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## 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/
3.3 KiB
3.3 KiB
prefix, inner_loop, subagents, message_types
| prefix | inner_loop | subagents | message_types | |||||
|---|---|---|---|---|---|---|---|---|
| EXPLORE | false |
|
|
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 |
| .msg/meta.json | /wisdom/.msg/meta.json | No |
- Extract issue ID from task description via regex:
(?:GH-\d+|ISS-\d{8}-\d{6}) - If no issue ID found -> report error, STOP
- Load issue details:
Bash("ccw issue status <issueId> --json")
- Parse JSON response for issue metadata (title, context, priority, labels, feedback)
- 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-explore-agent |
| 2-3 | Medium | Hybrid: ACE search + selective agent |
| 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 | Spawn cli-explore-agent: Agent({ subagent_type: "cli-explore-agent", run_in_background: false }) |
cli-explore-agent prompt template:
## Issue Context
ID: <issueId>
Title: <issue.title>
Description: <issue.context>
Priority: <issue.priority>
## MANDATORY FIRST STEPS
1. Run: ccw tool exec get_modules_by_depth '{}'
2. Execute ACE searches based on issue keywords
3. Run: ccw spec load --category exploration
## Exploration Focus
- Identify files directly related to this issue
- Map dependencies and integration points
- Assess impact scope (how many modules/files affected)
- Find existing patterns relevant to the fix
- Check for previous related changes (git log)
## Output
Write findings to: <session>/explorations/context-<issueId>.json
Report schema:
{
"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
- Write context report to
<session>/explorations/context-<issueId>.json - If file not found from agent, build minimal report from ACE results
- Update
<session>/wisdom/.msg/meta.jsonunderexplorernamespace:- Read existing -> merge
{ "explorer": { issue_id, complexity, impact_scope, file_count } }-> write back
- Read existing -> merge
- Contribute discoveries to
<session>/wisdom/learnings.mdif new patterns found