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 12 ore
45.602 skill-uri
- update-nanoclawnanocoai/nanoclawTransactionally update a customized NanoClaw checkout from official upstream without exposing live mounted source, with fork-safe skill refresh, mutable-state snapshots, migration gates, exact-code upgrade markers, detected service restart, health verification, and automatic local rollback. Use for routine merge, rebase, or selective upstream updates.InginerieFără avertismente★ 31 K↓ —
- cs-demand-gen-specialistalirezarezvani/claude-skills380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.PlanificareFără avertismente★ 28,7 K↓ —
- gws-docs-writegoogleworkspace/cliGoogle Docs: Append text to a document.RedactareFără 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↓ —
- gws-slidesgoogleworkspace/cliGoogle Slides: Read and write presentations.DocumenteFără avertismente★ 31,9 K↓ —
- 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.OficialDesignFără avertismente★ 11,2 K↓ —
- 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↓ —
- update-skillsnanocoai/nanoclawRefresh installed NanoClaw channel and provider payloads (channels from their registry branch, providers from their skill payload) with fork-safe remote resolution and a blocking structured result. Use after updating NanoClaw or whenever installed channel/provider code may be stale.InginerieFără avertismente★ 31 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-sharedgoogleworkspace/cligws CLI: Shared patterns for authentication, global flags, and output formatting.InginerieFără avertismente★ 31,9 K↓ —
- gws-peoplegoogleworkspace/cliGoogle People: Manage contacts and profiles.AlteleFără avertismente★ 31,9 K↓ —
- add-telegramnanocoai/nanoclawAdd Telegram channel integration via Chat SDK.AlteleFără avertismente★ 31 K↓ —
- gws-eventsgoogleworkspace/cliSubscribe to Google Workspace events.AlteleFără avertismente★ 31,9 K↓ —
- add-deltachatnanocoai/nanoclawAdd DeltaChat channel integration via @deltachat/stdio-rpc-server. Native adapter — no Chat SDK bridge. Email-based messaging with end-to-end encryption.ProductivitateFără avertismente★ 31 K↓ —
- manage-mountsnanocoai/nanoclawConfigure which host directories agent containers can access. View, add, or remove mount allowlist entries. Triggers on "mounts", "mount allowlist", "agent access to directories", "container mounts".AlteleFără avertismente★ 31 K↓ —
- gtm-strategyphuryn/pm-skillsCreate a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market.MarketingFără avertismente★ 27,4 K↓ —
- gws-gmail-readgoogleworkspace/cliGmail: Read a message and extract its body or headers.AlteleFără 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
- 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
- growth-loopsphuryn/pm-skillsIdentify growth loops (flywheels) for sustainable traction. Evaluates 5 loop types: Viral, Usage, Collaboration, User-Generated, and Referral. Use when designing growth mechanisms, building product-led traction, or understanding how growth loops work.MarketingFără avertismente★ 27,4 K↓ —
- add-ollama-providernanocoai/nanoclawRoute a NanoClaw agent group to a local Ollama model instead of the Anthropic API. Ollama speaks the Anthropic API natively (v1/messages), so no provider code changes are needed — just env var overrides and a model setting. Use when the user wants to run their agent locally, cut API costs, or experiment with open-weight models. See docs/ollama.md for background.InginerieFără avertismente★ 31 K↓ —
- gws-gmail-sendgoogleworkspace/cliGmail: Send an email.ProductivitateFără avertismente★ 31,9 K↓ —
- add-discordnanocoai/nanoclawAdd Discord bot channel integration via Chat SDK.AlteleFără avertismente★ 31 K↓ —
- gws-gmail-triagegoogleworkspace/cliGmail: Show unread inbox summary (sender, subject, date).ProductivitateFără avertismente★ 31,9 K↓ —
hf-mem
huggingface/skills
OficialInginerieActualizat acum 3 zile
De la autor
Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
Instalare
npx skills add huggingface/skills --skill hf-mem -a claude-code
Se instalează în .claude/skills/hf-mem/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
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De ce 94
Securitate100
Proveniență100
Întreținere100
Licență100
Adopție63
Fișiere (1)
- SKILL.md