api-designer
Skill1 starsChanged 16 days agoNo licenceView on GitHub
Use when designing REST or GraphQL APIs, creating OpenAPI specifications, or planning API architecture. Invoke for resource modeling, versioning strategies, pagination patterns, error handling standards.
34 other projects use a version of this, 10 of them edited.
Adopted by
Most recently taken up by
- santiago-migoni/claude-skillsword for word, first seen Nov 8, 2026
- lsyamsiar/claude-skillsword for word, first seen Nov 1, 2026
- k1lgor/virtual-companytheir own version, first seen Nov 1, 2026
- jaskirat1616/grok-skillstheir own version, first seen Nov 1, 2026
- codeApe-7/ai-agent-workflowGroupedited, first seen Nov 1, 2026
- hu465/claude-skills-word for word, first seen Oct 25, 2026
Used with
Projects with it also use shopify-expert, monitoring-expert and 4 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.
JeffallanSkillshopify-expert
Builds and debugs Shopify themes (.liquid files, theme.json, sections), develops custom Shopify apps (shopify.app.toml, OAuth, webhooks), and implements Storefront API integrations for headless storefronts. Use when building or customizing Shopify themes, creating Hydrogen or custom React storefronts, developing Shopify apps, implementing checkout UI extensions or Shopify Functions, optimizing performance, or integrating third-party services. Invoke for Liquid templating, Storefront API, app development, checkout customization, Shopify Plus features, App Bridge, Polaris, or Shopify CLI workflows.
Also in 7 projects that use this
JeffallanSkillmonitoring-expert
Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling, and plans infrastructure capacity. Use when setting up application monitoring, adding observability to services, debugging production issues with logs/metrics/traces, running load tests with k6 or Artillery, profiling CPU/memory bottlenecks, or forecasting capacity needs.
Also in 9 projects that use this
- +4 more from Jeffallan
Other versions34 projects use a version of this.
Word for word · 4
- Jeffallan/claude-skills★ 12k100% same
- hu465/claude-skills-★ 0100% same
- lsyamsiar/claude-skills★ 0100% same
- santiago-migoni/claude-skills★ 0100% same
Edited · 10
- codeApe-7/ai-agent-workflowGroup★ 18100% same
- PIXARTSeu/Synapse★ 9100% same
- thesaifalitai/claude-setup★ 961% same
- HK-hub/AgentSkills★ 6100% same
- zacklecon/claude-skills★ 361% same
- computer-agents/skills★ 261% same
- herbert051281/mission-control★ 055% same
- james-paul25/claude-skill★ 099% same
- LucasGS520/Claude-Skills★ 099% same
- usmanmubarak1/ClaudeSkilledAgents★ 055% same
Wrote their own version · 20
- nahisaho/MUSUBI★ 74same name
- AutumnsGrove/ClaudeSkills★ 30same name
- jshsakura/awesome-opencode-skills★ 30same name
- jaskirat1616/grok-skills★ 22same name
- JayRHa/agent-skills★ 12same name
- JayRHa/AgentSkills★ 12same name
- belokonm/claude-supercode-skills★ 11same name
- nicolasestrem/antigravity-gemini-skills★ 8same name
- xcrrr/claude-skills★ 6same name
- Kshitijpalsinghtomar/depth-skills★ 5same name
10 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 repository107 other files it gives its agents.
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- pandas-proSkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 5 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 29 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — 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 29 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.
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.

