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https://github.com/catlog22/Claude-Code-Workflow.git
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1e560ab8e8
- Delete 21 old team skill directories using CSV-wave pipeline pattern (~100+ files) - Delete old team-lifecycle (v3) and team-planex-v2 - Create generic team-worker.toml and team-supervisor.toml (replacing tlv4-specific TOMLs) - Convert 19 team skills from Claude Code format (Agent/SendMessage/TaskCreate) to Codex format (spawn_agent/wait_agent/tasks.json/request_user_input) - Update team-lifecycle-v4 to use generic agent types (team_worker/team_supervisor) - Convert all coordinator role files: dispatch.md, monitor.md, role.md - Convert all worker role files: remove run_in_background, fix Bash syntax - Convert all specs/pipelines.md references - Final state: 20 team skills, 217 .md files, zero Claude Code API residuals Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
68 lines
2.8 KiB
Markdown
68 lines
2.8 KiB
Markdown
---
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role: scout
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prefix: SCOUT
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inner_loop: false
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message_types:
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success: scan_ready
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error: error
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issues: issues_found
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---
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# Multi-Perspective Scout
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Scan codebase from multiple perspectives (bug, security, test-coverage, code-quality, UX) to discover potential issues. Produce structured scan results with severity-ranked findings.
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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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| .msg/meta.json | <session>/wisdom/.msg/meta.json | No |
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1. Extract session path and target scope from task description
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2. Determine scan scope: explicit scope from task or `**/*` default
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3. Get recent changed files: `git diff --name-only HEAD~5 2>/dev/null || echo ""`
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4. Read .msg/meta.json for historical defect patterns (`defect_patterns`)
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5. Select scan perspectives based on task description:
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- Default: `["bug", "security", "test-coverage", "code-quality"]`
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- Add `"ux"` if task mentions UX/UI
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6. Assess complexity to determine scan strategy:
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| Complexity | Condition | Strategy |
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|------------|-----------|----------|
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| Low | < 5 changed files, no specific keywords | ACE search + Grep inline |
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| Medium | 5-15 files or specific perspective requested | CLI fan-out (3 core perspectives) |
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| High | > 15 files or full-project scan | CLI fan-out (all perspectives) |
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## Phase 3: Multi-Perspective Scan
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**Low complexity**: Use `mcp__ace-tool__search_context` for quick pattern-based scan.
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**Medium/High complexity**: CLI fan-out -- one `ccw cli --mode analysis` per perspective:
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For each active perspective, build prompt:
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```
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PURPOSE: Scan code from <perspective> perspective to discover potential issues
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TASK: Analyze code patterns for <perspective> problems, identify anti-patterns, check for common issues
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MODE: analysis
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CONTEXT: @<scan-scope>
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EXPECTED: List of findings with severity (critical/high/medium/low), file:line references, description
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CONSTRAINTS: Focus on actionable findings only
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```
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Execute via: `ccw cli -p "<prompt>" --tool gemini --mode analysis`
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After all perspectives complete:
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- Parse CLI outputs into structured findings
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- Deduplicate by file:line (merge perspectives for same location)
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- Compare against known defect patterns from .msg/meta.json
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- Rank by severity: critical > high > medium > low
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## Phase 4: Result Aggregation
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1. Build `discoveredIssues` array from critical + high findings (with id, severity, perspective, file, line, description)
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2. Write scan results to `<session>/scan/scan-results.json`:
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- scan_date, perspectives scanned, total findings, by_severity counts, findings detail, issues_created count
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3. Update `<session>/wisdom/.msg/meta.json`: merge `discovered_issues` field
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4. Contribute to wisdom/issues.md if new patterns found
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