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 11 ore
45.602 skill-uri
- persona-project-managergoogleworkspace/cliCoordinate projects — track tasks, schedule meetings, and share docs.ProductivitateFără 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↓ —
- cognee-custom-pipelinestopoteretes/cogneeUse when building your own cognee processing — writing custom tasks, chaining them into a pipeline with run_custom_pipeline or the lightweight run_pipeline (from cognee.pipelines import run_pipeline), storing custom DataPoints with add_data_points, running custom enrichment over the existing graph, checking pipeline run status, or debugging how data flows between tasks (batch_size, data_per_batch, ctx, Drop, enriches).RedactareFără avertismente★ 32,7 K↓ —
- recipe-block-focus-timegoogleworkspace/cliCreate recurring focus time blocks on Google Calendar to protect deep work hours.ProductivitateFără avertismente★ 31,9 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↓ —
- 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↓ —
- 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↓ —
- persona-exec-assistantgoogleworkspace/cliManage an executive's schedule, inbox, and communications.AlteleFără avertismente★ 31,9 K↓ —
- recipe-create-task-listgoogleworkspace/cliSet up a new Google Tasks list with initial tasks.ProductivitateFără avertismente★ 31,9 K↓ —
- cognee-improve-sessionstopoteretes/cogneeUse when working with cognee's session memory or improve() — storing conversation turns, agent traces and feedback with session_id, bridging sessions into the permanent graph, reading an ImproveResult, understanding why an improve stage was skipped, already_completed or lock_held, or tuning the IMPROVE_* settings.ProductivitateFără avertismente★ 32,7 K↓ —
- persona-hr-coordinatorgoogleworkspace/cliHandle HR workflows — onboarding, announcements, and employee comms.AlteleFără avertismente★ 31,9 K↓ —
- personalized-emailtopoteretes/cogneeDraft a reply to your newest Gmail email that knows what you discussed in your Granola meetings, what you promised the sender, and how you write, using cognee memory. Use when someone asks to answer or reply to their latest email in their own tone. Runs locally; reads Gmail read-only; the draft is printed, never sent.ProductivitateFără avertismente★ 32,7 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
- company-brain-company-qatopoteretes/cogneeBuild one company memory from a SQL database, a support ticket export and a folder of documents, linked into one graph by cognee, then answer questions that need several of those sources together. Use when someone wants to connect their company's database, tickets and docs, or asks who owns, decided or is handling something across them. Runs locally; reads the sources, writes only to cognee's memory.TestareFără avertismente★ 32,7 K↓ —
- diff-risk-explainertopoteretes/cogneeUse to briefly explain small code diffs.InginerieFără avertismente★ 32,7 K↓ —
- gws-workflow-meeting-prepgoogleworkspace/cliGoogle Workflow: Prepare for your next meeting: agenda, attendees, and linked docs.ProductivitateFără avertismente★ 31,9 K↓ —
- cognee-permissionstopoteretes/cogneeUse when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share grants), acting as a specific user in the SDK or authenticating over HTTP (login, API keys), turning access control on or off, debugging PermissionDeniedError or missing datasets, or understanding where permissions are enforced and how datasets are isolated.RedactareFără avertismente★ 32,7 K↓ —
- recipe-find-free-timegoogleworkspace/cliQuery Google Calendar free/busy status for multiple users to find a meeting slot.ProductivitateFără avertismente★ 31,9 K↓ —
- video-sdk/linuxanthropics/knowledge-work-pluginsZoom Video SDK for Linux - C++ headless bots, raw audio/video capture/injection, Qt/GTK integration, Docker supportOficialMediaFără avertismente★ 32,8 K↓ —
- recipe-email-drive-linkgoogleworkspace/cliShare a Google Drive file and email the link with a message to recipients.ProductivitateFără avertismente★ 31,9 K↓ —
- recipe-draft-email-from-docgoogleworkspace/cliRead content from a Google Doc and use it as the body of a Gmail message.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
- hub-runNoualirezarezvani/claude-skillsOne-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation. Use when the user runs /hub:hub-run or asks to execute a full AgentHub competition end-to-end.AlteleFără avertismente★ 28,7 K↓ —
- cognee-installtopoteretes/cogneeUse when the user wants to install cognee and run their first remember → recall flow with the Python SDK — fresh setup, virtual env, extras selection, or a minimal working example.InginerieFără avertismente★ 32,7 K↓ —
cognee-community
topoteretes/cognee
DevOpsActualizat alaltăieri
De la autor
Use when the user needs something that ships outside cognee core — community database adapters (Qdrant, Milvus, Weaviate, Redis, Pinecone, FalkorDB, Memgraph, DuckDB, NetworkX, …), data-source connectors (Slack, Gmail, Notion, Confluence, Google Drive), custom tasks/pipelines/retrievers (Exa, ScrapeGraph, codify), Keywords AI observability — or wants to contribute a package to the cognee-community repo.
Instalare
npx skills add topoteretes/cognee --skill cognee-community -a claude-code
Se instalează în .claude/skills/cognee-community/ · 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 instrucțiuniFolosește rețeauaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
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De ce 94
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Proveniență94
Întreținere100
Licență100
Adopție70
Fișiere (1)
- SKILL.md