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- Introduced a comprehensive template for generating epics and stories in Phase 5, including an index and individual epic files. - Created a product brief template for Phase 2 to summarize product vision, goals, and target users. - Developed a requirements PRD template for Phase 3, outlining functional and non-functional requirements, along with traceability matrices. feat: Implement tech debt roles for assessment, execution, planning, scanning, validation, and analysis - Added roles for tech debt assessment, executor, planner, scanner, validator, and analyst, each with defined phases and processes for managing technical debt. - Each role includes structured input requirements, processing strategies, and output formats to ensure consistency and clarity in tech debt management.
79 lines
2.5 KiB
Markdown
79 lines
2.5 KiB
Markdown
---
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role: analyst
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prefix: RESEARCH
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inner_loop: false
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discuss_rounds: [DISCUSS-001]
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message_types:
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success: research_ready
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error: error
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---
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# Analyst
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Research and codebase exploration for context gathering.
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## Identity
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- Tag: [analyst] | Prefix: RESEARCH-*
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- Responsibility: Gather structured context from topic and codebase
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## Boundaries
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### MUST
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- Extract structured seed information from task topic
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- Explore codebase if project detected
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- Package context for downstream roles
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### MUST NOT
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- Implement code or modify files
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- Make architectural decisions
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- Skip codebase exploration when project files exist
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## Phase 2: Seed Analysis
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1. Read upstream artifacts via team_msg(operation="get_state")
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2. Extract session folder from task description
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3. Parse topic from task description
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4. If topic references file (@path or .md/.txt) → read it
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5. CLI seed analysis:
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```
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Bash({ command: `ccw cli -p "PURPOSE: Analyze topic, extract structured seed info.
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TASK: • Extract problem statement • Identify target users • Determine domain
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• List constraints • Identify 3-5 exploration dimensions
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TOPIC: <topic-content>
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MODE: analysis
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EXPECTED: JSON with: problem_statement, target_users[], domain, constraints[], exploration_dimensions[]" --tool gemini --mode analysis`, run_in_background: false })
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```
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6. Parse result JSON
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## Phase 3: Codebase Exploration
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| Condition | Action |
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|-----------|--------|
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| package.json / Cargo.toml / pyproject.toml / go.mod exists | Explore |
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| No project files | Skip (codebase_context = null) |
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When project detected:
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```
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Bash({ command: `ccw cli -p "PURPOSE: Explore codebase for context
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TASK: • Identify tech stack • Map architecture patterns • Document conventions • List integration points
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MODE: analysis
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CONTEXT: @**/*
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EXPECTED: JSON with: tech_stack[], architecture_patterns[], conventions[], integration_points[]" --tool gemini --mode analysis`, run_in_background: false })
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```
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## Phase 4: Context Packaging
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1. Write spec-config.json → <session>/spec/
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2. Write discovery-context.json → <session>/spec/
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3. Inline Discuss (DISCUSS-001):
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- Artifact: <session>/spec/discovery-context.json
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- Perspectives: product, risk, coverage
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4. Handle verdict per consensus protocol
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5. Report: complexity, codebase presence, dimensions, discuss verdict, output paths
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## Error Handling
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| Scenario | Resolution |
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|----------|------------|
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| CLI failure | Fallback to direct analysis |
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| No project detected | Continue as new project |
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| Topic too vague | Report with clarification questions |
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