research-first
Skill517 starsChanged 3 days agoMITView on GitHub
Codex adapter for research-before-planning work. Use when a task depends on current external facts, unfamiliar libraries, APIs, standards, security advisories, release notes, product behavior, or repo behavior that must be verified before planning or implementation.
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
Read .claude/skills/research-first/SKILL.md for the source protocol.
- Distinctive: line 17
Do not plan implementation until the relevant unknowns are resolved or explicitly marked as risks.
- Very specific: line 19
When research affects OpenAI product usage, use the openai-docs skill and official sources only.
“Common” is measured: kept by at least 6 in 10 of the 9 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
Read .claude/skills/research-first/SKILL.md for the source protocol.
Codex-specific execution notes:
- For current or unstable external facts, browse or use primary sources and cite URLs.
- For repo facts, prefer
rg, file reads, tests, and local source over memory. - Separate verified facts from assumptions.
- Do not plan implementation until the relevant unknowns are resolved or explicitly marked as risks.
When research affects OpenAI product usage, use the openai-docs skill and official sources only.
Other versions11 projects use a version of this.
Word for word · 1
- ZaxbyHub/opencode-swarm★ 517100% same
Edited · 0
None found.
Wrote their own version · 10
- danielvm-git/bigpowers★ 286same name
- I-Onlabs/claude-code-skills★ 4same name
- OpenxIntelligence/Coding-Agent-Skills★ 4same name
- BipBop-Labs/bipbop-skills★ 3same name
- TheElephantCoder/agent-harness★ 3same name
- CatsMansion/research-first★ 1same name
- evanmcgoogan/skin-in-the-game★ 1same name
- lukasrepublic/agentic-foundry★ 1same name
- MatanelGordon/skills★ 0same name
- troskater/flowdeck-claude★ 0same name
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 repository66 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- ci-fix-monitorSkill
- codebase-review-swarmSkill
- commit-prSkill
- contributingSkill
- engineering-conventionsSkill
- fork-pr-operationsSkill
- guardrail-patternsSkill
- issue-tracerSkill
- mock-to-internals-migrationSkill
- pr-review-fixSkill
- qa-sweepSkill
- running-testsSkill
- subprocess-safetySkill
- swarm-ci-monitorSkill
- swarm-implementSkill
- swarm-pr-feedbackSkill
- swarm-pr-reviewSkill
- swarm-pr-subscribeSkill
- swarmSkill
- tech-debt-ci-reviewSkill
- test-file-splitSkill
- unswarmSkill
- writing-testsSkill
- brainstormSkill
- clarifySkill
- clarify-specSkill
- codebase-review-swarmSkill
- commit-prSkill
- consultSkill
- councilSkill
- critic-gateSkill
- deep-diveSkill
- deep-researchSkill
- design-docsSkill
- discoverSkill
- durable-session-stateSkill
- editing-skillsSkill
- engineering-conventionsSkill
- executeSkill
- fork-pr-operationsSkill
- graphifySkill
- issue-ingestSkill
- issue-tracerSkill
- orchestrating-subagentsSkill
- phase-wrapSkill
- pre-phase-briefingSkill
- qa-sweepSkill
- research-firstSkill
- rust-crate-ciSkill
- specifySkill
- swarm-ci-monitorSkill
- swarm-implementSkill
- swarm-planSkill
- swarm-pr-feedbackSkill
- swarm-pr-reviewSkill
- swarm-pr-subscribeSkill
- swarm-resumeSkill
- The first 60 shown.
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.

