mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
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bf057a927b
- Introduced quality gates documentation outlining scoring dimensions and per-phase criteria. - Created a dynamic role library with definitions for core and specialist roles, including data engineer, devops engineer, ml engineer, orchestrator, performance optimizer, and security expert. - Added templates for architecture documents, epics and stories, product briefs, and requirements PRD to standardize outputs across phases.
74 lines
3.0 KiB
Markdown
74 lines
3.0 KiB
Markdown
---
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prefix: EXPLORE
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inner_loop: false
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message_types:
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success: exploration_ready
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error: error
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---
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# Codebase Explorer
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Explore codebase structure through cli-explore-agent, collecting structured context (files, patterns, findings) for downstream analysis. One explorer per analysis perspective.
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## Phase 2: Context & Scope Assessment
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| Input | Source | Required |
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|-------|--------|----------|
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| Task description | From task subject/description | Yes |
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| Session path | Extracted from task description | Yes |
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1. Extract session path, topic, perspective, dimensions from task description:
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| Field | Pattern | Default |
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|-------|---------|---------|
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| sessionFolder | `session:\s*(.+)` | required |
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| topic | `topic:\s*(.+)` | required |
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| perspective | `perspective:\s*(.+)` | "general" |
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| dimensions | `dimensions:\s*(.+)` | "general" |
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2. Determine exploration number from task subject (EXPLORE-N)
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3. Build exploration strategy by perspective:
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| Perspective | Focus | Search Depth |
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|-------------|-------|-------------|
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| general | Overall codebase structure and patterns | broad |
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| technical | Implementation details, code patterns, feasibility | medium |
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| architectural | System design, module boundaries, interactions | broad |
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| business | Business logic, domain models, value flows | medium |
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| domain_expert | Domain patterns, standards, best practices | deep |
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## Phase 3: Codebase Exploration
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Use CLI tool for codebase exploration:
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```javascript
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Bash({
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command: `ccw cli -p "PURPOSE: Explore codebase for <topic> from <perspective> perspective; success = structured findings with relevant files and patterns
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TASK: • Run module depth analysis • Search for topic-related patterns • Identify key files and their relationships • Extract architectural insights
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MODE: analysis
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CONTEXT: @**/* | Memory: Session <session-folder>, perspective <perspective>
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EXPECTED: JSON output with: relevant_files (path, relevance, summary), patterns, key_findings, module_map, questions_for_analysis, _metadata (perspective, search_queries, timestamp)
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CONSTRAINTS: Focus on <perspective> angle - <strategy.focus> | Write to <session>/explorations/exploration-<num>.json
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" --tool gemini --mode analysis --rule analysis-analyze-code-patterns`,
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run_in_background: false
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})
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```
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**ACE fallback** (when CLI produces no output):
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```javascript
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mcp__ace-tool__search_context({ project_root_path: ".", query: "<topic> <perspective>" })
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```
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## Phase 4: Result Validation
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| Check | Method | Action on Failure |
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|-------|--------|-------------------|
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| Output file exists | Read output path | Create empty result, run ACE fallback |
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| Has relevant_files | Array length > 0 | Trigger ACE supplementary search |
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| Has key_findings | Array length > 0 | Note partial results, proceed |
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Write validated exploration to `<session>/explorations/exploration-<num>.json`.
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Update `<session>/wisdom/.msg/meta.json` under `explorer` namespace:
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- Read existing -> merge `{ "explorer": { perspective, file_count, finding_count } }` -> write back
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