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.
49.415 skill-uri din 2.407 depozite · actualizat acum 3 ore
49.415 skill-uri
- sno-mem-cursorsno-ai/sno-stationUse Sno memory from Cursor through four explicit commands.ProductivitateFără avertismente★ 1 K↓ —
- 生成视频素材NouChatCut-Inc/agent-plugin按创作需求生成视频镜头。AlteleFără avertismente★ 1 K↓ —
- 创作偏好NouChatCut-Inc/agent-plugin确认视频方向、风格与必要的创作偏好。AlteleFără avertismente★ 1 K↓ —
- voiceNouChatCut-Inc/agent-pluginCreate and place ChatCut voiceover, narration, and custom sound effects from WorkBuddy while keeping timing, voice choice, and credit confirmation explicit.AlteleFără avertismente★ 1 K↓ —
- varg-music-videohashgraph-online/awesome-codex-pluginsDirects an AI music video or a song-driven promo end to end on varg, the way the most-watched AI music videos are made: measure the song (beat grid, word timings), pitch the concept, cast and lock character references, storyboard every cut on a downbeat, approve stills before paying for video, generate Seedance 2.5 shots, run a mandatory lip-sync pass, draw lyrics and graphics in code, run review rounds and master for each platform. Use when someone asks for a music video, a clip for my song, a video for a track, a lyric video with AI footage, a singing character, an AI artist or band video, slopcore, or a launch video cut to a song. Not for a one-off generated song or single clip (use varg-ai), shot planning and 3D camera blocking only (use varg-previz), a talking character without music (use varg-character-keynote or varg-podcast-video), or a typography-only lyric video with no generated footage (use a HyperFrames music-to-video skill).MediaFără avertismente★ 1,5 K↓ —
- daily-updateNouAr9av/obsidian-wikiRun or configure the daily wiki maintenance cycle: check source freshness, refresh the index and hot.md, and manage its scheduled 9 AM launchd/systemd/cron reminder. Use for daily or morning wiki refresh or scheduler setup and verification.AlteleFără avertismente★ 3,7 K↓ —
- oma-marketfirst-fluke/oh-my-agentResearch customer pain points, trends, and competitors through the OMA market engine. Use for market discovery or voice-of-customer analysis.ȘtiințăFără avertismente★ 1,4 K↓ —Apare și în 4 alte depozite
- oma-coordinationActualizatfirst-fluke/oh-my-agentCoordinate assigned specialist tasks and handoffs manually. Use when supervising a multi-agent project step by step.PlanificareFără avertismente★ 1,4 K↓ —Apare și în 2 alte depozite
- hf-cloud-python-env-setuphuggingface/skillsSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.OficialInginerieFără avertismente★ 11,3 K↓ —
- cloudbase-platformActualizatTencentCloudBase/CloudBase-AI-ToolkitCloudBase platform overview and routing guide. This skill should be used when users need high-level capability selection, platform concepts, console navigation, realtime (broadcast / presence / live database changes), or cross-platform best practices before choosing a more specific implementation skill.DateFără avertismente★ 1,2 K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OficialMediaFără avertismente★ 11,3 K↓ —
- huggingface-community-evalshuggingface/skillsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.OficialAlteleFără avertismente★ 11,3 K↓ —
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OficialȘtiințăFără avertismente★ 11,3 K↓ —
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OficialProductivitateFără avertismente★ 11,3 K↓ —
- gpt-image-2-6Nouhashgraph-online/awesome-codex-pluginsGuide to OpenAI's GPT Image 2.6 on varg (gpt_image_2_6) and the entry point to the GPT Image 2.6 skill set: Flare vs Sunburst, quality vs reasoning_effort, sizes and aspect presets, what fal rejects (xhigh and max effort, SVG, over 16 GIF frames), measured prices, failure modes, the exact varg MCP and REST calls, and prompt recipes for the text-heavy layouts people shared on X: infographic, product launch poster, photo to editorial travel print, photo to Baroque gallery poster, landmark postcard, character turnaround sheet, storyboard sheet and low-res to clean upscale, each credited to its author. Use when someone asks for GPT Image 2.6, gpt-image-2.6, Flare or Sunburst, wants an infographic, poster, art print, character sheet or storyboard with readable text, or asks how to prompt, size or price this model. Not for looping GIFs (gpt-image-gif), sticker packs (gpt-image-sticker-pack), game sprite sheets (gpt-image-sprite-sheet), circle-and-arrow edits (gpt-image-markup-edit) or video (varg-ai).MediaFără avertismente★ 1,5 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —Apare și în 1 alt depozit
- gemini-omni-flash-apigoogle-gemini/gemini-skillsUse this skill for generative video editing, text-to-video, image-referenced video generation, first-frame-to-video, first-and-last-frame transitions, and video extensions using Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) via the official google-genai SDK. Includes workflows for pre-processing/optimizing high-resolution or long source videos with ffmpeg, stripping audio for full sound regeneration, and handling turn-by-turn video editing and parallel execution.OficialInginerieFără avertismente★ 4,4 K↓ —
- writing-guidelinesfcakyon/claude-codex-settingsThis skill should be used when the user asks to "review writing", "check documentation style", "audit interface copy", or "apply writing guidelines".RedactareFără avertismente★ 1,2 K↓ —
- openai-frontend-designfcakyon/claude-codex-settingsUse for new frontend applications, dashboards, games, creative websites, hero sections, and visually driven UI from scratch, or when the user explicitly asks for a redesign/restyle/modernization. Builds from clean, airy, high-taste, readable image-generated concept design with section-specific references, faithful implementation, and browser testing.DesignFără avertismente★ 1,2 K↓ —
- sandbox-migrate-to-nextfcakyon/claude-codex-settingsMigrate Cloudflare Sandbox apps from stable @cloudflare/sandbox to @cloudflare/sandbox@next (SDK 1.0 preview). Use sandbox-next for apps already on the preview.DevOpsFără avertismente★ 1,2 K↓ —
- stripe-best-practicesfcakyon/claude-codex-settingsGuides Stripe integration decisions across development and test environment planning (separate sandboxes vs the shared test mode sandbox), API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, tax and registrations (Stripe Tax, automatic_tax, product tax codes), Treasury financial accounts, integration options (Checkout, Payment Element), migrating from deprecated Stripe APIs, and security best practices (API key management, API key permissions, webhooks, OAuth). Use when planning, building, modifying, testing, or reviewing any Stripe integration, including choosing a development environment, accepting payments, building marketplaces, integrating Stripe, processing payments, setting up subscriptions, collecting sales tax, VAT, or GST, creating connected accounts, or implementing secure key handling.SecuritateFără avertismente★ 1,2 K↓ —
- helphashgraph-online/awesome-codex-pluginsShow KERNEL help. The unified skill system, state operations, agents, current plugin status. Triggers: help, how, what, skills, commands.AlteleFără avertismente★ 1,5 K↓ —
- jlcpcbhashgraph-online/awesome-codex-pluginsJLCPCB PCB fabrication and assembly — BOM/CPL generation, basic vs extended parts, assembly constraints, design rules, ordering workflow. Use with KiCad for JLCPCB manufacturing. Use this skill when the user mentions JLCPCB, wants to order PCBs or assembled boards, needs prototype bare PCBs and stencils, wants to know JLCPCB design rules and capabilities, or is asking about PCB manufacturing costs or turnaround times. For gerber/CPL export, stencil ordering, and BOM management, see the `bom` skill.DesignFără avertismente★ 1,5 K↓ —
- company-watchhashgraph-online/awesome-codex-pluginsWatches a company or topic on podcasts and YouTube: what was said lately (shows, counts, momentum, quotes), then an Arcmira monitor to keep following it.AlteleFără avertismente★ 1,5 K↓ —
judge-task-lifecycle
sno-ai/sno-station
De la autor
Judge how a memory changes active-task state and whether it refers to an existing task. Use for mem-claw task-lifecycle model calls.
Instalare
npx skills add sno-ai/sno-station --skill judge-task-lifecycle -a claude-code
Se instalează în .claude/skills/judge-task-lifecycle/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
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De ce 88
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- SKILL.md