fix merge conflicts to prep for merge with branch next
- Enhance E2E testing and LLM analysis report and: - Add --analyze-log flag to run_e2e.sh to re-run LLM analysis on existing logs. - Add test:e2e and analyze-log scripts to package.json for easier execution. - Correct display errors and dependency validation output: - Update chalk usage in add-task.js to use bracket notation (chalk[color]) compatible with v5, resolving 'chalk.keyword is not a function' error. - Modify fix-dependencies command output to show red failure box with issue count instead of green success box when validation fails. - Refactor interactive model setup: - Verify inclusion of 'No change' option during interactive model setup flow (task-master models --setup). - Update model definitions: - Add max_tokens field for gpt-4o in supported-models.json. - Remove unused scripts: - Delete prepare-package.js and rule-transformer.test.js. Release candidate
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README.md
14
README.md
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# Task Master [](https://github.com/eyaltoledano/claude-task-master/stargazers)
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[](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml) [](https://badge.fury.io/js/task-master-ai)  [](LICENSE)
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[](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml) [](https://badge.fury.io/js/task-master-ai) [](https://discord.gg/taskmasterai) [](LICENSE)
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### By [@eyaltoledano](https://x.com/eyaltoledano) & [@RalphEcom](https://x.com/RalphEcom)
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@@ -20,20 +20,14 @@ A task management system for AI-driven development with Claude, designed to work
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MCP (Model Control Protocol) provides the easiest way to get started with Task Master directly in your editor.
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1. **Install the package**
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```bash
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npm i -g task-master-ai
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```
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2. **Add the MCP config to your editor** (Cursor recommended, but it works with other text editors):
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1. **Add the MCP config to your editor** (Cursor recommended, but it works with other text editors):
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```json
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{
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"mcpServers": {
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"taskmaster-ai": {
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"command": "npx",
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"args": ["-y", "task-master-mcp"],
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"args": ["-y", "--package=task-master-ai", "task-master-ai"],
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"env": {
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"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
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"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
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@@ -85,7 +79,7 @@ npm install task-master-ai
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task-master init
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# If installed locally
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npx task-master-init
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npx task-master init
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```
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This will prompt you for project details and set up a new project with the necessary files and structure.
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