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 15 ore
45.602 skill-uri
- persona-event-coordinatorgoogleworkspace/cliPlan and manage events — scheduling, invitations, and logistics.PlanificareFără 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↓ —
- 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↓ —
- 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
- recipe-compare-sheet-tabsgoogleworkspace/cliRead data from two tabs in a Google Sheet to compare and identify differences.AlteleFără 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↓ —
- cognee-integrationstopoteretes/cogneeUse when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenRouter), changing databases (Postgres, PGVector, Neo4j, Neptune, Turso), S3 storage, or the MCP server for IDE integration.DevOpsFără avertismente★ 32,7 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↓ —
- gws-workflow-meeting-prepgoogleworkspace/cliGoogle Workflow: Prepare for your next meeting: agenda, attendees, and linked docs.ProductivitateFără avertismente★ 31,9 K↓ —
- gws-workflow-file-announcegoogleworkspace/cliGoogle Workflow: Announce a Drive file in a Chat space.ProductivitateFără avertismente★ 31,9 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↓ —
- competitive-intelalirezarezvani/claude-skillsSystematic competitor tracking that feeds CMO positioning, CRO battlecards, and CPO roadmap decisions. Use when analyzing competitors, building sales battlecards, tracking market moves, positioning against alternatives, or when user mentions competitive intelligence, competitive analysis, competitor research, battlecards, win/loss, or market positioning.ȘtiințăFără avertismente★ 28,7 K↓ —
- add-discordnanocoai/nanoclawAdd Discord bot channel integration via Chat SDK.AlteleFără avertismente★ 31 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↓ —
- gws-modelarmor-create-templategoogleworkspace/cliGoogle Model Armor: Create a new Model Armor template.AlteleFără avertismente★ 31,9 K↓ —
- gws-workflow-weekly-digestgoogleworkspace/cliGoogle Workflow: Weekly summary: this week's meetings + unread email count.ProductivitateFără avertismente★ 31,9 K↓ —
- recipe-backup-sheet-as-csvgoogleworkspace/cliExport a Google Sheets spreadsheet as a CSV file for local backup or processing.DateFără avertismente★ 31,9 K↓ —
- recipe-post-mortem-setupgoogleworkspace/cliCreate a Google Docs post-mortem, schedule a Google Calendar review, and notify via Chat.InginerieFără avertismente★ 31,9 K↓ —
- recipe-save-email-to-docgoogleworkspace/cliSave a Gmail message body into a Google Doc for archival or reference.ProductivitateFără avertismente★ 31,9 K↓ —
- remove-ai-marksguillaumemeyer/watermarks-removerRemove multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B, always offer), and C2PA/EXIF/XMP/container metadata on PNG/JPEG/WebP/SVG/PDF/DOCX/ODT/HTML/MD/TEX. Covers Claude, Gemini/SynthID-class, OpenAI provenance, and open-LLM sampling marks. Use when the user asks to strip watermarks, remove C2PA/Content Credentials, clean AI metadata, remove invisible Unicode, anti-detect clean AI output, or runs /remove-ai-marks (aliases: /remove-claude-marks).DocumenteFără avertismente★ 24,8 K↓ —
- open-prpascalorg/editorOpen or update a pull request on pascalorg/editor from the current branch, describing only what the branch actually did. Use when the user asks to open/create a PR, push and PR, or ship a branch in the editor repo.RedactareFără avertismente★ 25,1 K↓ —
- review-architecturepascalorg/editorReview a PR against the Pascal architectural rules — package boundaries (core/viewer/editor/nodes), the registry-driven composition model (def.geometry / def.renderer / def.system), legacy-dispatch regressions, the slots + world-scale-UV convention for new nodes/geometry, hook hygiene (useEditor/useScene/useViewer), and selector performance. Use when the user asks to review a PR, audit a branch, or check that changes respect the codebase's architecture.PlanificareFără avertismente★ 25,1 K↓ —
cs-engineering-lead
alirezarezvani/claude-skills
ȘtiințăActualizat acum 3 zile
De la autor
380 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.
Antetul nu a putut fi citit (no frontmatter); afișăm numele folderului.
Instalare
npx skills add alirezarezvani/claude-skills --skill cs-engineering-lead -a claude-code
Se instalează în .claude/skills/cs-engineering-lead/ · 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: MIT
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 94
Securitate100
Proveniență93
Întreținere100
Licență100
Adopție69
Fișiere (1)
- SKILL.md