Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
45.604 skill-uri din 2.205 depozite · actualizat acum 10 ore
45.602 skill-uri
- gws-script-pushgoogleworkspace/cliGoogle Apps Script: Upload local files to an Apps Script project.AlteleFără avertismente★ 31,9 K↓ —
- learnnanocoai/nanoclawDistill a reusable skill from anything — a directory, a URL, pasted notes, or what you just did together — or refine an existing skill with new learnings. Use when the user says '/learn', 'learn this', 'turn this into a skill', 'capture this workflow', 'make a skill from <source>', or 'improve/update the <name> skill'. Produces or updates a .claude/skills/<name>/SKILL.md authored to NanoClaw's skill guidelines. (This CREATES or REFINES a skill from a source; it does not install existing skills from a registry.)ProductivitateFără avertismente★ 31 K↓ —
- gws-meetgoogleworkspace/cliManage Google Meet conferences.AlteleFără avertismente★ 31,9 K↓ —
- gws-sheets-readgoogleworkspace/cliGoogle Sheets: Read values from a spreadsheet.DateFără avertismente★ 31,9 K↓ —
- gws-chatgoogleworkspace/cliGoogle Chat: Manage Chat spaces and messages.AlteleFără avertismente★ 31,9 K↓ —
- gws-drive-uploadgoogleworkspace/cliGoogle Drive: Upload a file with automatic metadata.AlteleFără avertismente★ 31,9 K↓ —
- setupnanocoai/nanoclawRun initial NanoClaw setup. Use when user wants to install NanoClaw, configure it, or go through first-time setup. Triggers on "setup", "install", "configure nanoclaw", or first-time setup requests.AlteleFără avertismente★ 31 K↓ —
- persona-content-creatorgoogleworkspace/cliCreate, organize, and distribute content across Workspace.AlteleFără avertismente★ 31,9 K↓ —
- social-contentalirezarezvani/claude-skillsWhen the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.MarketingFără avertismente★ 28,7 K↓ —
- intl-expansionalirezarezvani/claude-skillsInternational market expansion strategy. Market selection, entry modes, localization, regulatory compliance, and go-to-market by region. Use when expanding to new countries, evaluating international markets, planning localization, or building regional teams.JuridicFără avertismente★ 28,7 K↓ —
- gws-docs-writegoogleworkspace/cliGoogle Docs: Append text to a document.RedactareFără avertismente★ 31,9 K↓ —
- gws-gmail-readgoogleworkspace/cliGmail: Read a message and extract its body or headers.AlteleFără avertismente★ 31,9 K↓ —
- 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.OficialMediaFără avertismente★ 11,2 K↓ —Apare și în 1 alt depozit
- gws-gmail-sendgoogleworkspace/cliGmail: Send an email.ProductivitateFără avertismente★ 31,9 K↓ —
- trl-traininghuggingface/skillsPost-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.OficialRedactareFără avertismente★ 11,2 K↓ —Apare și în 1 alt depozit
- huggingface-besthuggingface/skillsUse 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. Triggers on: "best model for X", "what model should I use for", "top models for [task]", "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.OficialPlanificareFără avertismente★ 11,2 K↓ —
- persona-it-admingoogleworkspace/cliAdminister IT — monitor security and configure Workspace.SecuritateFără avertismente★ 31,9 K↓ —
- gws-modelarmorgoogleworkspace/cliGoogle Model Armor: Filter user-generated content for safety.AlteleFără avertismente★ 31,9 K↓ —
- huggingface-trackiohuggingface/skillsTrack and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.OficialInginerieFără avertismente★ 11,2 K↓ —
- gws-workflowgoogleworkspace/cliGoogle Workflow: Cross-service productivity workflows.ProductivitateFără avertismente★ 31,9 K↓ —
- gws-chat-sendgoogleworkspace/cliGoogle Chat: Send a message to a space.AlteleFără avertismente★ 31,9 K↓ —
- gws-classroomgoogleworkspace/cliGoogle Classroom: Manage classes, rosters, and coursework.AlteleFără avertismente★ 31,9 K↓ —
- gws-gmail-replygoogleworkspace/cliGmail: Reply to a message (handles threading automatically).AlteleFără avertismente★ 31,9 K↓ —
- huggingface-zerogpuhuggingface/skillsAI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.OficialRedactareFără avertismente★ 11,2 K↓ —