/install test-research-delete
Research Orchestration
Methodology for systematic codebase research using parallel subagents.
Purpose
This skill runs on the main thread and orchestrates multiple researcher subagents to investigate a codebase in parallel. Produces a research.md file for downstream planning.
Mandate: Document the codebase as it exists today. No improvements, no critique, no suggested changes—pure technical mapping.
Workflow
Step 1: Capture the Research Question
Record the exact research question from $ARGUMENTS.
If no arguments provided, ask the user for their research question before proceeding.
Step 2: Read Referenced Files First
If the user mentions specific files, read them completely before spawning agents. Use Read tool without limit/offset.
Step 3: Decompose into Investigation Areas
Break the research question into 3-5 distinct investigation areas. For each define:
- Search targets - patterns, keywords, file types
- Search locations - directories, file patterns
- Questions to answer - what we need to learn
Step 4: Spawn Parallel Researcher Subagents
Use the Task tool to spawn multiple researcher subagents in parallel. Each investigates one area.
Critical: Send ALL Task tool calls in a SINGLE message to run them in parallel.
Task tool calls (all in one message):
- subagent_type: "researcher"
- prompt: "Investigate [area]. Search targets: [targets]. Search locations: [locations]. Questions: [questions]"
- description: "Research [area name]"
Example parallel spawn:
[Task 1] subagent_type: researcher
prompt: "Investigate authentication middleware and guards.
Search targets: auth, jwt, session, middleware, guard patterns
Search locations: src/, lib/
Questions: Where is auth middleware defined? How are routes protected? What token format is used?"
[Task 2] subagent_type: researcher
prompt: "Investigate user model and storage.
Search targets: User, schema, model, database, repository patterns
Search locations: src/, models/, db/
Questions: Where is the User model? What ORM/database is used? What fields exist?"
[Task 3] subagent_type: researcher
prompt: "Investigate login/logout flows.
Search targets: login, logout, signin, signout, authenticate patterns
Search locations: src/, routes/, controllers/
Questions: What is the login endpoint? How are sessions created/destroyed?"
Step 5: Collect Results
Wait for all researcher subagents to complete. Each returns:
- Key files with file:line references
- How the mechanism works
- Answers to the questions posed
- Notable details and gaps
Step 6: Gather Metadata
Run git commands to collect:
git rev-parse --short HEAD # commit hash
git branch --show-current # branch name
git remote get-url origin # repository URL
Step 7: Synthesize and Write research.md
Combine all subagent findings into a single research.md file in the current working directory.
Required format:
---
date: YYYY-MM-DD
commit: \x3Cshort-hash>
branch: \x3Cbranch-name>
repository: \x3Crepo-name>
topic: \x3Cresearch-topic>
status: complete
---
# Research: \x3CTopic>
## Research Question
\x3COriginal question from user>
## Summary
\x3C2-3 sentence executive summary of findings>
## Detailed Findings
### \x3CArea 1>
\x3CSynthesized findings with specific file:line references>
### \x3CArea 2>
\x3CSynthesized findings with specific file:line references>
...
## Code References
Key files and their purposes:
- `path/to/file.ts:123` - \x3Cdescription>
- `path/to/other.ts:45-67` - \x3Cdescription>
## Architecture Insights
\x3CHow components connect, data flow, key abstractions>
## Open Questions
- \x3CUnresolved question 1>
- \x3CUnresolved question 2>
Step 8: Report Completion
After writing, report:
- Location of research.md
- Summary of key findings (2-3 sentences)
- List of open questions
Output Requirements
- Always produce research.md - even partial findings are valuable
- Use file:line references - enable navigation:
src/api/handler.ts:42 - Document what exists - not what should exist
- Note gaps - unclear items go to Open Questions
Example Decompositions
"How does authentication work?"
Investigation areas (spawn 5 researcher subagents):
- Auth middleware and guards
- Token/session management
- User model and storage
- Login/logout flows
- Permission checking
"Research the database layer"
Investigation areas (spawn 5 researcher subagents):
- ORM/query builder setup
- Schema definitions
- Migration system
- Connection management
- Query patterns
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install test-research-delete - After installation, invoke the skill by name or use
/test-research-delete - Provide required inputs per the skill's parameter spec and get structured output
What is felt cute uploaded skill?
Orchestrate parallel codebase research. Spawns multiple researcher subagents to investigate different areas, then synthesizes findings into research.md. It is an AI Agent Skill for Claude Code / OpenClaw, with 76 downloads so far.
How do I install felt cute uploaded skill?
Run "/install test-research-delete" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is felt cute uploaded skill free?
Yes, felt cute uploaded skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does felt cute uploaded skill support?
felt cute uploaded skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created felt cute uploaded skill?
It is built and maintained by flip-in (@flip-in); the current version is v1.0.0.