cc26c36366
- Enhanced fuzzy search to include subtasks in discovery - Added interactive follow-up question functionality using inquirer - Improved context discovery by including both tasks and subtasks - Follow-up option for research with default to 'n' for quick workflow
45 lines
2.6 KiB
Markdown
45 lines
2.6 KiB
Markdown
---
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'task-master-ai': minor
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---
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Add comprehensive AI-powered research command with intelligent context gathering and interactive follow-ups.
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The new `research` command provides AI-powered research capabilities that automatically gather relevant project context to answer your questions. The command intelligently selects context from multiple sources and supports interactive follow-up questions in CLI mode.
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**Key Features:**
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- **Intelligent Task Discovery**: Automatically finds relevant tasks and subtasks using fuzzy search based on your query keywords, supplementing any explicitly provided task IDs
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- **Multi-Source Context**: Gathers context from tasks, files, project structure, and custom text to provide comprehensive answers
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- **Interactive Follow-ups**: CLI users can ask follow-up questions that build on the conversation history while allowing fresh context discovery for each question
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- **Flexible Detail Levels**: Choose from low (concise), medium (balanced), or high (comprehensive) response detail levels
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- **Token Transparency**: Displays detailed token breakdown showing context size, sources, and estimated costs
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- **Enhanced Display**: Syntax-highlighted code blocks and structured output with clear visual separation
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**Usage Examples:**
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```bash
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# Basic research with auto-discovered context
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task-master research "How should I implement user authentication?"
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# Research with specific task context
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task-master research "What's the best approach for this?" --id=15,23.2
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# Research with file context and project tree
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task-master research "How does the current auth system work?" --files=src/auth.js,config/auth.json --tree
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# Research with custom context and low detail
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task-master research "Quick implementation steps?" --context="Using JWT tokens" --detail=low
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```
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**Context Sources:**
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- **Tasks**: Automatically discovers relevant tasks/subtasks via fuzzy search, plus any explicitly specified via `--id`
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- **Files**: Include specific files via `--files` for code-aware responses
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- **Project Tree**: Add `--tree` to include project structure overview
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- **Custom Context**: Provide additional context via `--context` for domain-specific information
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**Interactive Features (CLI only):**
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- Follow-up questions that maintain conversation history
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- Fresh fuzzy search for each follow-up to discover newly relevant tasks
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- Cumulative context building across the conversation
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- Clean visual separation between exchanges
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The research command integrates with the existing AI service layer and supports all configured AI providers. MCP integration provides the same functionality for programmatic access without interactive features.
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