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 51 de minute
49.415 skill-uri
- senior-securityalirezarezvani/claude-skillsCheck if a design or code is secure: STRIDE threat model, DREAD risk scores, leaked secret scan. Use whenever the user asks what could be attacked, how risky a feature is, or to find exposed keys.SecuritateFără avertismente★ 29,3 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
- 制作产品 / App 宣传片NouChatCut-Inc/agent-plugin为软件产品、App 或网站制作宣传片，结合真实品牌素材、视频、MG 动画、配音与音乐。AlteleFără avertismente★ 1 K↓ —
- video-genNouChatCut-Inc/agent-pluginAI video editor for agents. ChatCut plugin and MCP server for Codex, ChatGPT, Claude Code, Cursor, Grok, Gemini CLI, WorkBuddy, Doubao Work and Qwen Work: edit your own footage by chatting, add captions and subtitles, remove silences and filler words, create motion graphics, and export an editable timeline.MediaFără avertismente★ 1 K↓ —
- inithashgraph-online/awesome-codex-pluginsFirst-time Archcore setup. Wires the host (MCP config, hooks, CLAUDE.md/AGENTS.md managed block), measures the authored context the repo already holds, then composes a first-day seed — stack rule, run guide, data-model, integrations, config, entry points, public surface, a linked architecture overview, and specs for the top hotspot modules — shown in ONE preview and created on a single confirm. Modes, named as the first word: init import converts the repo's authored context — CLAUDE.md, AGENTS.md, .cursor/rules and other agent instructions, ADR and RFC folders, contributor docs, internal pages of a published docs site, recoverable git history — into native typed documents with no import marks, staged by a plan when the volume is large; init refresh adds facts that appeared since, or drills into one domain with init refresh <domain>. Use on a fresh clone, empty `.archcore/`, 'set up archcore', 'migrate our CLAUDE.md to archcore', 'import our docs and ADRs', or to wire host configs. Not for individual docs or pPlanificareFără avertismente★ 1,5 K↓ —
- chatcut-connectChatCut-Inc/agent-pluginConnect to ChatCut via MCP, ensure authentication, list projects, and report them with clean editor links. Use when the user asks to connect ChatCut, list ChatCut projects, authenticate ChatCut MCP, or any combination like "连接 ChatCut 并列出我的项目". Delegates editor opening to the chatcut-editor-handoff skill.RedactareFără avertismente★ 1 K↓ —
- video-translationChatCut-Inc/agent-pluginTranslate, dub, and localize speech in an existing video while optionally preserving speaker voices, generating translated captions, or synchronizing the speaker's lip movements. Use when the user asks for 视频译制、多语言配音、 把视频里的中文变成英文、让视频里的人说另一种语言、保留原音色、翻译声音、 口型同步、translated video, video dubbing, voice translation, or lip-synced localization, as well as traducción de video, doblaje de video, traducir un video, or sincronización labial. This Skill MUST be loaded before composing treatment choices for an ambiguous video-translation request in any language, including a turn that only asks the user to choose a treatment. Do not use when the user only wants subtitles translated, wants an SRT/VTT file, wants text or a script translated before generating a new avatar video, or wants ordinary TTS with a newly selected voice.MediaFără avertismente★ 1 K↓ —
- ap-synthesizerSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-roadmap-author`; this retired role cannot perform new work.PlanificareFără avertismente★ 1,2 K↓ —
- ap-depth-proberSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-worker`; this retired role cannot perform new work.AlteleFără avertismente★ 1,2 K↓ —
- rpihashgraph-online/awesome-codex-pluginsDrive one accepted change through implementation and checks to done, with one fresh review only where a mistake is costly. Use when: asked to run or orchestrate work through RPI.InginerieFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- git-worktree-manageralirezarezvani/claude-skillsUse when running several branches or agents in parallel on one repo. Creates worktrees with isolated ports and env via worktree_manager.py and removes stale ones with worktree_cleanup.py.InginerieFără avertismente★ 29,3 K↓ —
- ap-goal-checkerSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-independent-checker`; this retired role cannot perform new work.AlteleFără avertismente★ 1,2 K↓ —
- ap-roadmap-scoutSpielewoy/autoprompt-skillAnswer one named planning question with observations tied to the inspected sources; do not write or coordinate the roadmap.PlanificareFără avertismente★ 1,2 K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OficialMediaFără avertismente★ 11,3 K↓ —
- shipevo-hq/evoLand the winning experiment from an evo run as a clean, mergeable change -- open a PR when the repo has a remote, otherwise merge into the working branch. Distills the best-scoring experiment down to the minimal diff that reproduces its behaviour, shaped for the qualities a maintainer merges on (scope discipline, test integrity, style adherence), then attaches an advisory mergeability report. Use when the user invokes /evo:ship, asks to land/merge/ship the best result, or wants to turn a finished optimization into a pull request.TestareFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- product-helpChatCut-Inc/agent-pluginAnswer current ChatCut product questions using the latest official Docs, Releases, and Changelog. Use for how ChatCut works; UI layout, buttons, and feature instructions; troubleshooting; feature or fix availability on Web, Desktop, or Agent Plugin and minimum version requirements; credits including costs, balance, usage history, validity, or recent charges; plans, subscriptions, renewals, ChatCut Pro, pricing, card or Alipay (支付宝) payments, and billing; Desktop downloads; Agent Plugin installation or updates for Codex and Claude Code; and manual GUI guidance when an action cannot be completed directly. NOT for live project, asset, timeline, or item state; use the matching read tool instead.DesignFără avertismente★ 1 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↓ —
- 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↓ —
- promotion-planmohitagw15856/pm-claude-skillsPlan a sale or promotion that drives revenue without wrecking margin. Use when asked to plan a promotion, a discount/sale campaign, a BFCM/holiday promo, or a product launch offer. Produces a promo plan — objective, the offer mechanic, margin math, audience & channels, timing, messaging, and how you'll measure it — so the discount is a strategy, not a reflex.PlanificareFără avertismente★ 1,5 K↓ —
- performance-profileralirezarezvani/claude-skillsUse for a slow endpoint, memory leak, CPU spike, large bundle or performance budget in Node.js, Python or Go, before optimizing. Measures before and after with performance_profiler.py, flamegraphs and k6 load tests.TestareFără avertismente★ 29,3 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↓ —
- http-api-cloudbaseActualizatTencentCloudBase/CloudBase-AI-ToolkitCloudBase official HTTP API client guide. This skill should be used when backends, scripts, or non-SDK clients must call CloudBase platform APIs over raw HTTP instead of using a platform SDK or MCP management tool.InginerieFără avertismente★ 1,2 K↓ —Apare și în 4 alte depozite
- 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↓ —
- idea-stormmohitagw15856/pm-claude-skillsGenerate a big, wide spread of ideas for anything by running the prompt through many different lenses at once, then clustering and picking. Use when asked to brainstorm ideas for, give me lots of options, help me come up with, or I need ideas for. Produces a high-volume, deliberately varied idea list generated across multiple angles (safe, wild, cheap, ambitious, weird, opposite), grouped into themes, and a shortlist of the most promising — maximizing range so you're not choosing from three obvious options.PlanificareFără avertismente★ 1,5 K↓ —
popup-generator
kostja94/marketing-skills
AlteleActualizat ieri
De la autor
Deprecated compatibility entry for Modal construction. This component is now maintained in Bricks; install and use component-builder to build a new Modal.
Instalare
npx skills add kostja94/marketing-skills --skill popup-generator -a claude-code
Se instalează în .claude/skills/popup-generator/ · 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: MIT
Verificări de siguranță pe SKILL.md
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De ce 88
Securitate100
Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (1)
- SKILL.md