research-first
Skill3 starsChanged 53 days agoMITView on GitHub
Look things up before you code. Use for features, bug fixes, or anything that touches more than trivial code. Not for single-file reads, explanations, or answering questions about code.
12 other projects use a version of this.
Adopted by
Most recently taken up by
- mahumadad/quarrytheir own version, first seen Nov 8, 2026
- danielvm-git/bigpowerstheir own version, first seen Nov 6, 2026
- BipBop-Labs/bipbop-skillstheir own version, first seen Nov 1, 2026
- OpenxIntelligence/Coding-Agent-Skillstheir own version, first seen Nov 1, 2026
- ZaxbyHub/opencode-swarmtheir own version, first seen Oct 30, 2026
- troskater/flowdeck-claudetheir own version, first seen Oct 25, 2026
Used with
Projects with it also use council.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MicrosoftSkillcouncil
Convene the persona panel — six orthogonal review lenses — on a target. Cold independent fan-out, debate-to-consensus, synthesized verdict with recorded dissent and a roster manifest.
Also in 3 projects that use this
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 12
- zaxbysauce/opencode-swarm★ 519same name
- ZaxbyHub/opencode-swarm★ 518same name
- danielvm-git/bigpowers★ 288same name
- I-Onlabs/claude-code-skills★ 4same name
- OpenxIntelligence/Coding-Agent-Skills★ 4same name
- BipBop-Labs/bipbop-skills★ 3same name
- CatsMansion/research-first★ 1same name
- evanmcgoogan/skin-in-the-game★ 1same name
- lukasrepublic/agentic-foundry★ 1same name
- mahumadad/quarry★ 1same name
2 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository5 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/harness.mdcCursor rule
- memory-syncSkill
- performanceSkill
- security-guardSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Don't code from what you think the API is.
- Very specific: line 25
Check research/findings/ first.
- Distinctive: line 68
If findings already exist, don't redo them.
- Distinctive: line 69
Read files for facts, don't guess.
- Distinctive: line 70
After you're done, update findings with what actually worked.
“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Research first
Don't code from what you think the API is. Check first.
You need to do this before any edit or write that isn't trivial:
1. Research: research/findings/<topic>.md
- Check
research/findings/first. If someone already researched it, reuse it. - Then grep the codebase. Then web search if you need external docs. Use 2026 when you search so you get current docs.
- Cite what you found. If docs don't exist, write a small repro to verify the hypothesis.
- Save it to
research/findings/<slug>.mdso the next session doesn't redo the work.
Template:
# Findings: <topic>
Date: 2026-09-04
Sources: [url, url]
Existing code: `path:line`: what we found
## Verdict
Recommended approach: ...
Alternatives: ...
Risks: ...2. Plan: research/plans/<task>.md
# Plan: <task>
Research: research/findings/<topic>.md
Approach: ...
Files to change: [list]
Tests: ...
Rollback: ...3. Approval
Show the plan to the user. Don't start coding until they say ok. For tiny single file edits the auto-approve instinct may let you through.
4. Implement and verify
Build the plan, run tests, harness bench --quick, then harness memory sync so the next session remembers what worked.
Notes
- If findings already exist, don't redo them.
- Read files for facts, don't guess. If what you find contradicts what you expected, say so and trust the file.
- After you're done, update findings with what actually worked.
Don't do this
editbeforereadorgrep- guessing API signatures
- skipping the plan because "its small" when you are about to touch 3+ files
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

