Version Packages (#1107)
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"task-master-ai": patch
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Fix expand task generating unrelated generic subtasks
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Fixed an issue where `task-master expand` would generate generic authentication-related subtasks regardless of the parent task context when using complexity reports. The expansion now properly includes the parent task details alongside any expansion guidance.
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"task-master-ai": patch
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Fix scope-up/down prompts to include all required fields for better AI model compatibility
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- Added missing `priority` field to scope adjustment prompts to prevent validation errors with Claude-code and other models
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- Ensures generated JSON includes all fields required by the schema
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"task-master-ai": minor
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Enhanced Claude Code provider with codebase-aware task generation
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- Added automatic codebase analysis for Claude Code provider in `parse-prd`, `expand-task`, and `analyze-complexity` commands
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- When using Claude Code as the AI provider, Task Master now instructs the AI to analyze the project structure, existing implementations, and patterns before generating tasks or subtasks
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- Tasks and subtasks generated by Claude Code are now informed by actual codebase analysis, resulting in more accurate and contextual outputs
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{
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"mode": "exit",
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"tag": "rc",
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"initialVersions": {
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"task-master-ai": "0.23.0",
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"extension": "0.23.0"
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},
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"changesets": [
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"fuzzy-brooms-mate",
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"fuzzy-words-count",
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"honest-steaks-check",
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"tender-trams-refuse",
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"upset-ants-return",
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"vast-sites-leave",
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"vast-weeks-fetch",
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"wide-actors-report"
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]
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}
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"task-master-ai": patch
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Fix MCP scope-up/down tools not finding tasks
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- Fixed task ID parsing in MCP layer - now correctly converts string IDs to numbers
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- scope_up_task and scope_down_task MCP tools now work properly
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"extension": patch
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Fix issues with some users not being able to connect to Taskmaster MCP server while using the extension
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@@ -1,11 +0,0 @@
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"task-master-ai": patch
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Improve AI provider compatibility for JSON generation
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- Fixed schema compatibility issues between Perplexity and OpenAI o3 models
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- Removed nullable/default modifiers from Zod schemas for broader compatibility
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- Added automatic JSON repair for malformed AI responses (handles cases like missing array values)
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- Perplexity now uses JSON mode for more reliable structured output
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- Post-processing handles default values separately from schema validation
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@@ -1,7 +0,0 @@
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"task-master-ai": minor
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Add GPT-5 support with proper parameter handling
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- Added GPT-5 model to supported models configuration with SWE score of 0.749
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@@ -1,59 +0,0 @@
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"task-master-ai": minor
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Add Claude Code subagent support with task-orchestrator, task-executor, and task-checker
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## New Claude Code Agents
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Added specialized agents for Claude Code users to enable parallel task execution, intelligent task orchestration, and quality assurance:
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### task-orchestrator
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Coordinates and manages the execution of Task Master tasks with intelligent dependency analysis:
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- Analyzes task dependencies to identify parallelizable work
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- Deploys multiple task-executor agents for concurrent execution
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- Monitors task completion and updates the dependency graph
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- Automatically identifies and starts newly unblocked tasks
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### task-executor
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Handles the actual implementation of individual tasks:
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- Executes specific tasks identified by the orchestrator
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- Works on concrete implementation rather than planning
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- Updates task status and logs progress
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- Can work in parallel with other executors on independent tasks
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### task-checker
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Verifies that completed tasks meet their specifications:
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- Reviews tasks marked as 'review' status
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- Validates implementation against requirements
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- Runs tests and checks for best practices
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- Ensures quality before marking tasks as 'done'
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## Installation
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When using the Claude profile (`task-master rules add claude`), the agents are automatically installed to `.claude/agents/` directory.
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## Usage Example
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```bash
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# In Claude Code, after initializing a project with tasks:
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# Use task-orchestrator to analyze and coordinate work
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# The orchestrator will:
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# 1. Check task dependencies
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# 2. Identify tasks that can run in parallel
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# 3. Deploy executors for available work
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# 4. Monitor progress and deploy new executors as tasks complete
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# Use task-executor for specific task implementation
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# When the orchestrator identifies task 2.3 needs work:
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# The executor will implement that specific task
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```
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## Benefits
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- **Parallel Execution**: Multiple independent tasks can be worked on simultaneously
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- **Intelligent Scheduling**: Orchestrator understands dependencies and optimizes execution order
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- **Separation of Concerns**: Planning (orchestrator) is separated from execution (executor)
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- **Progress Tracking**: Real-time updates as tasks are completed
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- **Automatic Progression**: As tasks complete, newly unblocked tasks are automatically started
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