Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
32,852 skills from 1,459 repositories · updated 9 minutes ago
32,850 skills
- semantic-kernelgithub/awesome-copilotCreate, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.PlanningNo warnings★ 40.4K↓ —
- az-cost-optimizegithub/awesome-copilotAnalyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.DevOpsNo warnings★ 40.4K↓ —
- resemble-detectgithub/awesome-copilotDeepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AIMediaNo warnings★ 40.4K↓ —
- circlecisickn33/agentic-awesome-skillsConfigure CircleCI workflows and orbs for continuous integration and deployment.DevOpsNo warnings★ 48.4K↓ —Also in 1 other repo
- developing-genkit-jsgoogle/skillsDevelop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.OfficialEngineeringNo warnings★ 21.5K↓ —
- aws-s3sickn33/agentic-awesome-skillsConfigure S3 buckets, policies, and lifecycle rules. Implement versioning, replication, and security. Use when managing object storage on AWS.DevOpsNo warnings★ 48.4K↓ —Also in 1 other repo
- tmuxsickn33/agentic-awesome-skillsExpert tmux session, window, and pane management for terminal multiplexing, persistent remote workflows, and shell scripting automation.OtherNo warnings★ 48.4K↓ —Also in 1 other repo
- pyzoteroK-Dense-AI/scientific-agent-skillsManages Zotero reference libraries using the pyzotero Python client: retrieves, creates, updates, and deletes items, collections, tags, and attachments via the Zotero Web API v3 or local API. Applies when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.DocumentsNo warnings★ 54.4K↓ —Also in 1 other repo
- refactorgithub/awesome-copilotSurgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.EngineeringNo warnings★ 40.4K↓ —Also in 1 other repo
- readmesickn33/agentic-awesome-skillsYou are an expert technical writer creating comprehensive project documentation. Your goal is to write a README.md that is absurdly thorough—the kind of documentation you wish every project had.WritingNo warnings★ 48.4K↓ —Also in 1 other repo
- ai-seosickn33/agentic-awesome-skillsOptimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.MarketingNo warnings★ 48.4K↓ —Also in 1 other repo
- pi-agentK-Dense-AI/scientific-agent-skillsBuilds with and operates Pi, the minimal terminal coding harness. Use for installing Pi, configuring providers/models/settings/environment variables, creating Pi skills/extensions/packages/themes/prompt templates, embedding Pi through the SDK, integrating over RPC or JSON event streams, parsing sessions, running local models through the llama.cpp router, developing custom Pi providers and TUI components, or using ecosystem packages such as pi-subagents (delegation/orchestration), pi-mcp-adapter (MCP servers), pi-interview (interactive forms), and pi-web-access (web search, fetching, video understanding).MediaNo warnings★ 54.4K↓ —Also in 1 other repo
- databasesickn33/agentic-awesome-skillsDatabase development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.DataNo warnings★ 48.4K↓ —Also in 1 other repo
- convexsickn33/agentic-awesome-skillsConvex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.DevOpsNo warnings★ 48.4K↓ —Also in 1 other repo
- githubsickn33/agentic-awesome-skillsUse the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.EngineeringNo warnings★ 48.4K↓ —Also in 1 other repo
- transformers-jshuggingface/skillsUse Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in browsers and server-side runtimes (Node.js, Bun, Deno) with WebGPU/WASM using pre-trained models from Hugging Face Hub.OfficialMediaNo warnings★ 11.2K↓ —Also in 1 other repo
- gemini-api-devgoogle-gemini/gemini-skillsUse this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, speech generation (TTS), voice design, voice replication, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. Covers SDK usage and best practices for Gemini models and agents in Python and TypeScript.OfficialEngineeringNo warnings★ 4.3K↓ —
- gemini-live-api-devgoogle-gemini/gemini-skillsUse this skill when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), background reasoning (extended thinking), asynchronous function calling, session management, ephemeral tokens, live transcription, and live translation. SDKs covered - google-genai (Python), @google/genai (JavaScript/TypeScript).OfficialEngineeringNo warnings★ 4.3K↓ —
- hf-cloud-sagemaker-deployment-plannerhuggingface/skillsPlan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.OfficialDevOpsNo warnings★ 11.2K↓ —
- huggingface-lora-space-builderhuggingface/skillsBuild and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base models. Also triggers when someone describes a LoRA they trained or hosts on the Hub and wants to share it. Covers picking the right base pipeline and `diffusers` inference recipe, designing a UI tailored to the LoRA's task and inputs (Union/multi-task control, edit, video, image, etc.), respecting model-card recommendations (trigger words, steps, guidance, LoRA scale, example inputs), and shipping to ZeroGPU hardware as a private Space by default.OfficialDesignNo warnings★ 11.2K↓ —
- gws-sharedgoogleworkspace/cligws CLI: Shared patterns for authentication, global flags, and output formatting.EngineeringNo warnings★ 31.8K↓ —
- add-macos-statusbarnanocoai/nanoclawAdd a macOS menu bar status indicator for NanoClaw. Shows a bolt icon with a green/red dot indicating whether NanoClaw is running, with Start, Stop, and Restart controls. macOS only.OtherNo warnings★ 31K↓ —
- gws-sheetsgoogleworkspace/cliGoogle Sheets: Read and write spreadsheets.WritingNo warnings★ 31.8K↓ —
- gws-gmail-triagegoogleworkspace/cliGmail: Show unread inbox summary (sender, subject, date).ProductivityNo warnings★ 31.8K↓ —
trl-training
huggingface/skills
OfficialWritingUpdated yesterday
From the author
Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training. Use when writing or debugging training code with the TRL Python API or the trl CLI.
Install
npx skills add huggingface/skills --skill trl-training -a claude-code
Installs to .claude/skills/trl-training/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: APACHE-2.0
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