source-driven-development
Skill1 starsChanged 3 months agoLicence not identifiedView on GitHub
Grounds implementation choices in authoritative code sources, official documentation, and verified APIs.
71 other projects use a version of this.
Adopted by
Most recently taken up by
- ishandutta2007/Awesome-Agent-Skillstheir own version, first seen Nov 8, 2026
- TheAstroByte/astrobyte-agent-skillstheir own version, first seen Nov 8, 2026
- MMACABRE/SKILLStheir own version, first seen Nov 8, 2026
- celestialdust/achilles-skillstheir own version, first seen Nov 1, 2026
- steven123397/nexuskit-skillstheir own version, first seen Nov 1, 2026
- AgnesAI-Labs/agnet-skills-cntheir own version, first seen Nov 1, 2026
Used with
Projects with it also use constraint-driven-development, verification-before-completion and 7 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.
MrCipherSmithSkillconstraint-driven-development
Use when a project needs a persistent, measurable quality bar — starting a project without documented standards, 'set up constraints', or when coverage/perf/a11y thresholds get re-debated per-PR. Produces CONSTRAINTS.md with enforceable numbers, ratchets, and a guard against silent weakening. NOT for throwaway prototypes or a one-off CI setup.
Also in 13 projects that use this
OpenAISkillverification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Also in 6 projects that use this
PostHogSkillkarpathy-guidelines
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. Based on https://github.com/multica-ai/andrej-karpathy-skills.
Also in 3 projects that use this
OpenAISkillbrainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Also in 5 projects that use this
CloudflareSkillreceiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Also in 3 projects that use this
VercelSkillvercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Also in 4 projects that use this
- +3 more from openai
Other versions71 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 71
- addyosmani/agent-skills★ 114ksame name
- shashankswe2020-ux/whoop-mcp★ 174same name
- tranhieutt/software_development_department★ 71same name
- drvoss/everything-copilot-cli★ 48same name
- vinvcn/addyosmani-agent-skills-zh★ 46same name
- jmxt3/gitscape.ai★ 33same name
- sampleXbro/agentsmesh★ 27same name
- jaskirat1616/grok-skills★ 22same name
- ishandutta2007/Awesome-Agent-Skills★ 21same name
- galando/temper★ 18same name
61 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 repository30 other files it gives its agents.
- code-review-and-qualitySkill
- code-simplificationSkill
- context-engineeringSkill
- documentation-and-adrsSkill
- git-workflow-and-versioningSkill
- incremental-implementationSkill
- performance-optimizationSkill
- planning-and-task-breakdownSkill
- security-and-hardeningSkill
- spec-driven-developmentSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
- accessibilitySkill
- anime-jsSkill
- frontend-designSkill
- frontend-qualitySkill
- impeccableSkill
- motion-devSkill
- responsive-designSkill
- tasteSkill
- three-jsSkill
- ui-architectureSkill
- ui-ux-pro-maxSkill
- claim-verificationSkill
- evidence-synthesisSkill
- literature-reviewSkill
- research-methodologySkill
- research-planningSkill
- source-evaluationSkill
- web-research-with-sourcesSkill
The file
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 64 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.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 64 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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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.

