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.
49.104 skill-uri din 2.358 de depozite · actualizat acum 7 minute
17.420 de skill-uri
- git-analyzeralibaba/skill-upAnalyzes git repositories and commit historyInginerieFără avertismente★ 1,4 K↓ —
- code-quality-revieweralibaba/skill-upReviews code and provides detailed quality assessmentInginerieFără avertismente★ 1,4 K↓ —
- connect-required-verification-informationfcakyon/claude-codex-settingsUse this skill when the user asks what information a Stripe Connect connected account must provide for verification, onboarding, KYC, or account requirements; when they need to compare requirements between connected-account setups; or when they ask which verification fields, documents, or business details are required for a particular platform country, account country, business type, dashboard, service agreement, or capability.PlanificareFără avertismente★ 1,2 K↓ —
- terminal-replicahuytieu/COG-second-brainReproduce your real terminal and CLI agents (Claude Code, Codex, Gemini CLI) faithfully in graphics and video framesMediaFără avertismente★ 1,3 K↓ —
- debug-flowmicrosoft/power-platform-skillsDebug a failed Power Automate flow run. Use when a flow failed, has errors, or the user wants to troubleshoot a run. If the flow has no runs, says so plainly instead of guessing a cause.InginerieFără avertismente★ 1,1 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↓ —
- release-commshuytieu/COG-second-brainTurn a deployment runsheet and a GitHub milestone into a customer release note with real media, docs updates, and a Slack announcement draftDevOpsFără avertismente★ 1,3 K↓ —
- verify-language-switchreticlehq/reticleProve a language switch translates what the user sees, keeps what they had already typed, and is still in force after a reload. Use when i18n, a locale picker, a language menu or translation files were added or changed, when a string is suspected of staying in the old language or showing a raw translation key, or when a user reports losing their form or their language choice after switching or refreshing.AlteleFără avertismente★ 1,3 K↓ —
- editorial-illustrationshuytieu/COG-second-brainGenerate meaning-carrying editorial data-illustrations in the monotykamary / Linear aesthetic (near-black grayscale, Inter display + mono labels, hairline framed figures) with a single coral accent. This is a GENERATIVE GUIDE, not a template gallery: it teaches the "claim -> geometry" method so any session can invent the RIGHT figure for what a post actually argues, then render it as a self-contained, theme-aware, reduced-motion-safe HTML/SVG figure. Use when writing/illustrating a blog post, essay, spec, or slide and you want a chart, diagram, or illustration that carries a thesis (not decoration) in the house style. Triggers: "make a chart/diagram/illustration for this", "visualize this argument", "monotykamary/Linear style figure", "editorial graphic".MediaFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- 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↓ —
- product-ui-tastehuytieu/COG-second-brainAnti-slop skill for PRODUCT UI - dashboards, data tables, forms, multi-step flows, settings, list/detail, app shells. The agent reads the surface, budgets the frame first, and ships dense interfaces that are correct at every edge case (overflow, long labels, empty/error/loading states, i18n expansion, keyboard/a11y). House-system-first; maps to Carbon/Polaris/Atlaskit/Fluent/Primer/Material3/Radix-shadcn/Ant. The counterpart to taste-skill, which owns landing/portfolio/marketing.DesignFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- blog-publishhuytieu/COG-second-brainWrite and publish a post to your own static blog end to end: content checklist (embedded links, optional TL;DR), per-post ASCII art, an agent-readable markdown twin, deploy, and social distribution. Use when you say "write a blog post", "publish this to my blog", or "push this post to socials".RedactareFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- test-error-statesreticlehq/reticleForce the states a happy-path run never reaches (a failing API, an empty list, a slow request, a timeout, an expired session, a toast that auto-dismisses) and check the UI actually handles them. Use when error handling was written but never run, when a loading or empty state needs verifying, when a bug only happens on a slow connection, or when a timer, poll, debounce or retry needs testing without sleeping.TestareFără avertismente★ 1,3 K↓ —
- figma-implement-designopenai/skillsTranslates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions "implement design", "generate code", "implement component", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.OficialDesignFără avertismente★ 28,5 K↓ —
- form-croalirezarezvani/claude-skillsUse when a lead, contact, demo or checkout form is underperforming or being designed, before changing fields. Scores field friction with form_field_analyzer.py. Signup forms: signup-flow-cro.MarketingFără avertismente★ 29,2 K↓ —
- slo-architectalirezarezvani/claude-skillsUse when defining or reviewing SLOs, SLIs, error budgets or burn-rate alerts. Designs SLOs with slo_designer.py, computes budgets and multi-window burn-rate thresholds with error_budget_calculator.py and catches common SLO bugs with slo_review.py.PlanificareFără avertismente★ 29,2 K↓ —
- sales-engineeralirezarezvani/claude-skillsUse for pre-sales work: RFP coverage gaps, competitive feature matrices or planning and scoring a proof of concept. Runs rfp_response_analyzer.py, competitive_matrix_builder.py and poc_planner.py.PlanificareFără avertismente★ 29,2 K↓ —
- hivemindalirezarezvani/claude-skillsUse when delegating grunt work to free opencode workers instead of spending Claude tokens: one worker or a scout, coder and tester swarm in worktrees. Triggers on 'spawn a worker', 'swarm', 'delegate to opencode' or /oc.AlteleFără avertismente★ 29,2 K↓ —
- learn-from-materialsdmoshehun-prog/learn-from-materialsTurn books, PDFs, slides, documents, web pages and text into a source-grounded knowledge base, interactive learning HTML and Markdown in English or Chinese. Use for learning, summaries, explanations, review, quizzes, relationship maps, saving reusable methodology files, retrieving or comparing accumulated methods, and applying them to a real problem. 将材料转为可追溯知识库与交互学习页，支持中英文、关系图、方法论保存/检索/比较及应用；区分材料依据、推断与外部核验。DocumenteFără avertismente★ 1,2 K↓ —
- os-check-workkharmanskyi/open-stepsALWAYS invoke this skill when the user asks about work done outside this session - "check work", "check the others", "check other sessions" - or to accept one: "the session is done, check it", "can we merge it" - in any language. You are the receiving party: treat the report as a claim, verify each part against machine state, name every gap between claimed and true. Verified-ready work merges in the same pass. End with what is left, one next step, and any reply another session needs, ready to paste.AlteleFără avertismente★ 1,3 K↓ —
- os-step-by-stepkharmanskyi/open-stepsALWAYS invoke this skill when you need the user to act - run a command, paste a secret, click, approve - and whenever they ask how to do something or say they do not know what to do: "step by step", "walk me through it", "what do I do", "what should I do", "I don't understand what to do", "explain what I need to do", in any language. Picking which task comes next is os-whats-next; this skill is for doing the thing in front of you. First earn the ask: try it yourself, find another route, shrink it to the part only they can do. Then one action per step, commands labelled by what they touch, no jargon. Commands are single lines that prompt for any value - typing hidden for secrets - and confirm in plain words. Afterwards verify their step.ProductivitateFără avertismente★ 1,3 K↓ —
- jetson-optimize-memoryNVIDIA/skillsReclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.ProductivitateFără avertismente★ 3,8 K↓ —
- editorial-illustrationshuytieu/COG-second-brainSelf-evolving second brain with 35 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.MediaFără avertismente★ 1,3 K↓ —
- youtube-video-kithuytieu/COG-second-brainSelf-evolving second brain with 35 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.MediaFără avertismente★ 1,3 K↓ —
skill-lifecycle-promotion
agentlas-ai/Agentlas-OS
AlteleActualizat alaltăieri
De la autor
Use when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.
Instalare
npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a claude-code
Se instalează în .claude/skills/skill-lifecycle-promotion/ · 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
Niciun avertisment.
De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție52
Fișiere (1)
- SKILL.md