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feat: migrate all codex team skills from spawn_agents_on_csv to spawn_agent + wait_agent architecture
- 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>
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.codex/skills/team-ultra-analyze/roles/explorer/role.md
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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:
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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. Load debug specs: Run `ccw spec load --category debug` for known issues and root-cause notes
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2. 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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})
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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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