mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-03-06 16:31:12 +08:00
## Task -> Agent Replacement
- Replace all Task({}) calls with Agent({}) across .claude/ directory
- Update allowed-tools declarations from Task to Agent
- Update documentation references from "Task tool" to "Agent tool"
## Schema Compliance Fixes
### Agent Schema
- Add missing required `description` parameter in 6 files
- Add missing `run_in_background: false` for subagent calls
- Add missing `subagent_type` parameter
### AskUserQuestion Schema
- Fix issue-manage/SKILL.md: reduce options from 5 to 4 (max allowed)
### SendMessage Schema
- Fix team-worker.md: use correct params (type, content, summary)
- Remove invalid `team_name` parameter
### TaskCreate/TaskUpdate Schema
- Remove invalid `blockedBy`, `owner`, `status` from TaskCreate calls
- Use separate TaskUpdate calls for dependencies and ownership
- Fix TaskUpdate syntax to use object parameter
### TeamDelete Schema
- Remove parameters from TeamDelete() calls (should be no params)
### TaskOutput Schema
- Fix Python-style syntax to JavaScript object syntax
## Files Changed
- 146 files updated across commands/, skills/, skills_lib/, agents/
106 lines
3.3 KiB
Markdown
106 lines
3.3 KiB
Markdown
---
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prefix: EXPLORE
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inner_loop: false
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subagents: [cli-explore-agent]
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message_types:
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success: context_ready
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error: 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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| .msg/meta.json | <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-explore-agent |
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| 2-3 | Medium | Hybrid: ACE search + selective agent |
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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 | Spawn cli-explore-agent: `Agent({ subagent_type: "cli-explore-agent", run_in_background: false })` |
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**cli-explore-agent prompt template**:
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```
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## Issue Context
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ID: <issueId>
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Title: <issue.title>
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Description: <issue.context>
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Priority: <issue.priority>
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## MANDATORY FIRST STEPS
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1. Run: ccw tool exec get_modules_by_depth '{}'
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2. Execute ACE searches based on issue keywords
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3. Run: ccw spec load --category exploration
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## Exploration Focus
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- Identify files directly related to this issue
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- Map dependencies and integration points
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- Assess impact scope (how many modules/files affected)
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- Find existing patterns relevant to the fix
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- Check for previous related changes (git log)
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## Output
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Write findings 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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