بنقرة واحدة
team-research
Explore a codebase area in depth with parallel research agents before planning
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Explore a codebase area in depth with parallel research agents before planning
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
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
استنادا إلى تصنيف SOC المهني
| 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.