Files
Claude-Code-Workflow/.claude/skills/team-issue/role-specs/explorer.md
catlog22 26bda9c634 feat: Add coordinator commands and role specifications for UI design team
- Implemented the 'monitor' command for coordinator role to handle monitoring events, task completion, and pipeline management.
- Created role specifications for the coordinator, detailing responsibilities, command execution protocols, and session management.
- Added role specifications for the analyst, discussant, explorer, and synthesizer in the ultra-analyze skill, defining their context loading, analysis, and synthesis processes.
2026-03-03 23:35:41 +08:00

3.3 KiB

prefix, inner_loop, subagents, message_types
prefix inner_loop subagents message_types
EXPLORE false
cli-explore-agent
success error
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
.msg/meta.json /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")
  1. Parse JSON response for issue metadata (title, context, priority, labels, feedback)
  2. 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: Task({ 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

  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