Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 341 files from 1 736 authors, of which 61 700 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
prisma migrate status
prisma migrate diff. Reference when using this Prisma feature.
prisma studio. Reference when using this Prisma feature.
prisma validate. Reference when using this Prisma feature.
Client Methods. Reference when using this Prisma feature.
PrismaClient Constructor
Model Queries. Reference when using this Prisma feature.
Raw Queries. Reference when using this Prisma feature.
Query Options. Reference when using this Prisma feature.
Filter Conditions and Operators
Relation Queries. Reference when using this Prisma feature.
Transactions. Reference when using this Prisma feature.
MongoDB Setup. Reference when using this Prisma feature.
MySQL Setup. Reference when using this Prisma feature.
PostgreSQL Setup. Reference when using this Prisma feature.
CockroachDB Setup. Reference when using this Prisma feature.
Prisma Client Setup. Reference when using this Prisma feature.
Prisma Postgres Setup
SQLite Setup. Reference when using this Prisma feature.
SQL Server Setup. Reference when using this Prisma feature.
Prisma Accelerate Users
Driver Adapters. Reference when using this Prisma feature.
Environment Variables
ESM Support. Reference when using this Prisma feature.
Prisma Config. Reference when using this Prisma feature.
Removed Features. Reference when using this Prisma feature.
Schema Changes. Reference when using this Prisma feature.
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.
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| Extract clean markdown from any URL, including JavaScript-rendered SPAs. Use this skill whenever the user provides a URL and wants its content, says "scrape", "grab", "fetch", "pull", "get the page", "extract from this URL", or "read this webpage". Handles JS-rendered pages, multiple concurrent URLs, and returns LLM-optimized markdown. Use this instead of WebFetch for any webpage content extraction.
| Web search with full page content extraction. Use this skill whenever the user asks to search the web, find articles, research a topic, look something up, find recent news, discover sources, or says "search for", "find me", "look up", "what are people saying about", or "find articles about". Returns real search results with optional full-page markdown — not just snippets. Provides capabilities beyond Claude's built-in WebSearch.
Delegate complex tasks to Amplifier's multi-agent framework. Use when: (1) research/comparison needing multiple perspectives, (2) multi-file code projects, (3) architecture/design reviews, (4) user asks for deep/thorough work. NOT for: simple Q&A, quick edits, casual chat, anything needing <5s response. CLI: amplifier-openclaw.
> Scans the Teams platform based app code base. Evaluates the code based on the rules described in the skill. Generates a report on the NGC readiness of the app based on the rules. Trigger phrases include "Generate a report for NGC readiness", "NGC readiness report", "Scan for issues related to NGC" etc.
Use when setting up, operating, migrating, repairing, or explaining an OpenClaw deployment on Hugging Face with the ML Claw `mlclaw` CLI. Covers the browser Space gateway, Hugging Face OAuth, local gateway mode, private Storage Buckets, Telegram as an optional connector, Docker context pinning, model selection through the Hugging Face Router, OpenAI API key setup, costs, diagnostics, and state safety.
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.
Use ML Claw's HF Broker for protected Hugging Face repository and bucket reads, writes, temporary grants, recovery, and revocation. Use instead of asking for or exposing a Hugging Face access token.
> Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. "which model runs on my laptop/machine/device", "recommend a model for", "what LLM should I use for", "compare models for", "what's state of the art for", or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.
> Multi-agent QA review team for code changes. This skill should be used when the user asks to "review my code", "run QA", "qa-team", "review this branch", "code review", "check my changes", or wants a comprehensive multi-perspective code review of the current branch's changes. Spawns parallel specialist agents (security, database, reliability, compatibility, data integrity, performance, frontend, copy) that independently review the diff and produce a converged report. Also includes two generalist reviewers for convergence validation.
| Manager-side team rollup for Copilot Cowork ROI. Aggregates the de-identified stats teammates post (via the Cowork Team Report Member skill) to a shared Teams channel into ONE anonymized HTML dashboard (five tabs, with the how-to-read guide built in), then emails the channel members a summary with the dashboard attached. First run asks for the Teams channel link and remembers it; each run reads the latest 15 days and keeps the latest post per person. Numbers only — no names or files; a Role breaks out only when 3+ share it. Small homogeneous teams; not org-wide. Use when the user asks to "build the team Cowork Team Report", "aggregate my team's Cowork stats", "roll up the channel posts", "manager Cowork Team Report", "email the team dashboard", or set up / refresh the rollup.
| Member step of the team Cowork Team Report rollup. Harvests the signed-in user's own Copilot Cowork session history from OneDrive, lets the user exclude any chat/task, computes impact metrics, and posts a de-identified, TABLE-FORMATTED stats message to your team's dedicated "Cowork report" Teams channel (the channel link is requested on first run and remembered). Tables cover KPIs, time-by-category, value pillars, jobs-to-be-done, business processes, roles, skills, and deliverable types. Person names, file names and prompts are excluded; process/JTBD and customer/account names are kept. Bundles its own pipeline. Runs once or on a biweekly schedule (every other Monday; scheduled runs email the user to review/exclude sessions before posting). Use when the user asks to "post my Cowork Team Report stats", "send my Cowork stats to the team channel", "run the Cowork Team Report member step", or "share my Cowork impact with the team".
| Manager-side team rollup for Copilot Cowork ROI. Aggregates the de-identified stats teammates post (via the Cowork Dashboard Member skill) to a shared Teams channel into ONE anonymized HTML dashboard (five tabs), then emails the channel members a summary with the dashboard and a one-page PDF guide attached. First run asks for the Teams channel link and remembers it; each run reads the latest 15 days and keeps the latest post per person. Numbers only — no names or files; a Role breaks out only when 3+ share it. Small homogeneous teams; not org-wide. Use when the user asks to "build the team Cowork Dashboard", "aggregate my team's Cowork stats", "roll up the channel posts", "manager Cowork Dashboard report", "email the team dashboard", or set up / refresh the rollup.
> Use this skill whenever the user wants to add, create, or write a new eval (evaluation) in the auth0-evals repository. This includes requests like "add an eval for X", "create a new eval", "write a grader for Y", "add a test case for the Z SDK", or "extend the eval suite". Use it whenever the user mentions eval IDs, graders, PROMPT.md, graders.ts, or wants to measure how well an LLM handles an Auth0 SDK integration task. Always use this skill before writing any eval files — it contains critical conventions that are easy to get wrong.
Set up slop-farmer for a GitHub repository end-to-end. Use this whenever the user mentions slop-farmer setup, creating a repo config, choosing scrape limits, checking GitHub rate limits, cleaning PR template boilerplate, inspecting issue/PR title patterns with gh, installing or authenticating the Hugging Face hf CLI, publishing datasets, reproducing dashboards, or deploying the static dashboard to a Hugging Face Space. Be proactive even if the user only asks for one piece of the setup, because config, auth, dataset publishing, and dashboard deployment are tightly coupled here.
> Analyze the current session and decide whether an attractor pipeline is "should this be an attractor?", "design a pipeline for", "attractorify this", "do I need an attractor pipeline?", "turn this into a pipeline".
Publish a single demo to v0 and optionally create Typefully drafts. Use when the user says "publish", "publish to v0", or "create typefully draft" for a demo.
End-to-end publish + Typefully draft pipeline for a single demo. Use when the user says "draft", "create draft", "typefully draft", or wants to publish a demo and create social thread drafts in one go.
Use this skill whenever the user mentions Microsoft Teams in a development context — whether they're building, integrating, configuring, debugging, or just asking questions. Covers bots, message extensions, embedded web apps, Adaptive Cards, dialogs, SSO, infrastructure, the Teams Developer CLI/SDK, and general Teams platform queries. If the word "Teams" appears, err on the side of invoking this skill.
Ultimate personal shopping assistant: find, compare, buy, gift, and reorder products across the Shop catalog containing millions of stores. Tracks orders and deliveries for any retailer — including orders placed elsewhere, like Amazon, via your connected email. Helps get order info and initiate returns and refunds.
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.
Use the browse CLI for Browserbase browser automation, Browserbase cloud APIs, Browserbase Functions, templates, web fetch/search, diagnostics, and Browse.sh skill discovery/installation. Use when the user asks to navigate pages, inspect browser state, run local or remote browser sessions, manage Browserbase resources, call Browserbase Functions, browse or scaffold Browserbase templates, fetch or search web content, diagnose browse setup, find or install a skill for a website task, discover site-specific Browse.sh skills, or install/refresh this browse skill.
Operate and supervise an orchid/divybot agent swarm — open issues as work, watch workers over herdr, relay-free PR supervision, governor pacing, credential health, deploy. Use when asked to check the swarm, open work, why a worker is stuck, scale/pause a target, deploy the coordinator, or fix a fleet-wide auth failure.
Cut a new transformers-mlinter release. Bumps the version across all pinned locations, updates the CHANGELOG, runs local checks and a packaged smoke test, then drives the tag-based GitHub Actions publish to PyPI. Use when asked to release, cut a version, or ship X.Y.Z.
Add a new TRF rule to the mlinter. Checks for duplicates, creates the rule module and TOML entry, runs against all models, and handles violations (fix or allowlist).
Build creative-coding sketches and digital art with Klint's immediate-mode Canvas 2D API in React or vanilla JavaScript.
Convene the seven act-steward agents (act-1-setup through act-7-close) into a read-only team and run a coordinated narrative, language, and consistency review across the Workflow SDK GA deck. Use when the user asks for a "narrative review", "council", "consistency pass", "deck review", or questions that span multiple acts (e.g., "does retry vocabulary carry from Act II to Act V?"). Skip for single-slide edits — read the relevant slide directly.
> Build multi-platform chat bots with Chat SDK (`chat` npm package). Use when developers want to (1) Build a Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, or WhatsApp bot, (2) Use Chat SDK to handle mentions, direct messages, subscribed threads, reactions, slash commands, cards, modals, files, or AI streaming, (3) Set up webhook routes or multi-adapter bots, (4) Send rich cards or streamed AI responses to chat platforms, (5) Build or maintain a custom adapter or state adapter. Triggers on "chat sdk", "chat bot", "slack bot", "teams bot", "google chat bot", "discord bot", "telegram bot", "whatsapp bot", "@chat-adapter", "@chat-adapter/state-", "custom adapter", "state adapter", "build adapter", and building bots that work across multiple chat platforms.
| dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.
Deploy, manage, and develop projects on Vercel from the command line
Claude Skills — questions
Answers built from the skills we actually parsed.