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>

.codex/skills/team-issue/roles/explorer/role.md

@@ -0,0 +1,94 @@
+---
+role: explorer
+prefix: EXPLORE
+inner_loop: false
+message_types: [context_ready, error]
+---
+
+# Issue Explorer
+
+Analyze issue context, explore codebase for relevant files, map dependencies and impact scope. Produce a shared context report for planner, reviewer, and implementer.
+
+## Phase 2: Issue Loading & Context Setup
+
+| Input | Source | Required |
+|-------|--------|----------|
+| Issue ID | Task description (GH-\d+ or ISS-\d{8}-\d{6}) | Yes |
+| Issue details | `ccw issue status <id> --json` | Yes |
+| Session path | Extracted from task description | Yes |
+| wisdom meta | <session>/wisdom/.msg/meta.json | No |
+
+1. Extract issue ID from task description via regex: `(?:GH-\d+|ISS-\d{8}-\d{6})`
+2. If no issue ID found -> report error, STOP
+3. Load issue details:
+
+```
+Bash("ccw issue status <issueId> --json")
+```
+
+4. Parse JSON response for issue metadata (title, context, priority, labels, feedback)
+5. Load wisdom files from `<session>/wisdom/` if available
+
+## Phase 3: Codebase Exploration & Impact Analysis
+
+**Complexity assessment determines exploration depth**:
+
+| Signal | Weight | Keywords |
+|--------|--------|----------|
+| Structural change | +2 | refactor, architect, restructure, module, system |
+| Cross-cutting | +2 | multiple, across, cross |
+| Integration | +1 | integrate, api, database |
+| High priority | +1 | priority >= 4 |
+
+| Score | Complexity | Strategy |
+|-------|------------|----------|
+| >= 4 | High | Deep exploration via CLI tool |
+| 2-3 | Medium | Hybrid: ACE search + selective CLI |
+| 0-1 | Low | Direct ACE search only |
+
+**Exploration execution**:
+
+| Complexity | Execution |
+|------------|-----------|
+| Low | Direct ACE search: `mcp__ace-tool__search_context(project_root_path, query)` |
+| Medium/High | CLI exploration: `Bash("ccw cli -p \"<exploration_prompt>\" --tool gemini --mode analysis")` |
+
+**CLI exploration prompt template**:
+
+```
+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
+
+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
+
+MODE: analysis
+
+CONTEXT: @**/* | Memory: Issue <issueId> - <issue.title> (Priority: <issue.priority>)
+
+EXPECTED: JSON report with: relevant_files (path + relevance), dependencies, impact_scope (low/medium/high), existing_patterns, related_changes, key_findings, complexity_assessment
+
+CONSTRAINTS: Focus on issue context | Write output to <session>/explorations/context-<issueId>.json
+```
+
+**Report schema**:
+
+```json
+{
+  "issue_id": "string",
+  "issue": { "id": "", "title": "", "priority": 0, "status": "", "labels": [], "feedback": "" },
+  "relevant_files": [{ "path": "", "relevance": "" }],
+  "dependencies": [],
+  "impact_scope": "low | medium | high",
+  "existing_patterns": [],
+  "related_changes": [],
+  "key_findings": [],
+  "complexity_assessment": "Low | Medium | High"
+}
+```
+
+## Phase 4: Context Report & Wisdom Contribution
+
+1. Write context report to `<session>/explorations/context-<issueId>.json`
+2. If file not found from agent, build minimal report from ACE results
+3. Update `<session>/wisdom/.msg/meta.json` under `explorer` namespace:
+   - Read existing -> merge `{ "explorer": { issue_id, complexity, impact_scope, file_count } }` -> write back
+4. Contribute discoveries to `<session>/wisdom/learnings.md` if new patterns found