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team-research
Explore a codebase area in depth with parallel research agents before planning
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Explore a codebase area in depth with parallel research agents before planning
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Execute PRDs mechanically using task agents or swarm mode
Collaborative planning conversation to produce a Master Plan for a feature
Generate detailed PRDs with hyper-specific tasks from an approved Master Plan
Launch parallel code review agents to review execution results against PRD specifications
Retrospective - review execution, capture learnings, update documentation
| name | team-research |
| description | Explore a codebase area in depth with parallel research agents before planning |
| argument-hint | <area to research, e.g. "authentication system" or "how payments work"> |
| allowed-tools | Read, Glob, Grep, Task, Bash |
| tags | ["research","exploration","team","parallel"] |
Launch parallel research agents to deeply explore a codebase area. Used during /plan when the exploration is too broad or complex for a single conversation thread.
/plan when the feature touches multiple subsystemsBreak the area into 2-4 focused research questions. Each question will be handled by a separate agent.
Example for "payment system":
Present the research questions to the engineer. Ask: "These are the areas I want to explore in parallel. Want to adjust?"
Launch 2-4 agents in parallel using the Task tool with subagent_type: "Explore".
Each agent gets a focused research prompt:
Research the following area of the codebase and provide a thorough report.
Question: <specific research question>
Your report should include:
1. **Files found** - Every relevant file path
2. **Patterns** - How the code is structured today
3. **Key types/interfaces** - Important type definitions
4. **Dependencies** - What this area depends on
5. **Integration points** - Where this area connects to other systems
6. **Potential impact** - Files that would need to change for modifications
Be thorough. List every file. Show key code structures.
Do NOT suggest changes - just report what exists.
After all agents report back:
Share the synthesized research with the engineer. Format:
## Research Summary: <Area>
### Files Inventory
<categorized list of all relevant files>
### Current Architecture
<how the system works today>
### Patterns to Follow
<patterns discovered that the new feature should match>
### Integration Points
<where new code would hook in>
### Risks / Surprises
<anything unexpected discovered>
This becomes input for the ongoing /plan conversation.
Explore agent type for broad searches, general-purpose for targeted reads.Research results feed back into the planning conversation:
/plan payment feature
↓
[discussion reveals complexity]
↓
/team-research payment state, payment API, payment UI
↓
[agents explore in parallel]
↓
[synthesized results shared]
↓
[planning conversation continues with full context]
↓
Master Plan written
The engineer stays in the /plan conversation the whole time. Research is a sub-step, not a separate phase.
/team-research how user profiles work
→ Agent 1: Profile state and selectors
→ Agent 2: Profile UI components
/team-research authentication system
→ Agent 1: Auth state, tokens, session management
→ Agent 2: Auth API calls and error handling
→ Agent 3: Auth UI (login, signup, password reset)
/team-research entire notification system
→ Agent 1: Notification types and state
→ Agent 2: Notification API and push integration
→ Agent 3: Notification UI components
→ Agent 4: Notification settings and preferences
/plan, not as a standalone phase.