research
Skill44 starsChanged 7 days agoMITView on GitHub
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 164 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Write the findings to a single Markdown file, citing each claim's source.
- Distinctive: line 23
Only propose the change if it's a meaningful improvement.
“Common” is measured: kept by at least 6 in 10 of the 164 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
Spin up a background agent to do the research, so you keep working while it reads.
Its job:
- Investigate the question against primary sources (official docs, source code, specs, first-party APIs), not a secondary write-up of them. Follow every claim back to the source that owns it.
- Write the findings to a single Markdown file, citing each claim's source.
- Save it where the repo already keeps such notes; match the existing convention, and if there is none, put it somewhere sensible and say where.
<!-- self-improvement-loop -->Self-improvement
At the end of every run of this skill, before ending:
- Did any step fail or need a workaround?
- Did the user correct or reject anything meaningful?
- Did you discover something a future run might need?
Only propose the change if it's a meaningful improvement. Ask the user before applying.
Other versions187 projects use a version of this.
Word for word · 0
None found.
Edited · 51
- mattpocock/skills★ 309k92% same
- QuivrHQ/quivr★ 40k100% same
- ArcReel/ArcReel★ 6k100% same
- withcoral/coral★ 4.9k100% same
- bestofjs/bestofjs★ 3.1k100% same
- CelestoAI/SmolVM★ 1.1k92% same
- moeru-ai/xsai★ 665100% same
- aws/graph-explorer★ 489100% same
- biersoeckli/QuickStack★ 364100% same
- itsmylife44/cliproxyapi-dashboard★ 281100% same
41 more not listed
Wrote their own version · 136
- Yeachan-Heo/oh-my-claude-sisyphus★ 40ksame name
- Yeachan-Heo/oh-my-claudecode★ 40ksame name
- udecode/plate★ 17ksame name
- openai/plugins★ 7.4ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- docker/docs★ 4.7ksame name
- thinking-machines-lab/tinker-cookbook★ 4.2ksame name
- parcadei/Continuous-Claude★ 3.9ksame name
- parcadei/Continuous-Claude-v2★ 3.9ksame name
- parcadei/Continuous-Claude-v3★ 3.9ksame name
126 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.
Used alongsideProjects with it also use daily-arxiv, exp-eval and 10 more.
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.
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Also in 5 projects that use this
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Also in 5 projects that use this
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Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.
Also in 5 projects that use this
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Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.
Also in 33 projects that use this
parcadeiSkillast-grep-find
AST-based code search and refactoring via ast-grep MCP
Also in 4 projects that use this
parcadeiSkilldebug-hooks
Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.
Also in 4 projects that use this
- +5 more from Lambenthan
In this repository41 other files it gives its agents.
- AGENTS.mdAGENTS.md
- guide/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agent-browserSkill
- ask-mattSkill
- codebase-designSkill
- code-reviewSkill
- ddd-groundSkill
- ddd-scopeSkill
- dddSkill
- ddd-verifySkill
- diagnosing-bugsSkill
- domain-modelingSkill
- engineering-workflowSkill
- frontend-designSkill
- grillingSkill
- grill-meSkill
- grill-with-docsSkill
- handoffSkill
- herdrSkill
- implementSkill
- implement-specSkill
- improve-codebase-architectureSkill
- prototypeSkill
- prSkill
- receiving-code-reviewSkill
- retroSkill
- setup-matt-pocock-skillsSkill
- setup-pre-commitSkill
- tddSkill
- teachSkill
- team-leadSkill
- to-questionnaireSkill
- to-specSkill
- to-ticketsSkill
- triageSkill
- verification-before-completionSkill
- wait-whatSkill
- wayfinderSkill
- wizardSkill
- writing-for-agentsSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.

