claude-api
Skill1 starsChanged 4 months agoNo licenceView on GitHub
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).
- Reads credentials
We split this skill into the rules it gives an agent
20 rules. 4 are common, 7 are distinctive, and 9 are very specific to this project.
4
Common
Most of the 88 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
9
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 88 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.
Other versions102 projects use a version of this.
Word for word · 8
- Ayuilos/Miffan★ 311100% same
- HK-hub/AgentSkills★ 6100% same
- xtiqny/SKILLS★ 2100% same
- ever-works/skills★ 1100% same
- amrmrkjr/m3j-workspace★ 0100% same
- jlrolda2/Claude-skills★ 0100% same
- Nankov-ai/anthropics-skills★ 0100% same
- ryotaroh180105/claude-skills★ 0100% same
Edited · 60
- anthropics/skills★ 186k48% same
- rikkahub/rikkahub★ 8.6k48% same
- nikships/droidproxy★ 12398% same
- cohen-liel/hivemind★ 10835% same
- The-AIOS/aios★ 9351% same
- vercel-labs/claude-managed-agents-starter★ 6556% same
- LiChangZheng10086/doyin_ai_video★ 3047% same
- skateddu/claude-code-python-setup★ 2848% same
- jaskirat1616/grok-skills★ 2258% same
- Hassaan146/claude-skills★ 1866% same
50 more not listed
Wrote their own version · 34
- loulanyue/awesome-claude-notes★ 272same name
- kid-sid/claude-spellbook★ 190same name
- tpavanipradeep/everything-claude-code★ 104same name
- mit-network/everything-claude-code★ 76same name
- tranhieutt/software_development_department★ 71same name
- MarcelLeon/skills-zh★ 42same name
- GPTtang/skill-atlas★ 4same name
- yapota2018/affaan-m-everything-claude-code★ 4same name
- Yog-Sotho/claude-skills★ 4same name
- ArogyaReddy/https-github.com-affaan-m-everything-claude-code1★ 2same name
24 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 academy-guide, everything-claude-code-conventions 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.
AnthropicSkillacademy-guide
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
Also in 6 projects that use this
mryeastcodeSkilleverything-claude-code-conventions
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Also in 7 projects that use this
tpavanipradeepSkillnextjs-turbopack
Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
Also in 10 projects that use this
AnthropicSkilldiscernment-nudge
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.
Also in 6 projects that use this
CodeWithBehnamSkilldmux-workflows
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
Also in 11 projects that use this
tpavanipradeepSkillbun-runtime
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
Also in 10 projects that use this
- +2 more from tpavanipradeep
In this repository36 other files it gives its agents.
- algorithmic-artSkill
- brainstormingSkill
- brand-guidelinesSkill
- canvas-designSkill
- dispatching-parallel-agentsSkill
- doc-coauthoringSkill
- docxSkill
- executing-plansSkill
- firecrawl-build-interactSkill
- firecrawl-build-scrapeSkill
- firecrawl-build-searchSkill
- firecrawl-research-indexSkill
- frontend-designSkill
- gurta-contextSkill
- huggingface-datasetsSkill
- internal-commsSkill
- mcp-builderSkill
- pdfSkill
- playwright-skillSkill
- pptxSkill
- puppeteer-skillSkill
- pytest-skillSkill
- requesting-code-reviewSkill
- skill-creatorSkill
- slack-gif-creatorSkill
- subagent-driven-developmentSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
- theme-factorySkill
- train-sentence-transformersSkill
- verification-before-completionSkill
- vitest-skillSkill
- webapp-testingSkill
- web-artifacts-builderSkill
- writing-plansSkill
- xlsxSkill
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.

