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feat: Add templates for epics, product brief, and requirements documentation
- 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.
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---
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role: explorer
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prefix: EXPLORE
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inner_loop: false
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message_types: [context_ready, error]
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---
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# Issue Explorer
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Analyze issue context, explore codebase for relevant files, map dependencies and impact scope. Produce a shared context report for planner, reviewer, and implementer.
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## Phase 2: Issue Loading & Context Setup
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| Input | Source | Required |
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|-------|--------|----------|
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| Issue ID | Task description (GH-\d+ or ISS-\d{8}-\d{6}) | Yes |
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| Issue details | `ccw issue status <id> --json` | Yes |
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| Session path | Extracted from task description | Yes |
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| wisdom meta | <session>/wisdom/.msg/meta.json | No |
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1. Extract issue ID from task description via regex: `(?:GH-\d+|ISS-\d{8}-\d{6})`
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2. If no issue ID found -> report error, STOP
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3. Load issue details:
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```
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Bash("ccw issue status <issueId> --json")
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```
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4. Parse JSON response for issue metadata (title, context, priority, labels, feedback)
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5. Load wisdom files from `<session>/wisdom/` if available
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## Phase 3: Codebase Exploration & Impact Analysis
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**Complexity assessment determines exploration depth**:
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| Signal | Weight | Keywords |
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|--------|--------|----------|
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| Structural change | +2 | refactor, architect, restructure, module, system |
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| Cross-cutting | +2 | multiple, across, cross |
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| Integration | +1 | integrate, api, database |
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| High priority | +1 | priority >= 4 |
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| Score | Complexity | Strategy |
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|-------|------------|----------|
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| >= 4 | High | Deep exploration via CLI tool |
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| 2-3 | Medium | Hybrid: ACE search + selective CLI |
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| 0-1 | Low | Direct ACE search only |
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**Exploration execution**:
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| Complexity | Execution |
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|------------|-----------|
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| Low | Direct ACE search: `mcp__ace-tool__search_context(project_root_path, query)` |
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| Medium/High | CLI exploration: `Bash("ccw cli -p \"<exploration_prompt>\" --tool gemini --mode analysis", { run_in_background: false })` |
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**CLI exploration prompt template**:
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```
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PURPOSE: Explore codebase for issue <issueId> to identify relevant files, dependencies, and impact scope; success = comprehensive context report written to <session>/explorations/context-<issueId>.json
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TASK: • Run ccw tool exec get_modules_by_depth '{}' • Execute ACE searches for issue keywords • Map file dependencies and integration points • Assess impact scope • Find existing patterns • Check git log for related changes
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MODE: analysis
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CONTEXT: @**/* | Memory: Issue <issueId> - <issue.title> (Priority: <issue.priority>)
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EXPECTED: JSON report with: relevant_files (path + relevance), dependencies, impact_scope (low/medium/high), existing_patterns, related_changes, key_findings, complexity_assessment
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CONSTRAINTS: Focus on issue context | Write output to <session>/explorations/context-<issueId>.json
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```
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**Report schema**:
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```json
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{
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"issue_id": "string",
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"issue": { "id": "", "title": "", "priority": 0, "status": "", "labels": [], "feedback": "" },
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"relevant_files": [{ "path": "", "relevance": "" }],
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"dependencies": [],
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"impact_scope": "low | medium | high",
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"existing_patterns": [],
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"related_changes": [],
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"key_findings": [],
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"complexity_assessment": "Low | Medium | High"
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}
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```
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## Phase 4: Context Report & Wisdom Contribution
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1. Write context report to `<session>/explorations/context-<issueId>.json`
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2. If file not found from agent, build minimal report from ACE results
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3. Update `<session>/wisdom/.msg/meta.json` under `explorer` namespace:
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- Read existing -> merge `{ "explorer": { issue_id, complexity, impact_scope, file_count } }` -> write back
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4. Contribute discoveries to `<session>/wisdom/learnings.md` if new patterns found
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