity-report
# View a report at a custom location
task-master complexity-report --file=my-report.json
```
</Accordion>
<Accordion title="Managing Task Dependencies">
```bash
# Add a dependency to a task
task-master add-dependency --id=<id> --depends-on=<id>
# Remove a dependency from a task
task-master remove-dependency --id=<id> --depends-on=<id>
# Validate dependencies without fixing them
task-master validate-dependencies
# Find and fix invalid dependencies automatically
task-master fix-dependencies
```
</Accordion>
<Accordion title="Add a New Task">
```bash
# Add a new task using AI
task-master add-task --prompt="Description of the new task"
# Add a task with dependencies
task-master add-task --prompt="Description" --dependencies=1,2,3
# Add a task with priority
task-master add-task --prompt="Description" --priority=high
```
</Accordion>
<Accordion title="Initialize a Project">
```bash
# Initialize a new project with Task Master structure
task-master init
```
</Accordion>
</AccordionGroup>

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---
title: Technical Capabilities
sidebarTitle: "Technical Capabilities"
---
# Capabilities (Technical)
Discover the technical capabilities of Task Master, including supported models, integrations, and more.
# CLI Interface Synopsis
This document outlines the command-line interface (CLI) for the Task Master application, as defined in `bin/task-master.js` and the `scripts/modules/commands.js` file (which I will assume exists based on the context). This guide is intended for those writing user-facing documentation to understand how users interact with the application from the command line.
## Entry Point
The main entry point for the CLI is the `task-master` command, which is an executable script that spawns the main application logic in `scripts/dev.js`.
## Global Options
The following options are available for all commands:
- `-h, --help`: Display help information.
- `--version`: Display the application's version.
## Commands
The CLI is organized into a series of commands, each with its own set of options. The following is a summary of the available commands, categorized by their functionality.
### 1. Task and Subtask Management
- **`add`**: Creates a new task using an AI-powered prompt.
- `--prompt <prompt>`: The prompt to use for generating the task.
- `--dependencies <dependencies>`: A comma-separated list of task IDs that this task depends on.
- `--priority <priority>`: The priority of the task (e.g., `high`, `medium`, `low`).
- **`add-subtask`**: Adds a subtask to a parent task.
- `--parent-id <parentId>`: The ID of the parent task.
- `--task-id <taskId>`: The ID of an existing task to convert to a subtask.
- `--title <title>`: The title of the new subtask.
- **`remove`**: Removes one or more tasks or subtasks.
- `--ids <ids>`: A comma-separated list of task or subtask IDs to remove.
- **`remove-subtask`**: Removes a subtask from its parent.
- `--id <subtaskId>`: The ID of the subtask to remove (in the format `parentId.subtaskId`).
- `--convert-to-task`: Converts the subtask to a standalone task.
- **`update`**: Updates multiple tasks starting from a specific ID.
- `--from <fromId>`: The ID of the task to start updating from.
- `--prompt <prompt>`: The new context to apply to the tasks.
- **`update-task`**: Updates a single task.
- `--id <taskId>`: The ID of the task to update.
- `--prompt <prompt>`: The new context to apply to the task.
- **`update-subtask`**: Appends information to a subtask.
- `--id <subtaskId>`: The ID of the subtask to update (in the format `parentId.subtaskId`).
- `--prompt <prompt>`: The information to append to the subtask.
- **`move`**: Moves a task or subtask.
- `--from <sourceId>`: The ID of the task or subtask to move.
- `--to <destinationId>`: The destination ID.
- **`clear-subtasks`**: Clears all subtasks from one or more tasks.
- `--ids <ids>`: A comma-separated list of task IDs.
### 2. Task Information and Status
- **`list`**: Lists all tasks.
- `--status <status>`: Filters tasks by status.
- `--with-subtasks`: Includes subtasks in the list.
- **`show`**: Shows the details of a specific task.
- `--id <taskId>`: The ID of the task to show.
- **`next`**: Shows the next task to work on.
- **`set-status`**: Sets the status of a task or subtask.
- `--id <id>`: The ID of the task or subtask.
- `--status <status>`: The new status.
### 3. Task Analysis and Expansion
- **`parse-prd`**: Parses a PRD to generate tasks.
- `--file <file>`: The path to the PRD file.
- `--num-tasks <numTasks>`: The number of tasks to generate.
- **`expand`**: Expands a task into subtasks.
- `--id <taskId>`: The ID of the task to expand.
- `--num-subtasks <numSubtasks>`: The number of subtasks to generate.
- **`expand-all`**: Expands all eligible tasks.
- `--num-subtasks <numSubtasks>`: The number of subtasks to generate for each task.
- **`analyze-complexity`**: Analyzes task complexity.
- `--file <file>`: The path to the tasks file.
- **`complexity-report`**: Displays the complexity analysis report.
### 4. Project and Configuration
- **`init`**: Initializes a new project.
- **`generate`**: Generates individual task files.
- **`migrate`**: Migrates a project to the new directory structure.
- **`research`**: Performs AI-powered research.
- `--query <query>`: The research query.
This synopsis provides a comprehensive overview of the CLI commands and their options, which should be helpful for creating user-facing documentation.
# Core Implementation Synopsis
This document provides a high-level overview of the core implementation of the Task Master application, focusing on the functionalities exposed through `scripts/modules/task-manager.js`. This serves as a guide for understanding the application's capabilities when writing user-facing documentation.
## Core Concepts
The application revolves around the management of tasks and subtasks, which are stored in a `tasks.json` file. The core logic provides functionalities to create, read, update, and delete tasks and subtasks, as well as manage their dependencies and statuses.
### Task Structure
A task is a JSON object with the following key properties:
- `id`: A unique number identifying the task.
- `title`: A string representing the task's title.
- `description`: A string providing a brief description of the task.
- `details`: A string containing detailed information about the task.
- `testStrategy`: A string describing how to test the task.
- `status`: A string representing the task's current status (e.g., `pending`, `in-progress`, `done`).
- `dependencies`: An array of task IDs that this task depends on.
- `priority`: A string representing the task's priority (e.g., `high`, `medium`, `low`).
- `subtasks`: An array of subtask objects.
A subtask has a similar structure to a task but is nested within a parent task.
## Feature Categories
The core functionalities can be categorized as follows:
### 1. Task and Subtask Management
These functions are the bread and butter of the application, allowing for the creation, modification, and deletion of tasks and subtasks.
- **`addTask(prompt, dependencies, priority)`**: Creates a new task using an AI-powered prompt to generate the title, description, details, and test strategy. It can also be used to create a task manually by providing the task data directly.
- **`addSubtask(parentId, existingTaskId, newSubtaskData)`**: Adds a subtask to a parent task. It can either convert an existing task into a subtask or create a new subtask from scratch.
- **`removeTask(taskIds)`**: Removes one or more tasks or subtasks.
- **`removeSubtask(subtaskId, convertToTask)`**: Removes a subtask from its parent. It can optionally convert the subtask into a standalone task.
- **`updateTaskById(taskId, prompt)`**: Updates a task's information based on a prompt.
- **`updateSubtaskById(subtaskId, prompt)`**: Appends additional information to a subtask's details.
- **`updateTasks(fromId, prompt)`**: Updates multiple tasks starting from a specific ID based on a new context.
- **`moveTask(sourceId, destinationId)`**: Moves a task or subtask to a new position.
- **`clearSubtasks(taskIds)`**: Clears all subtasks from one or more tasks.
### 2. Task Information and Status
These functions are used to retrieve information about tasks and manage their status.
- **`listTasks(statusFilter, withSubtasks)`**: Lists all tasks, with options to filter by status and include subtasks.
- **`findTaskById(taskId)`**: Finds a task by its ID.
- **`taskExists(taskId)`**: Checks if a task with a given ID exists.
- **`setTaskStatus(taskIdInput, newStatus)`**: Sets the status of a task or subtask.
-al
- **`updateSingleTaskStatus(taskIdInput, newStatus)`**: A helper function to update the status of a single task or subtask.
- **`findNextTask()`**: Determines the next task to work on based on dependencies and status.
### 3. Task Analysis and Expansion
These functions leverage AI to analyze and break down tasks.
- **`parsePRD(prdPath, numTasks)`**: Parses a Product Requirements Document (PRD) to generate an initial set of tasks.
- **`expandTask(taskId, numSubtasks)`**: Expands a task into a specified number of subtasks using AI.
- **`expandAllTasks(numSubtasks)`**: Expands all eligible pending or in-progress tasks.
- **`analyzeTaskComplexity(options)`**: Analyzes the complexity of tasks and generates recommendations for expansion.
- **`readComplexityReport()`**: Reads the complexity analysis report.
### 4. Dependency Management
These functions are crucial for managing the relationships between tasks.
- **`isTaskDependentOn(task, targetTaskId)`**: Checks if a task has a direct or indirect dependency on another task.
### 5. Project and Configuration
These functions are for managing the project and its configuration.
- **`generateTaskFiles()`**: Generates individual task files from `tasks.json`.
- **`migrateProject()`**: Migrates the project to the new `.taskmaster` directory structure.
- **`performResearch(query, options)`**: Performs AI-powered research with project context.
This overview should provide a solid foundation for creating user-facing documentation. For more detailed information on each function, refer to the source code in `scripts/modules/task-manager/`.
# MCP Interface Synopsis
This document provides an overview of the MCP (Machine-to-Machine Communication Protocol) interface for the Task Master application. The MCP interface is defined in the `mcp-server/` directory and exposes the application's core functionalities as a set of tools that can be called remotely.
## Core Concepts
The MCP interface is built on top of the `fastmcp` library and registers a set of tools that correspond to the core functionalities of the Task Master application. These tools are defined in the `mcp-server/src/tools/` directory and are registered with the MCP server in `mcp-server/src/tools/index.js`.
Each tool is defined with a name, a description, and a set of parameters that are validated using the `zod` library. The `execute` function of each tool calls the corresponding core logic function from `scripts/modules/task-manager.js`.
## Tool Categories
The MCP tools can be categorized in the same way as the core functionalities:
### 1. Task and Subtask Management
- **`add_task`**: Creates a new task.
- **`add_subtask`**: Adds a subtask to a parent task.
- **`remove_task`**: Removes one or more tasks or subtasks.
- **`remove_subtask`**: Removes a subtask from its parent.
- **`update_task`**: Updates a single task.
- **`update_subtask`**: Appends information to a subtask.
- **`update`**: Updates multiple tasks.
- **`move_task`**: Moves a task or subtask.
- **`clear_subtasks`**: Clears all subtasks from one or more tasks.
### 2. Task Information and Status
- **`get_tasks`**: Lists all tasks.
- **`get_task`**: Shows the details of a specific task.
- **`next_task`**: Shows the next task to work on.
- **`set_task_status`**: Sets the status of a task or subtask.
### 3. Task Analysis and Expansion
- **`parse_prd`**: Parses a PRD to generate tasks.
- **`expand_task`**: Expands a task into subtasks.
- **`expand_all`**: Expands all eligible tasks.
- **`analyze_project_complexity`**: Analyzes task complexity.
- **`complexity_report`**: Displays the complexity analysis report.
### 4. Dependency Management
- **`add_dependency`**: Adds a dependency to a task.
- **`remove_dependency`**: Removes a dependency from a task.
- **`validate_dependencies`**: Validates the dependencies of all tasks.
- **`fix_dependencies`**: Fixes any invalid dependencies.
### 5. Project and Configuration
- **`initialize_project`**: Initializes a new project.
- **`generate`**: Generates individual task files.
- **`models`**: Manages AI model configurations.
- **`research`**: Performs AI-powered research.
### 6. Tag Management
- **`add_tag`**: Creates a new tag.
- **`delete_tag`**: Deletes a tag.
- **`list_tags`**: Lists all tags.
- **`use_tag`**: Switches to a different tag.
- **`rename_tag`**: Renames a tag.
- **`copy_tag`**: Copies a tag.
This synopsis provides a clear overview of the MCP interface and its available tools, which will be valuable for anyone writing documentation for developers who need to interact with the Task Master application programmatically.

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---
title: MCP Tools
sidebarTitle: "MCP Tools"
---
# MCP Tools
This document provides an overview of the MCP (Machine-to-Machine Communication Protocol) interface for the Task Master application. The MCP interface is defined in the `mcp-server/` directory and exposes the application's core functionalities as a set of tools that can be called remotely.
## Core Concepts
The MCP interface is built on top of the `fastmcp` library and registers a set of tools that correspond to the core functionalities of the Task Master application. These tools are defined in the `mcp-server/src/tools/` directory and are registered with the MCP server in `mcp-server/src/tools/index.js`.
Each tool is defined with a name, a description, and a set of parameters that are validated using the `zod` library. The `execute` function of each tool calls the corresponding core logic function from `scripts/modules/task-manager.js`.
## Tool Categories
The MCP tools can be categorized in the same way as the core functionalities:
### 1. Task and Subtask Management
- **`add_task`**: Creates a new task.
- **`add_subtask`**: Adds a subtask to a parent task.
- **`remove_task`**: Removes one or more tasks or subtasks.
- **`remove_subtask`**: Removes a subtask from its parent.
- **`update_task`**: Updates a single task.
- **`update_subtask`**: Appends information to a subtask.
- **`update`**: Updates multiple tasks.
- **`move_task`**: Moves a task or subtask.
- **`clear_subtasks`**: Clears all subtasks from one or more tasks.
### 2. Task Information and Status
- **`get_tasks`**: Lists all tasks.
- **`get_task`**: Shows the details of a specific task.
- **`next_task`**: Shows the next task to work on.
- **`set_task_status`**: Sets the status of a task or subtask.
### 3. Task Analysis and Expansion
- **`parse_prd`**: Parses a PRD to generate tasks.
- **`expand_task`**: Expands a task into subtasks.
- **`expand_all`**: Expands all eligible tasks.
- **`analyze_project_complexity`**: Analyzes task complexity.
- **`complexity_report`**: Displays the complexity analysis report.
### 4. Dependency Management
- **`add_dependency`**: Adds a dependency to a task.
- **`remove_dependency`**: Removes a dependency from a task.
- **`validate_dependencies`**: Validates the dependencies of all tasks.
- **`fix_dependencies`**: Fixes any invalid dependencies.
### 5. Project and Configuration
- **`initialize_project`**: Initializes a new project.
- **`generate`**: Generates individual task files.
- **`models`**: Manages AI model configurations.
- **`research`**: Performs AI-powered research.
### 6. Tag Management
- **`add_tag`**: Creates a new tag.
- **`delete_tag`**: Deletes a tag.
- **`list_tags`**: Lists all tags.
- **`use_tag`**: Switches to a different tag.
- **`rename_tag`**: Renames a tag.
- **`copy_tag`**: Copies a tag.

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---
title: "Task Structure"
sidebarTitle: "Task Structure"
description: "Tasks in Task Master follow a specific format designed to provide comprehensive information for both humans and AI assistants."
---
## Task Fields in tasks.json
Tasks in tasks.json have the following structure:
| Field | Description | Example |
| -------------- | ---------------------------------------------- | ------------------------------------------------------ |
| `id` | Unique identifier for the task. | `1` |
| `title` | Brief, descriptive title. | `"Initialize Repo"` |
| `description` | What the task involves. | `"Create a new repository, set up initial structure."` |
| `status` | Current state. | `"pending"`, `"done"`, `"deferred"` |
| `dependencies` | Prerequisite task IDs. ✅ Completed, ⏱️ Pending | `[1, 2]` |
| `priority` | Task importance. | `"high"`, `"medium"`, `"low"` |
| `details` | Implementation instructions. | `"Use GitHub client ID/secret, handle callback..."` |
| `testStrategy` | How to verify success. | `"Deploy and confirm 'Hello World' response."` |
| `subtasks` | Nested subtasks related to the main task. | `[{"id": 1, "title": "Configure OAuth", ...}]` |
## Task File Format
Individual task files follow this format:
```
# Task ID: <id>
# Title: <title>
# Status: <status>
# Dependencies: <comma-separated list of dependency IDs>
# Priority: <priority>
# Description: <brief description>
# Details:
<detailed implementation notes>
# Test Strategy:
<verification approach>
```
## Features in Detail
<AccordionGroup>
<Accordion title="Analyzing Task Complexity">
The `analyze-complexity` command:
- Analyzes each task using AI to assess its complexity on a scale of 1-10
- Recommends optimal number of subtasks based on configured DEFAULT_SUBTASKS
- Generates tailored prompts for expanding each task
- Creates a comprehensive JSON report with ready-to-use commands
- Saves the report to scripts/task-complexity-report.json by default
The generated report contains:
- Complexity analysis for each task (scored 1-10)
- Recommended number of subtasks based on complexity
- AI-generated expansion prompts customized for each task
- Ready-to-run expansion commands directly within each task analysis
</Accordion>
<Accordion title="Viewing Complexity Report">
The `complexity-report` command:
- Displays a formatted, easy-to-read version of the complexity analysis report
- Shows tasks organized by complexity score (highest to lowest)
- Provides complexity distribution statistics (low, medium, high)
- Highlights tasks recommended for expansion based on threshold score
- Includes ready-to-use expansion commands for each complex task
- If no report exists, offers to generate one on the spot
</Accordion>
<Accordion title="Smart Task Expansion">
The `expand` command automatically checks for and uses the complexity report:
When a complexity report exists:
- Tasks are automatically expanded using the recommended subtask count and prompts
- When expanding all tasks, they're processed in order of complexity (highest first)
- Research-backed generation is preserved from the complexity analysis
- You can still override recommendations with explicit command-line options
Example workflow:
```bash
# Generate the complexity analysis report with research capabilities
task-master analyze-complexity --research
# Review the report in a readable format
task-master complexity-report
# Expand tasks using the optimized recommendations
task-master expand --id=8
# or expand all tasks
task-master expand --all
```
</Accordion>
<Accordion title="Finding the Next Task">
The `next` command:
- Identifies tasks that are pending/in-progress and have all dependencies satisfied
- Prioritizes tasks by priority level, dependency count, and task ID
- Displays comprehensive information about the selected task:
- Basic task details (ID, title, priority, dependencies)
- Implementation details
- Subtasks (if they exist)
- Provides contextual suggested actions:
- Command to mark the task as in-progress
- Command to mark the task as done
- Commands for working with subtasks
</Accordion>
<Accordion title="Viewing Specific Task Details">
The `show` command:
- Displays comprehensive details about a specific task or subtask
- Shows task status, priority, dependencies, and detailed implementation notes
- For parent tasks, displays all subtasks and their status
- For subtasks, shows parent task relationship
- Provides contextual action suggestions based on the task's state
- Works with both regular tasks and subtasks (using the format taskId.subtaskId)
</Accordion>
</AccordionGroup>
## Best Practices for AI-Driven Development
<CardGroup cols={2}>
<Card title="📝 Detailed PRD" icon="lightbulb">
The more detailed your PRD, the better the generated tasks will be.
</Card>
<Card title="👀 Review Tasks" icon="magnifying-glass">
After parsing the PRD, review the tasks to ensure they make sense and have appropriate dependencies.
</Card>
<Card title="📊 Analyze Complexity" icon="chart-line">
Use the complexity analysis feature to identify which tasks should be broken down further.
</Card>
<Card title="⛓️ Follow Dependencies" icon="link">
Always respect task dependencies - the Cursor agent will help with this.
</Card>
<Card title="🔄 Update As You Go" icon="arrows-rotate">
If your implementation diverges from the plan, use the update command to keep future tasks aligned.
</Card>
<Card title="📦 Break Down Tasks" icon="boxes-stacked">
Use the expand command to break down complex tasks into manageable subtasks.
</Card>
<Card title="🔄 Regenerate Files" icon="file-arrow-up">
After any updates to tasks.json, regenerate the task files to keep them in sync.
</Card>
<Card title="💬 Provide Context" icon="comment">
When asking the Cursor agent to help with a task, provide context about what you're trying to achieve.
</Card>
<Card title="✅ Validate Dependencies" icon="circle-check">
Periodically run the validate-dependencies command to check for invalid or circular dependencies.
</Card>
</CardGroup>

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{
"$schema": "https://mintlify.com/docs.json",
"theme": "mint",
"name": "Task Master",
"colors": {
"primary": "#3366CC",
"light": "#6699FF",
"dark": "#24478F"
},
"favicon": "/favicon.svg",
"navigation": {
"tabs": [
{
"tab": "Task Master Documentation",
"groups": [
{
"group": "Welcome",
"pages": ["introduction"]
},
{
"group": "Getting Started",
"pages": [
{
"group": "Quick Start",
"pages": [
"getting-started/quick-start/quick-start",
"getting-started/quick-start/requirements",
"getting-started/quick-start/installation",
"getting-started/quick-start/configuration-quick",
"getting-started/quick-start/prd-quick",
"getting-started/quick-start/tasks-quick",
"getting-started/quick-start/execute-quick"
]
},
"getting-started/faq",
"getting-started/contribute"
]
},
{
"group": "Best Practices",
"pages": [
"best-practices/index",
"best-practices/configuration-advanced",
"best-practices/advanced-tasks"
]
},
{
"group": "Technical Capabilities",
"pages": [
"capabilities/mcp",
"capabilities/cli-root-commands",
"capabilities/task-structure"
]
}
]
}
],
"global": {
"anchors": [
{
"anchor": "Github",
"href": "https://github.com/eyaltoledano/claude-task-master",
"icon": "github"
},
{
"anchor": "Discord",
"href": "https://discord.gg/fWJkU7rf",
"icon": "discord"
}
]
}
},
"logo": {
"light": "/logo/task-master-logo.png",
"dark": "/logo/task-master-logo.png"
},
"footer": {
"socials": {
"x": "https://x.com/TaskmasterAI",
"github": "https://github.com/eyaltoledano/claude-task-master"
}
}
}

9
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<svg width="100" height="100" viewBox="0 0 100 100" xmlns="http://www.w3.org/2000/svg">
<!-- Blue form with check from logo -->
<rect x="16" y="10" width="68" height="80" rx="9" fill="#3366CC"/>
<polyline points="33,44 41,55 56,29" fill="none" stroke="#FFFFFF" stroke-width="6"/>
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</svg>

After

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# Contributing to Task Master
Thank you for your interest in contributing to Task Master! We're excited to work with you and appreciate your help in making this project better. 🚀
## 🤝 Our Collaborative Approach
We're a **PR-friendly team** that values collaboration:
- ✅ **We review PRs quickly** - Usually within hours, not days
- ✅ **We're super reactive** - Expect fast feedback and engagement
- ✅ **We sometimes take over PRs** - If your contribution is valuable but needs cleanup, we might jump in to help finish it
- ✅ **We're open to all contributions** - From bug fixes to major features
**We don't mind AI-generated code**, but we do expect you to:
- ✅ **Review and understand** what the AI generated
- ✅ **Test the code thoroughly** before submitting
- ✅ **Ensure it's well-written** and follows our patterns
- ❌ **Don't submit "AI slop"** - untested, unreviewed AI output
> **Why this matters**: We spend significant time reviewing PRs. Help us help you by submitting quality contributions that save everyone time!
## 🚀 Quick Start for Contributors
### 1. Fork and Clone
```bash
git clone https://github.com/YOUR_USERNAME/claude-task-master.git
cd claude-task-master
npm install
```
### 2. Create a Feature Branch
**Important**: Always target the `next` branch, not `main`:
```bash
git checkout next
git pull origin next
git checkout -b feature/your-feature-name
```
### 3. Make Your Changes
Follow our development guidelines below.
### 4. Test Everything Yourself
**Before submitting your PR**, ensure:
```bash
# Run all tests
npm test
# Check formatting
npm run format-check
# Fix formatting if needed
npm run format
```
### 5. Create a Changeset
**Required for most changes**:
```bash
npm run changeset
```
See the [Changeset Guidelines](#changeset-guidelines) below for details.
### 6. Submit Your PR
- Target the `next` branch
- Write a clear description
- Reference any related issues
## 📋 Development Guidelines
### Branch Strategy
- **`main`**: Production-ready code
- **`next`**: Development branch - **target this for PRs**
- **Feature branches**: `feature/description` or `fix/description`
### Code Quality Standards
1. **Write tests** for new functionality
2. **Follow existing patterns** in the codebase
3. **Add JSDoc comments** for functions
4. **Keep functions focused** and single-purpose
### Testing Requirements
Your PR **must pass all CI checks**:
- ✅ **Unit tests**: `npm test`
- ✅ **Format check**: `npm run format-check`
**Test your changes locally first** - this saves review time and shows you care about quality.
## 📦 Changeset Guidelines
We use [Changesets](https://github.com/changesets/changesets) to manage versioning and generate changelogs.
### When to Create a Changeset
**Always create a changeset for**:
- ✅ New features
- ✅ Bug fixes
- ✅ Breaking changes
- ✅ Performance improvements
- ✅ User-facing documentation updates
- ✅ Dependency updates that affect functionality
**Skip changesets for**:
- ❌ Internal documentation only
- ❌ Test-only changes
- ❌ Code formatting/linting
- ❌ Development tooling that doesn't affect users
### How to Create a Changeset
1. **After making your changes**:
```bash
npm run changeset
```
2. **Choose the bump type**:
- **Major**: Breaking changes
- **Minor**: New features
- **Patch**: Bug fixes, docs, performance improvements
3. **Write a clear summary**:
```
Add support for custom AI models in MCP configuration
```
4. **Commit the changeset file** with your changes:
```bash
git add .changeset/*.md
git commit -m "feat: add custom AI model support"
```
### Changeset vs Git Commit Messages
- **Changeset summary**: User-facing, goes in CHANGELOG.md
- **Git commit**: Developer-facing, explains the technical change
Example:
```bash
# Changeset summary (user-facing)
"Add support for custom Ollama models"
# Git commit message (developer-facing)
"feat(models): implement custom Ollama model validation
- Add model validation for custom Ollama endpoints
- Update configuration schema to support custom models
- Add tests for new validation logic"
```
## 🔧 Development Setup
### Prerequisites
- Node.js 18+
- npm or yarn
### Environment Setup
1. **Copy environment template**:
```bash
cp .env.example .env
```
2. **Add your API keys** (for testing AI features):
```bash
ANTHROPIC_API_KEY=your_key_here
OPENAI_API_KEY=your_key_here
# Add others as needed
```
### Running Tests
```bash
# Run all tests
npm test
# Run tests in watch mode
npm run test:watch
# Run with coverage
npm run test:coverage
# Run E2E tests
npm run test:e2e
```
### Code Formatting
We use Prettier for consistent formatting:
```bash
# Check formatting
npm run format-check
# Fix formatting
npm run format
```
## 📝 PR Guidelines
### Before Submitting
- [ ] **Target the `next` branch**
- [ ] **Test everything locally**
- [ ] **Run the full test suite**
- [ ] **Check code formatting**
- [ ] **Create a changeset** (if needed)
- [ ] **Re-read your changes** - ensure they're clean and well-thought-out
### PR Description Template
```markdown
## Description
Brief description of what this PR does.
## Type of Change
- [ ] Bug fix
- [ ] New feature
- [ ] Breaking change
- [ ] Documentation update
## Testing
- [ ] I have tested this locally
- [ ] All existing tests pass
- [ ] I have added tests for new functionality
## Changeset
- [ ] I have created a changeset (or this change doesn't need one)
## Additional Notes
Any additional context or notes for reviewers.
```
### What We Look For
✅ **Good PRs**:
- Clear, focused changes
- Comprehensive testing
- Good commit messages
- Proper changeset (when needed)
- Self-reviewed code
❌ **Avoid**:
- Massive PRs that change everything
- Untested code
- Formatting issues
- Missing changesets for user-facing changes
- AI-generated code that wasn't reviewed
## 🏗️ Project Structure
```
claude-task-master/
├── bin/ # CLI executables
├── mcp-server/ # MCP server implementation
├── scripts/ # Core task management logic
├── src/ # Shared utilities and providers and well refactored code (we are slowly moving everything here)
├── tests/ # Test files
├── docs/ # Documentation
└── .cursor/ # Cursor IDE rules and configuration
└── assets/ # Assets like rules and configuration for all IDEs
```
### Key Areas for Contribution
- **CLI Commands**: `scripts/modules/commands.js`
- **MCP Tools**: `mcp-server/src/tools/`
- **Core Logic**: `scripts/modules/task-manager/`
- **AI Providers**: `src/ai-providers/`
- **Tests**: `tests/`
## 🐛 Reporting Issues
### Bug Reports
Include:
- Task Master version
- Node.js version
- Operating system
- Steps to reproduce
- Expected vs actual behavior
- Error messages/logs
### Feature Requests
Include:
- Clear description of the feature
- Use case/motivation
- Proposed implementation (if you have ideas)
- Willingness to contribute
## 💬 Getting Help
- **Discord**: [Join our community](https://discord.gg/taskmasterai)
- **Issues**: [GitHub Issues](https://github.com/eyaltoledano/claude-task-master/issues)
- **Discussions**: [GitHub Discussions](https://github.com/eyaltoledano/claude-task-master/discussions)
## 📄 License
By contributing, you agree that your contributions will be licensed under the same license as the project (MIT with Commons Clause).
---
**Thank you for contributing to Task Master!** 🎉
Your contributions help make AI-driven development more accessible and efficient for everyone.

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---
title: FAQ
sidebarTitle: "FAQ"
---
Coming soon.
## 💬 Getting Help
- **Discord**: [Join our community](https://discord.gg/taskmasterai)
- **Issues**: [GitHub Issues](https://github.com/eyaltoledano/claude-task-master/issues)
- **Discussions**: [GitHub Discussions](https://github.com/eyaltoledano/claude-task-master/discussions)

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---
title: Configuration
sidebarTitle: "Configuration"
---
Before getting started with Task Master, you'll need to set up your API keys. There are a couple of ways to do this depending on whether you're using the CLI or working inside MCP. It's also a good time to start getting familiar with the other configuration options available — even if you dont need to adjust them yet, knowing whats possible will help down the line.
## API Key Setup
Task Master uses environment variables to securely store provider API keys and optional endpoint URLs.
### MCP Usage: mcp.json file
For MCP/Cursor usage: Configure keys in the env section of your .cursor/mcp.json file.
```java .env lines icon="java"
{
"mcpServers": {
"task-master-ai": {
"command": "node",
"args": ["./mcp-server/server.js"],
"env": {
"ANTHROPIC_API_KEY": "ANTHROPIC_API_KEY_HERE",
"PERPLEXITY_API_KEY": "PERPLEXITY_API_KEY_HERE",
"OPENAI_API_KEY": "OPENAI_API_KEY_HERE",
"GOOGLE_API_KEY": "GOOGLE_API_KEY_HERE",
"XAI_API_KEY": "XAI_API_KEY_HERE",
"OPENROUTER_API_KEY": "OPENROUTER_API_KEY_HERE",
"MISTRAL_API_KEY": "MISTRAL_API_KEY_HERE",
"AZURE_OPENAI_API_KEY": "AZURE_OPENAI_API_KEY_HERE",
"OLLAMA_API_KEY": "OLLAMA_API_KEY_HERE",
"GITHUB_API_KEY": "GITHUB_API_KEY_HERE"
}
}
}
}
```
### CLI Usage: `.env` File
Create a `.env` file in your project root and include the keys for the providers you plan to use:
```java .env lines icon="java"
# Required API keys for providers configured in .taskmaster/config.json
ANTHROPIC_API_KEY=sk-ant-api03-your-key-here
PERPLEXITY_API_KEY=pplx-your-key-here
# OPENAI_API_KEY=sk-your-key-here
# GOOGLE_API_KEY=AIzaSy...
# AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here
# etc.
# Optional Endpoint Overrides
# Use a specific provider's base URL, e.g., for an OpenAI-compatible API
# OPENAI_BASE_URL=https://api.third-party.com/v1
#
# Azure OpenAI Configuration
# AZURE_OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/ or https://your-endpoint-name.cognitiveservices.azure.com/openai/deployments
# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api
# Google Vertex AI Configuration (Required if using 'vertex' provider)
# VERTEX_PROJECT_ID=your-gcp-project-id
```
## What Else Can Be Configured?
The main configuration file (`.taskmaster/config.json`) allows you to control nearly every aspect of Task Masters behavior. Heres a high-level look at what you can customize:
<Tip>
You dont need to configure everything up front. Most settings can be left as defaults or updated later as your workflow evolves.
</Tip>
<Accordion title="View Configuration Options">
### Models and Providers
- Role-based model setup: `main`, `research`, `fallback`
- Provider selection (Anthropic, OpenAI, Perplexity, etc.)
- Model IDs per role
- Temperature, max tokens, and other generation settings
- Custom base URLs for OpenAI-compatible APIs
### Global Settings
- `logLevel`: Logging verbosity
- `debug`: Enable/disable debug mode
- `projectName`: Optional name for your project
- `defaultTag`: Default tag for task grouping
- `defaultSubtasks`: Number of subtasks to auto-generate
- `defaultPriority`: Priority level for new tasks
### API Endpoint Overrides
- `ollamaBaseURL`: Custom Ollama server URL
- `azureBaseURL`: Global Azure endpoint
- `vertexProjectId`: Google Vertex AI project ID
- `vertexLocation`: Region for Vertex AI models
### Tag and Git Integration
- Default tag context per project
- Support for task isolation by tag
- Manual tag creation from Git branches
### State Management
- Active tag tracking
- Migration state
- Last tag switch timestamp
</Accordion>
<Note>
For advanced configuration options and detailed customization, see our [Advanced Configuration Guide](/docs/best-practices/configuration-advanced) page.
</Note>

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---
title: Executing Tasks
sidebarTitle: "Executing Tasks"
---
Now that your tasks are generated and reviewed you are ready to begin executing.
## Select the Task to Work on: Next Task
Task Master has the "next" command to find the next task to work on. You can access it with the following request:
```
What's the next task I should work on? Please consider dependencies and priorities.
```
Alternatively you can use the CLI to show the next task
```bash
task-master next
```
## Discuss Task
When you know what task to work on next you can then start chatting with the agent to make sure it understands the plan of action.
You can tag relevant files and folders so it knows what context to pull up as it generates its plan. For example:
```
Please review Task 5 and confirm you understand how to execute before beginning. Refer to @models @api and @schema
```
The agent will begin analyzing the task and files and respond with the steps to complete the task.
## Agent Task execution
If you agree with the plan of action, tell the agent to get started.
```
You may begin. I believe in you.
```
## Review and Test
Once the agent is finished with the task you can refer to the task testing strategy to make sure it was completed correctly.
## Update Task Status
If the task was completed correctly you can update the status to done
```
Please mark Task 5 as done
```
The agent will execute
```bash
task-master set-status --id=5 --status=done
```
## Rules and Context
If you ran into problems and had to debug errors you can create new rules as you go. This helps build context on your codebase that helps the creation and execution of future tasks.
## On to the Next Task!
By now you have all you need to get started executing code faster and smarter with Task Master.
If you have any questions please check out [Frequently Asked Questions](/docs/getting-started/faq)

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@@ -0,0 +1,159 @@
---
title: Installation
sidebarTitle: "Installation"
---
Now that you have Node.js and your first API Key, you are ready to begin installing Task Master in one of three ways.
<Note>Cursor Users Can Use the One Click Install Below</Note>
<Accordion title="Quick Install for Cursor 1.0+ (One-Click)">
<a href="cursor://anysphere.cursor-deeplink/mcp/install?name=task-master-ai&config=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%3D">
<img
className="block dark:hidden"
src="https://cursor.com/deeplink/mcp-install-light.png"
alt="Add Task Master MCP server to Cursor"
noZoom
/>
<img
className="hidden dark:block"
src="https://cursor.com/deeplink/mcp-install-dark.png"
alt="Add Task Master MCP server to Cursor"
noZoom
/>
</a>
Or click the copy button (top-right of code block) then paste into your browser:
```text
cursor://anysphere.cursor-deeplink/mcp/install?name=taskmaster-ai&config=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
```
> **Note:** After clicking the link, you'll still need to add your API keys to the configuration. The link installs the MCP server with placeholder keys that you'll need to replace with your actual API keys.
</Accordion>
## Installation Options
<Accordion title="Option 1: MCP (Recommended)">
MCP (Model Control Protocol) lets you run Task Master directly from your editor.
## 1. Add your MCP config at the following path depending on your editor
| Editor | Scope | Linux/macOS Path | Windows Path | Key |
| ------------ | ------- | ------------------------------------- | ------------------------------------------------- | ------------ |
| **Cursor** | Global | `~/.cursor/mcp.json` | `%USERPROFILE%\.cursor\mcp.json` | `mcpServers` |
| | Project | `<project_folder>/.cursor/mcp.json` | `<project_folder>\.cursor\mcp.json` | `mcpServers` |
| **Windsurf** | Global | `~/.codeium/windsurf/mcp_config.json` | `%USERPROFILE%\.codeium\windsurf\mcp_config.json` | `mcpServers` |
| **VS Code** | Project | `<project_folder>/.vscode/mcp.json` | `<project_folder>\.vscode\mcp.json` | `servers` |
## Manual Configuration
### Cursor & Windsurf (`mcpServers`)
```json
{
"mcpServers": {
"taskmaster-ai": {
"command": "npx",
"args": ["-y", "--package=task-master-ai", "task-master-ai"],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
"OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
"GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
"MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
"XAI_API_KEY": "YOUR_XAI_KEY_HERE",
"AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE",
"OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"
}
}
}
}
```
> 🔑 Replace `YOUR_…_KEY_HERE` with your real API keys. You can remove keys you don't use.
> **Note**: If you see `0 tools enabled` in the MCP settings, try removing the `--package=task-master-ai` flag from `args`.
### VS Code (`servers` + `type`)
```json
{
"servers": {
"taskmaster-ai": {
"command": "npx",
"args": ["-y", "--package=task-master-ai", "task-master-ai"],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
"OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
"GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
"MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
"XAI_API_KEY": "YOUR_XAI_KEY_HERE",
"AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE"
},
"type": "stdio"
}
}
}
```
> 🔑 Replace `YOUR_…_KEY_HERE` with your real API keys. You can remove keys you don't use.
#### 2. (Cursor-only) Enable Taskmaster MCP
Open Cursor Settings (Ctrl+Shift+J) ➡ Click on MCP tab on the left ➡ Enable task-master-ai with the toggle
#### 3. (Optional) Configure the models you want to use
In your editor's AI chat pane, say:
```txt
Change the main, research and fallback models to <model_name>, <model_name> and <model_name> respectively.
```
For example, to use Claude Code (no API key required):
```txt
Change the main model to claude-code/sonnet
```
#### 4. Initialize Task Master
In your editor's AI chat pane, say:
```txt
Initialize taskmaster-ai in my project
```
</Accordion>
<Accordion title="Option 2: Using Command Line">
## CLI Installation
```bash
# Install globally
npm install -g task-master-ai
# OR install locally within your project
npm install task-master-ai
```
## Initialize a new project
```bash
# If installed globally
task-master init
# If installed locally
npx task-master init
# Initialize project with specific rules
task-master init --rules cursor,windsurf,vscode
```
This will prompt you for project details and set up a new project with the necessary files and structure.
</Accordion>

View File

@@ -0,0 +1,4 @@
---
title: Moving Forward
sidebarTitle: "Moving Forward"
---

View File

@@ -0,0 +1,81 @@
---
title: PRD Creation and Parsing
sidebarTitle: "PRD Creation and Parsing"
---
# Writing a PRD
A PRD (Product Requirements Document) is the starting point of every task flow in Task Master. It defines what you're building and why. A clear PRD dramatically improves the quality of your tasks, your model outputs, and your final product — so its worth taking the time to get it right.
<Tip>
You dont need to define your whole app up front. You can write a focused PRD just for the next feature or module youre working on.
</Tip>
<Tip>
You can start with an empty project or you can start with a feature PRD on an existing project.
</Tip>
<Tip>
You can add and parse multiple PRDs per project using the --append flag
</Tip>
## What Makes a Good PRD?
- Clear objective — whats the outcome or feature?
- Context — whats already in place or assumed?
- Constraints — what limits or requirements need to be respected?
- Reasoning — why are you building it this way?
The more context you give the model, the better the breakdown and results.
---
## Writing a PRD for Task Master
<Note>An example PRD can be found in .taskmaster/templates/example_prd.txt</Note>
You can co-write your PRD with an LLM model using the following workflow:
1. **Chat about requirements** — explain what you want to build.
2. **Show an example PRD** — share the example PRD so the model understands the expected format. The example uses formatting that work well with Task Master's code. Following the example will yield better results.
3. **Iterate and refine** — work with the model to shape the draft into a clear and well-structured PRD.
This approach works great in Cursor, or anywhere you use a chat-based LLM.
---
## Where to Save Your PRD
Place your PRD file in the `.taskmaster/docs` folder in your project.
- You can have **multiple PRDs** per project.
- Name your PRDs clearly so theyre easy to reference later.
- Examples: `dashboard_redesign.txt`, `user_onboarding.txt`
---
# Parse your PRD into Tasks
This is where the Task Master magic begins.
In Cursor's AI chat, instruct the agent to generate tasks from your PRD:
```
Please use the task-master parse-prd command to generate tasks from my PRD. The PRD is located at .taskmaster/docs/<prd-name>.txt.
```
The agent will execute the following command which you can alternatively paste into the CLI:
```bash
task-master parse-prd .taskmaster/docs/<prd-name>.txt
```
This will:
- Parse your PRD document
- Generate a structured `tasks.json` file with tasks, dependencies, priorities, and test strategies
Now that you have written and parsed a PRD, you are ready to start setting up your tasks.

View File

@@ -0,0 +1,19 @@
---
title: Quick Start
sidebarTitle: "Quick Start"
---
This guide is for new users who want to start using Task Master with minimal setup time.
It covers:
- [Requirements](/docs/getting-started/quick-start/requirements): You will need Node.js and an AI model API Key.
- [Installation](/docs/getting-started/quick-start/installation): How to Install Task Master.
- [Configuration](/docs/getting-started/quick-start/configuration-quick): Setting up your API Key, MCP, and more.
- [PRD](/docs/getting-started/quick-start/prd-quick): Writing and parsing your first PRD.
- [Task Setup](/docs/getting-started/quick-start/tasks-quick): Preparing your tasks for execution.
- [Executing Tasks](/docs/getting-started/quick-start/execute-quick): Using Task Master to execute tasks.
- [Rules & Context](/docs/getting-started/quick-start/rules-quick): Learn how and why to build context in your project over time.
<Tip>
By the end of this guide, you'll have everything you need to begin working productively with Task Master.
</Tip>

View File

@@ -0,0 +1,50 @@
---
title: Requirements
sidebarTitle: "Requirements"
---
Before you can start using TaskMaster AI, you'll need to install Node.js and set up at least one model API Key.
## 1. Node.js
TaskMaster AI is built with Node.js and requires it to run. npm (Node Package Manager) comes bundled with Node.js.
<Accordion title="Install Node.js">
### Installation
**Option 1: Download from official website**
1. Visit [nodejs.org](https://nodejs.org)
2. Download the **LTS (Long Term Support)** version for your operating system
3. Run the installer and follow the setup wizard
**Option 2: Use a package manager**
<CodeGroup>
```bash Windows (Chocolatey)
choco install nodejs
```
```bash Windows (winget)
winget install OpenJS.NodeJS
```
</CodeGroup>
</Accordion>
## 2. Model API Key
Taskmaster utilizes AI across several commands, and those require a separate API key. For the purpose of a Quick Start we recommend setting up an API Key with Anthropic for your main model and Perplexity for your research model (optional but recommended).
<Tip>Task Master shows API costs per command used. Most users load $5-10 on their keys and don't have to top it off for a few months.</Tip>
At least one (1) of the following is required:
1. Anthropic API key (Claude API) - **recommended for Quick Start**
2. OpenAI API key
3. Google Gemini API key
4. Perplexity API key (for research model)
5. xAI API Key (for research or main model)
6. OpenRouter API Key (for research or main model)
7. Claude Code (no API key required - requires Claude Code CLI)

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@@ -0,0 +1,4 @@
---
title: Rules and Context
sidebarTitle: "Rules and Context"
---

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@@ -0,0 +1,69 @@
---
title: Tasks Setup
sidebarTitle: "Tasks Setup"
---
Now that your tasks are generated you can review the plan and prepare for execution.
<Tip>
Not all of the setup steps are required but they are recommended in order to ensure your coding agents work on accurate tasks.
</Tip>
## Expand Tasks
Used to add detail to tasks and create subtasks. We recommend expanding all tasks using the MCP request below:
```
Expand all tasks into subtasks.
```
The agent will execute
```bash
task-master expand --all
```
## List/Show Tasks
Used to view task details. It is important to review the plan and ensure it makes sense in your project. Check for correct folder structures, dependencies, out of scope subtasks, etc.
To see a list of tasks and descriptions use the following command:
```
List all pending tasks so I can review.
```
To see all tasks in the CLI you can use:
```bash
task-master list
```
To see all implementation details of an individual task, including subtasks and testing strategy, you can use Show Task:
```
Show task 2 so I can review.
```
```bash
task-master show --id=<##>
```
## Update Tasks
If the task details need to be edited you can update the task using this request:
```
Update Task 2 to use Postgres instead of MongoDB and remove the sharding subtask
```
Or this CLI command:
```bash
task-master update-task --id=2 --prompt="use Postgres instead of MongoDB and remove the sharding subtask"
```
## Analyze complexity
Task Master can provide a complexity report which can be helpful to read before you begin. If you didn't already expand all your tasks, it could help identify which could be broken down further with subtasks.
```
Can you analyze the complexity of our tasks to help me understand which ones need to be broken down further?
```
You can view the report in a friendly table using:
```
Can you show me the complexity report in a more readable format?
```
<Check>Now you are ready to begin [executing tasks](/docs/getting-started/quick-start/execute-quick)</Check>

View File

@@ -0,0 +1,20 @@
<Tip>
Welcome to v1 of the Task Master Docs. Expect weekly updates as we expand and refine each section.
</Tip>
We've organized the docs into three sections depending on your experience level and goals:
### Getting Started - Jump in to [Quick Start](/docs/getting-started/quick-start)
Designed for first-time users. Get set up, create your first PRD, and run your first task.
### Best Practices
Covers common workflows, strategic usage of commands, model configuration tips, and real-world usage patterns. Recommended for active users.
### Technical Capabilities
A detailed glossary of every root command and available capability — meant for power users and contributors.
---
Thanks for being here early. If you spot something broken or want to contribute, check out the [GitHub repo](https://github.com/eyaltoledano/claude-task-master).
Have questions? Join our [Discord community](https://discord.gg/fWJkU7rf) to connect with other users and get help from the team.

18
apps/docs/licensing.md Normal file
View File

@@ -0,0 +1,18 @@
# Licensing
Task Master is licensed under the MIT License with Commons Clause. This means you can:
## ✅ Allowed:
- Use Task Master for any purpose (personal, commercial, academic)
- Modify the code
- Distribute copies
- Create and sell products built using Task Master
## ❌ Not Allowed:
- Sell Task Master itself
- Offer Task Master as a hosted service
- Create competing products based on Task Master
{/* See the [LICENSE](../LICENSE) file for the complete license text. */}

19
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@@ -0,0 +1,19 @@
<svg width="800" height="240" viewBox="0 0 800 240" xmlns="http://www.w3.org/2000/svg">
<!-- Background -->
<rect width="800" height="240" fill="transparent"/>
<!-- Curly braces -->
<text x="40" y="156" font-size="140" fill="white" font-family="monospace">{</text>
<text x="230" y="156" font-size="140" fill="white" font-family="monospace">}</text>
<!-- Blue form with check -->
<rect x="120" y="50" width="120" height="140" rx="16" fill="#3366CC"/>
<polyline points="150,110 164,128 190,84" fill="none" stroke="white" stroke-width="10"/>
<circle cx="150" cy="144" r="7" fill="white"/>
<rect x="168" y="140" width="48" height="10" fill="white"/>
<circle cx="150" cy="168" r="7" fill="white"/>
<rect x="168" y="164" width="48" height="10" fill="white"/>
<!-- Text -->
<text x="340" y="156" font-family="Arial, sans-serif" font-size="76" font-weight="bold" fill="white">Task Master</text>
</svg>

After

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@@ -0,0 +1,19 @@
<svg width="800" height="240" viewBox="0 0 800 240" xmlns="http://www.w3.org/2000/svg">
<!-- Background -->
<rect width="800" height="240" fill="transparent"/>
<!-- Curly braces -->
<text x="40" y="156" font-size="140" fill="#000000" font-family="monospace">{</text>
<text x="230" y="156" font-size="140" fill="#000000" font-family="monospace">}</text>
<!-- Blue form with check -->
<rect x="120" y="50" width="120" height="140" rx="16" fill="#3366CC"/>
<polyline points="150,110 164,128 190,84" fill="none" stroke="#FFFFFF" stroke-width="10"/>
<circle cx="150" cy="144" r="7" fill="#FFFFFF"/>
<rect x="168" y="140" width="48" height="10" fill="#FFFFFF"/>
<circle cx="150" cy="168" r="7" fill="#FFFFFF"/>
<rect x="168" y="164" width="48" height="10" fill="#FFFFFF"/>
<!-- Text -->
<text x="340" y="156" font-family="Arial, sans-serif" font-size="76" font-weight="bold" fill="#000000">Task Master</text>
</svg>

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14
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@@ -0,0 +1,14 @@
{
"name": "docs",
"version": "0.0.0",
"private": true,
"description": "Task Master documentation powered by Mintlify",
"scripts": {
"dev": "mintlify dev",
"build": "mintlify build",
"preview": "mintlify preview"
},
"devDependencies": {
"mintlify": "^4.0.0"
}
}

10
apps/docs/style.css Normal file
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@@ -0,0 +1,10 @@
/*
* This file is used to override the default logo style of the docs theme.
* It is not used for the actual documentation content.
*/
#navbar img {
height: auto !important; /* Let intrinsic SVG size determine height */
width: 200px !important; /* Control width */
margin-top: 5px !important; /* Add some space above the logo */
}

12
apps/docs/vercel.json Normal file
View File

@@ -0,0 +1,12 @@
{
"rewrites": [
{
"source": "/",
"destination": "https://taskmaster-49ce32d5.mintlify.dev/docs"
},
{
"source": "/:match*",
"destination": "https://taskmaster-49ce32d5.mintlify.dev/docs/:match*"
}
]
}

6
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View File

@@ -0,0 +1,6 @@
---
title: "What's New"
sidebarTitle: "What's New"
---
An easy way to see the latest releases

View File

@@ -9,17 +9,9 @@
"engines": {
"vscode": "^1.93.0"
},
"categories": [
"AI",
"Visualization",
"Education",
"Other"
],
"categories": ["AI", "Visualization", "Education", "Other"],
"main": "./dist/extension.js",
"activationEvents": [
"onStartupFinished",
"workspaceContains:.taskmaster/**"
],
"activationEvents": ["onStartupFinished", "workspaceContains:.taskmaster/**"],
"contributes": {
"viewsContainers": {
"activitybar": [
@@ -147,11 +139,7 @@
},
"taskmaster.ui.theme": {
"type": "string",
"enum": [
"auto",
"light",
"dark"
],
"enum": ["auto", "light", "dark"],
"default": "auto",
"description": "UI theme preference"
},
@@ -212,12 +200,7 @@
},
"taskmaster.debug.logLevel": {
"type": "string",
"enum": [
"error",
"warn",
"info",
"debug"
],
"enum": ["error", "warn", "info", "debug"],
"default": "info",
"description": "Logging level"
},

View File

@@ -53,6 +53,11 @@ export const TaskDetailsView: React.FC<TaskDetailsViewProps> = ({
refreshComplexityAfterAI
} = useTaskDetails({ taskId, sendMessage, tasks: allTasks });
const displayId =
isSubtask && parentTask
? `${parentTask.id}.${currentTask?.id}`
: currentTask?.id;
const handleStatusChange = async (newStatus: TaskMasterTask['status']) => {
if (!currentTask) return;
@@ -60,10 +65,7 @@ export const TaskDetailsView: React.FC<TaskDetailsViewProps> = ({
await sendMessage({
type: 'updateTaskStatus',
data: {
taskId:
isSubtask && parentTask
? `${parentTask.id}.${currentTask.id}`
: currentTask.id,
taskId: displayId,
newStatus: newStatus
}
});
@@ -135,7 +137,7 @@ export const TaskDetailsView: React.FC<TaskDetailsViewProps> = ({
<BreadcrumbSeparator />
<BreadcrumbItem>
<span className="text-vscode-foreground">
{currentTask.title}
#{displayId} {currentTask.title}
</span>
</BreadcrumbItem>
</BreadcrumbList>
@@ -152,9 +154,9 @@ export const TaskDetailsView: React.FC<TaskDetailsViewProps> = ({
</button>
</div>
{/* Task title */}
{/* Task ID and title */}
<h1 className="text-2xl font-bold tracking-tight text-vscode-foreground">
{currentTask.title}
#{displayId} {currentTask.title}
</h1>
{/* Description */}

View File

@@ -1,4 +1,4 @@
# Available Models as of August 8, 2025
# Available Models as of August 11, 2025
## Main Models

BIN
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@@ -9,10 +9,7 @@
"task-master-mcp": "mcp-server/server.js",
"task-master-ai": "mcp-server/server.js"
},
"workspaces": [
"apps/*",
"."
],
"workspaces": ["apps/*", "."],
"scripts": {
"test": "node --experimental-vm-modules node_modules/.bin/jest",
"test:fails": "node --experimental-vm-modules node_modules/.bin/jest --onlyFailures",

View File

@@ -1753,6 +1753,7 @@ function registerCommands(programInstance) {
)
.option('-s, --status <status>', 'Filter by status')
.option('--with-subtasks', 'Show subtasks for each task')
.option('-c, --compact', 'Display tasks in compact one-line format')
.option('--tag <tag>', 'Specify tag context for task operations')
.action(async (options) => {
// Initialize TaskMaster
@@ -1770,18 +1771,21 @@ function registerCommands(programInstance) {
const statusFilter = options.status;
const withSubtasks = options.withSubtasks || false;
const compact = options.compact || false;
const tag = taskMaster.getCurrentTag();
// Show current tag context
displayCurrentTagIndicator(tag);
console.log(
chalk.blue(`Listing tasks from: ${taskMaster.getTasksPath()}`)
);
if (statusFilter) {
console.log(chalk.blue(`Filtering by status: ${statusFilter}`));
}
if (withSubtasks) {
console.log(chalk.blue('Including subtasks in listing'));
if (!compact) {
console.log(
chalk.blue(`Listing tasks from: ${taskMaster.getTasksPath()}`)
);
if (statusFilter) {
console.log(chalk.blue(`Filtering by status: ${statusFilter}`));
}
if (withSubtasks) {
console.log(chalk.blue('Including subtasks in listing'));
}
}
await listTasks(
@@ -1789,7 +1793,7 @@ function registerCommands(programInstance) {
statusFilter,
taskMaster.getComplexityReportPath(),
withSubtasks,
'text',
compact ? 'compact' : 'text',
{ projectRoot: taskMaster.getProjectRoot(), tag }
);
});

View File

@@ -294,6 +294,11 @@ function listTasks(
});
}
// For compact output, return minimal one-line format
if (outputFormat === 'compact') {
return renderCompactOutput(filteredTasks, withSubtasks);
}
// ... existing code for text output ...
// Calculate status breakdowns as percentages of total
@@ -962,4 +967,98 @@ function generateMarkdownOutput(data, filteredTasks, stats) {
return markdown;
}
/**
* Format dependencies for compact output with truncation and coloring
* @param {Array} dependencies - Array of dependency IDs
* @returns {string} - Formatted dependency string with arrow prefix
*/
function formatCompactDependencies(dependencies) {
if (!dependencies || dependencies.length === 0) {
return '';
}
if (dependencies.length > 5) {
const visible = dependencies.slice(0, 5).join(',');
const remaining = dependencies.length - 5;
return `${chalk.cyan(visible)}${chalk.gray('... (+' + remaining + ' more)')}`;
} else {
return `${chalk.cyan(dependencies.join(','))}`;
}
}
/**
* Format a single task in compact one-line format
* @param {Object} task - Task object
* @param {number} maxTitleLength - Maximum title length before truncation
* @returns {string} - Formatted task line
*/
function formatCompactTask(task, maxTitleLength = 50) {
const status = task.status || 'pending';
const priority = task.priority || 'medium';
const title = truncate(task.title || 'Untitled', maxTitleLength);
// Use colored status from existing function
const coloredStatus = getStatusWithColor(status, true);
// Color priority based on level
const priorityColors = {
high: chalk.red,
medium: chalk.yellow,
low: chalk.gray
};
const priorityColor = priorityColors[priority] || chalk.white;
// Format dependencies using shared helper
const depsText = formatCompactDependencies(task.dependencies);
return `${chalk.cyan(task.id)} ${coloredStatus} ${chalk.white(title)} ${priorityColor('(' + priority + ')')}${depsText}`;
}
/**
* Format a subtask in compact format with indentation
* @param {Object} subtask - Subtask object
* @param {string|number} parentId - Parent task ID
* @param {number} maxTitleLength - Maximum title length before truncation
* @returns {string} - Formatted subtask line
*/
function formatCompactSubtask(subtask, parentId, maxTitleLength = 47) {
const status = subtask.status || 'pending';
const title = truncate(subtask.title || 'Untitled', maxTitleLength);
// Use colored status from existing function
const coloredStatus = getStatusWithColor(status, true);
// Format dependencies using shared helper
const depsText = formatCompactDependencies(subtask.dependencies);
return ` ${chalk.cyan(parentId + '.' + subtask.id)} ${coloredStatus} ${chalk.dim(title)}${depsText}`;
}
/**
* Render complete compact output
* @param {Array} filteredTasks - Tasks to display
* @param {boolean} withSubtasks - Whether to include subtasks
* @returns {void} - Outputs directly to console
*/
function renderCompactOutput(filteredTasks, withSubtasks) {
if (filteredTasks.length === 0) {
console.log('No tasks found');
return;
}
const output = [];
filteredTasks.forEach((task) => {
output.push(formatCompactTask(task));
if (withSubtasks && task.subtasks && task.subtasks.length > 0) {
task.subtasks.forEach((subtask) => {
output.push(formatCompactSubtask(subtask, task.id));
});
}
});
console.log(output.join('\n'));
}
export default listTasks;

View File

@@ -1430,6 +1430,20 @@ function ensureTagMetadata(tagObj, opts = {}) {
return tagObj;
}
/**
* Strip ANSI color codes from a string
* Useful for testing, logging to files, or when clean text output is needed
* @param {string} text - The text that may contain ANSI color codes
* @returns {string} - The text with ANSI color codes removed
*/
function stripAnsiCodes(text) {
if (typeof text !== 'string') {
return text;
}
// Remove ANSI escape sequences (color codes, cursor movements, etc.)
return text.replace(/\x1b\[[0-9;]*m/g, '');
}
// Export all utility functions and configuration
export {
LOG_LEVELS,
@@ -1467,5 +1481,6 @@ export {
markMigrationForNotice,
flattenTasksWithSubtasks,
ensureTagMetadata,
stripAnsiCodes,
normalizeTaskIds
};

View File

@@ -22,7 +22,10 @@ jest.unstable_mockModule('../../../../../scripts/modules/utils.js', () => ({
),
addComplexityToTask: jest.fn(),
readComplexityReport: jest.fn(() => null),
getTagAwareFilePath: jest.fn((tag, path) => '/mock/tagged/report.json')
getTagAwareFilePath: jest.fn((tag, path) => '/mock/tagged/report.json'),
stripAnsiCodes: jest.fn((text) =>
text ? text.replace(/\x1b\[[0-9;]*m/g, '') : text
)
}));
jest.unstable_mockModule('../../../../../scripts/modules/ui.js', () => ({
@@ -45,8 +48,13 @@ jest.unstable_mockModule(
);
// Import the mocked modules
const { readJSON, log, readComplexityReport, addComplexityToTask } =
await import('../../../../../scripts/modules/utils.js');
const {
readJSON,
log,
readComplexityReport,
addComplexityToTask,
stripAnsiCodes
} = await import('../../../../../scripts/modules/utils.js');
const { displayTaskList } = await import(
'../../../../../scripts/modules/ui.js'
);
@@ -584,4 +592,140 @@ describe('listTasks', () => {
expect(taskIds).toContain(5); // review task
});
});
describe('Compact output format', () => {
test('should output compact format when outputFormat is compact', async () => {
const consoleSpy = jest.spyOn(console, 'log').mockImplementation();
const tasksPath = 'tasks/tasks.json';
await listTasks(tasksPath, null, null, false, 'compact', {
tag: 'master'
});
expect(consoleSpy).toHaveBeenCalled();
const output = consoleSpy.mock.calls.map((call) => call[0]).join('\n');
// Strip ANSI color codes for testing
const cleanOutput = stripAnsiCodes(output);
// Should contain compact format elements: ID status title (priority) [→ dependencies]
expect(cleanOutput).toContain('1 done Setup Project (high)');
expect(cleanOutput).toContain(
'2 pending Implement Core Features (high) → 1'
);
consoleSpy.mockRestore();
});
test('should format single task compactly', async () => {
const consoleSpy = jest.spyOn(console, 'log').mockImplementation();
const tasksPath = 'tasks/tasks.json';
await listTasks(tasksPath, null, null, false, 'compact', {
tag: 'master'
});
expect(consoleSpy).toHaveBeenCalled();
const output = consoleSpy.mock.calls.map((call) => call[0]).join('\n');
// Should be compact (no verbose headers)
expect(output).not.toContain('Project Dashboard');
expect(output).not.toContain('Progress:');
consoleSpy.mockRestore();
});
test('should handle compact format with subtasks', async () => {
const consoleSpy = jest.spyOn(console, 'log').mockImplementation();
const tasksPath = 'tasks/tasks.json';
await listTasks(
tasksPath,
null,
null,
true, // withSubtasks = true
'compact',
{ tag: 'master' }
);
expect(consoleSpy).toHaveBeenCalled();
const output = consoleSpy.mock.calls.map((call) => call[0]).join('\n');
// Strip ANSI color codes for testing
const cleanOutput = stripAnsiCodes(output);
// Should handle both tasks and subtasks
expect(cleanOutput).toContain('1 done Setup Project (high)');
expect(cleanOutput).toContain('3.1 done Create Header Component');
consoleSpy.mockRestore();
});
test('should handle empty task list in compact format', async () => {
readJSON.mockReturnValue({ tasks: [] });
const consoleSpy = jest.spyOn(console, 'log').mockImplementation();
const tasksPath = 'tasks/tasks.json';
await listTasks(tasksPath, null, null, false, 'compact', {
tag: 'master'
});
expect(consoleSpy).toHaveBeenCalledWith('No tasks found');
consoleSpy.mockRestore();
});
test('should format dependencies correctly with shared helper', async () => {
// Create mock tasks with various dependency scenarios
const tasksWithDeps = {
tasks: [
{
id: 1,
title: 'Task with no dependencies',
status: 'pending',
priority: 'medium',
dependencies: []
},
{
id: 2,
title: 'Task with few dependencies',
status: 'pending',
priority: 'high',
dependencies: [1, 3]
},
{
id: 3,
title: 'Task with many dependencies',
status: 'pending',
priority: 'low',
dependencies: [1, 2, 4, 5, 6, 7, 8, 9]
}
]
};
readJSON.mockReturnValue(tasksWithDeps);
const consoleSpy = jest.spyOn(console, 'log').mockImplementation();
const tasksPath = 'tasks/tasks.json';
await listTasks(tasksPath, null, null, false, 'compact', {
tag: 'master'
});
expect(consoleSpy).toHaveBeenCalled();
const output = consoleSpy.mock.calls.map((call) => call[0]).join('\n');
// Strip ANSI color codes for testing
const cleanOutput = stripAnsiCodes(output);
// Should format tasks correctly with compact output including priority
expect(cleanOutput).toContain(
'1 pending Task with no dependencies (medium)'
);
expect(cleanOutput).toContain('Task with few dependencies');
expect(cleanOutput).toContain('Task with many dependencies');
// Should show dependencies with arrow when they exist
expect(cleanOutput).toMatch(/2.*→.*1,3/);
// Should truncate many dependencies with "+X more" format
expect(cleanOutput).toMatch(/3.*→.*1,2,4,5,6.*\(\+\d+ more\)/);
consoleSpy.mockRestore();
});
});
});

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/**
* Tests for the stripAnsiCodes utility function
*/
import { jest } from '@jest/globals';
// Import the module under test
const { stripAnsiCodes } = await import('../../scripts/modules/utils.js');
describe('stripAnsiCodes', () => {
test('should remove ANSI color codes from text', () => {
const textWithColors = '\x1b[31mRed text\x1b[0m \x1b[32mGreen text\x1b[0m';
const result = stripAnsiCodes(textWithColors);
expect(result).toBe('Red text Green text');
});
test('should handle text without ANSI codes', () => {
const plainText = 'This is plain text';
const result = stripAnsiCodes(plainText);
expect(result).toBe('This is plain text');
});
test('should handle empty string', () => {
const result = stripAnsiCodes('');
expect(result).toBe('');
});
test('should handle complex ANSI sequences', () => {
// Test with various ANSI escape sequences
const complexText =
'\x1b[1;31mBold red\x1b[0m \x1b[4;32mUnderlined green\x1b[0m \x1b[33;46mYellow on cyan\x1b[0m';
const result = stripAnsiCodes(complexText);
expect(result).toBe('Bold red Underlined green Yellow on cyan');
});
test('should handle non-string input gracefully', () => {
expect(stripAnsiCodes(null)).toBe(null);
expect(stripAnsiCodes(undefined)).toBe(undefined);
expect(stripAnsiCodes(123)).toBe(123);
expect(stripAnsiCodes({})).toEqual({});
});
test('should handle real chalk output patterns', () => {
// Test patterns similar to what chalk produces
const chalkLikeText =
'1 \x1b[32m✓ done\x1b[39m Setup Project \x1b[31m(high)\x1b[39m';
const result = stripAnsiCodes(chalkLikeText);
expect(result).toBe('1 ✓ done Setup Project (high)');
});
test('should handle multiline text with ANSI codes', () => {
const multilineText =
'\x1b[31mLine 1\x1b[0m\n\x1b[32mLine 2\x1b[0m\n\x1b[33mLine 3\x1b[0m';
const result = stripAnsiCodes(multilineText);
expect(result).toBe('Line 1\nLine 2\nLine 3');
});
});