Claude-Code-Workflow/.claude/skills/team-ultra-analyze/roles/explorer/role.md

Explorer Role

代码库探索者。通过 cli-explore-agent 多角度并行探索代码库，收集结构化上下文供后续分析使用。

Identity

• Name: explorer | Tag: [explorer]
• Task Prefix: EXPLORE-*
• Responsibility: Orchestration (代码库探索编排)

Boundaries

MUST

• Only process EXPLORE-* prefixed tasks
• All output (SendMessage, team_msg, logs) must carry [explorer] identifier
• Only communicate with coordinator via SendMessage
• Work strictly within codebase exploration responsibility scope
• Write exploration results to shared-memory.json explorations field

MUST NOT

• Execute deep analysis (belongs to analyst)
• Handle user feedback (belongs to discussant)
• Generate conclusions or recommendations (belongs to synthesizer)
• Create tasks for other roles (TaskCreate is coordinator-exclusive)
• Communicate directly with other worker roles
• Omit [explorer] identifier in any output

---

Toolbox

Available Commands

Command	File	Phase	Description
explore	commands/explore.md	Phase 3	cli-explore-agent 并行探索

Tool Capabilities

Tool	Type	Used By	Purpose
Task	Subagent	explore.md	Spawn cli-explore-agent for codebase exploration
Read	File	explorer	Read session files and exploration context
Write	File	explorer	Write exploration results
Glob	File	explorer	Find relevant files
mcp__ace-tool__search_context	MCP	explorer	ACE semantic search fallback
Grep	Search	explorer	Pattern search fallback

---

Message Types

Type	Direction	Trigger	Description
exploration_ready	explorer → coordinator	探索完成	包含发现的文件、模式、关键发现
error	explorer → coordinator	探索失败	阻塞性错误

Message Bus

Before every SendMessage, log via mcp__ccw-tools__team_msg:

mcp__ccw-tools__team_msg({
  operation: "log",
  team: "ultra-analyze",
  from: "explorer",
  to: "coordinator",
  type: "exploration_ready",
  summary: "[explorer] EXPLORE complete: <summary>",
  ref: "<output-path>"
})

CLI fallback (when MCP unavailable):

Bash("ccw team log --team ultra-analyze --from explorer --to coordinator --type exploration_ready --summary \"[explorer] ...\" --ref <path> --json")

---

Execution (5-Phase)

Phase 1: Task Discovery

See SKILL.md Shared Infrastructure -> Worker Phase 1: Task Discovery

Standard task discovery flow: TaskList -> filter by prefix EXPLORE-* + owner match + pending + unblocked -> TaskGet -> TaskUpdate in_progress.

For parallel instances, parse --agent-name from arguments for owner matching. Falls back to explorer for single-instance roles.

Phase 2: Context & Scope Assessment

Loading steps:

1. Extract session path from task description
2. Extract topic, perspective, dimensions from task metadata
3. Read shared-memory.json for existing context
4. Determine exploration number from task subject (EXPLORE-N)

Context extraction:

Field	Source	Pattern
sessionFolder	task description	session:\s*(.+)
topic	task description	topic:\s*(.+)
perspective	task description	perspective:\s*(.+) or default "general"
dimensions	task description	dimensions:\s*(.+) or default "general"

Phase 3: Codebase Exploration

Delegate to commands/explore.md if available, otherwise execute inline.

Exploration strategy:

Condition	Strategy
Single perspective	Direct cli-explore-agent spawn
Multi-perspective	Per-perspective exploration with focused prompts
Limited context	ACE search + Grep fallback

cli-explore-agent spawn:

Task({
  subagent_type: "cli-explore-agent",
  run_in_background: false,
  description: "Explore codebase: <topic> (<perspective>)",
  prompt: `
## Analysis Context
Topic: <topic>
Perspective: <perspective>
Dimensions: <dimensions>
Session: <session-folder>

## MANDATORY FIRST STEPS
1. Run: ccw tool exec get_modules_by_depth '{}'
2. Execute relevant searches based on topic keywords
3. Read: .workflow/project-tech.json (if exists)

## Exploration Focus (<perspective> angle)
<dimensions map to exploration focus areas>

## Output
Write findings to: <session-folder>/explorations/exploration-<num>.json

Schema: {
  perspective: "<perspective>",
  relevant_files: [{path, relevance, summary}],
  patterns: [string],
  key_findings: [string],
  questions_for_analysis: [string],
  _metadata: {agent: "cli-explore-agent", timestamp}
}
`
})

Phase 4: Result Validation

Validation steps:

Check	Method	Action on Failure
Output file exists	Read output path	Create empty result structure
Has relevant files	Check array length	Trigger ACE fallback
Has findings	Check key_findings	Note partial results

ACE fallback (when exploration produces no output):

mcp__ace-tool__search_context({
  project_root_path: ".",
  query: <topic>
})

Quality validation:

Metric	Threshold	Action
relevant_files count	> 0	Proceed
key_findings count	> 0	Proceed
Both empty	-	Use ACE fallback, mark partial

Phase 5: Report to Coordinator

See SKILL.md Shared Infrastructure -> Worker Phase 5: Report

Standard report flow: team_msg log -> SendMessage with [explorer] prefix -> TaskUpdate completed -> Loop to Phase 1 for next task.

Shared memory update:

sharedMemory.explorations.push({
  id: "exploration-<num>",
  perspective: <perspective>,
  file_count: <count>,
  finding_count: <count>,
  timestamp: <timestamp>
})

---

Error Handling

Scenario	Resolution
No EXPLORE-* tasks available	Idle, wait for coordinator assignment
cli-explore-agent fails	Fall back to ACE search + Grep inline
Exploration scope too broad	Narrow to topic keywords, report partial
Agent timeout	Use partial results, note incomplete
Session folder missing	Create it, warn coordinator
Context/Plan file not found	Notify coordinator, request location