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.
47.891 de skill-uri din 2.309 depozite · actualizat acum 24 de minute
47.891 de skill-uri
- transformersforyourhealth111-pixel/Vibe-SkillsThis skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.MediaFără avertismente★ 3,8 K↓ —
- golang-data-structuressamber/cc-skills-golangGolang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when choosing or optimizing Go data structures, implementing generic containers, using container/ packages, unsafe or weak pointers, or questioning slice/map internals. Not for applying optimization patterns once profiling has identified a bottleneck (→ See `samber/cc-skills-golang@golang-performance` skill).MarketingFără avertismente★ 3,7 K↓ —
- golang-samber-oopssamber/cc-skills-golangStructured error handling in Golang with samber/oops — error builders, stack traces, error codes, error context, error wrapping, error attributes, user-facing vs developer messages, panic recovery, and logger integration. Apply when using or adopting samber/oops, or when the codebase already imports github.com/samber/oops.ProductivitateFără avertismente★ 3,7 K↓ —
- gsd:inboxdavepoon/buildwithclaudeTriage and review all open GitHub issues and PRs against project templates and contribution guidelinesInginerieFără avertismente★ 3,7 K↓ —
- principle-exhaust-the-design-spacemichael-denyer/pstack-claudeApply when facing a novel UI interaction or architectural decision with no precedent in the codebase. Build 2-3 competing prototypes and compare side by side before committing.DesignFără avertismente★ 3,7 K↓ —
- whybacknotprop/pstackUse for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.DevOpsFără avertismente★ 3,2 K↓ —
- requesting-code-reviewforyourhealth111-pixel/Vibe-SkillsPrepare and request a code review after implementation or before merge by assembling scope, requirements, git range, and reviewer instructions.InginerieFără avertismente★ 3,8 K↓ —
- tao-launch-workflowNVIDIA/skillsThe mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action. Invoke BEFORE launching anything side-effecting — AutoML, train, evaluate, inference, export, TensorRT engine generation, or DEFT/application workflows — on any execution platform. Covers platform selection, credentials, image confirmation, dataset intake, preflight, the launch review, job records, monitoring, and failure/retry classification. Trigger phrases include "train this model", "run AutoML", "launch on SLURM/docker/k8s/brev/virtualenv", "evaluate my checkpoint", "start a TAO job".ProductivitateFără avertismente★ 3,8 K↓ —
- skill-seo-qualityZJU-REAL/Easel平台原生搜索流量优化：把内容做成能被平台搜索到的样子。 校验并优化标题/正文关键词布局、话题标签搜索权重、封面/首帧文字关键词、 搜索流量 vs 推荐流量的取舍。覆盖小红书、抖音、知乎、公众号、B站、微博。 当用户说"SEO 检查"、"搜索优化"、"关键词布局"、"搜不到我的内容"、 "怎么被搜到"、"话题标签怎么选"、"搜一搜优化"、"发布前校验"时使用。 网页/博客的 Meta/OG/Slug/E-E-A-T 校验作为可选模式保留（见 references）。MarketingFără avertismente★ 4,2 K↓ —
- tao-train-reidNVIDIA/skillsPerson re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person re-identification model. Trigger phrases include "train ReID", "person re-identification", "cross-camera person matching", "ReID embeddings", "person re-id".AlteleFără avertismente★ 3,8 K↓ —
- baoyu-wechat-summaryJimLiu/baoyu-skillsSummarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.ProductivitateFără avertismente★ 27,1 K↓ —
- ketchup-videoNoumichael-denyer/pstack-claudeCatch the user up like /ketchup, with a short subtitled video of slides for what happened and the waiting calls as text under it. Use for /ketchup-video.MediaFără avertismente★ 3,7 K↓ —
- share-of-voice-trackeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "track our share of voice", "what share of the conversation do we own vs competitors", or "trend our SOV this quarter"; computes SOV% = brand mentions ÷ (brand + competitor panel mentions) per platform per period on a LOCKED competitor panel — a panel switch invalidates the trend (restart the series and log the break; the ECHO O3 rule) — plus a sentiment-weighted SOV variant (sentiment labeled Estimated unless human-coded) and a Wikipedia-pageviews attention-share alternative; built from keyless listening connectors, gdelt.py news echo, and user exports — public counts only, closed platforms are never scraped. Not for backlink or offsite SEO signals — use offsite-signal-analyzer. 声量份额/竞品声量对比/提及份额/注意力份额BrowserFără avertismente★ 3 K↓ —
- validate-bugtrailofbits/skillsUse when a bug PoC package needs an independent rerun and judgment before patching.AlteleFără avertismente★ 7,9 K↓ —
- clerkclerk/skillsClerk authentication router. Use when user asks about Clerk CLI operations, adding authentication, setting up Clerk, custom sign-in flows, Swift or native iOS auth, native Android auth, Next.js patterns, React patterns, Vue patterns, Nuxt patterns, Astro patterns, TanStack Start patterns, Expo patterns, React Router patterns, Chrome Extension patterns, organizations, billing, subscriptions, payments, pricing, plans, seat-based pricing, feature entitlements, syncing users, testing, impersonating a user, or testing webhooks locally. Automatically routes to the specific skill based on their task.OficialTestareFără avertismente★ 89↓ —
- miro-automationdavepoon/buildwithclaudeAutomate Miro tasks via Rube MCP (Composio): boards, items, sticky notes, frames, sharing, connectors. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- tao-train-mask-auto-labelNVIDIA/skillsMAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations (point or box annotations) using a ViT-MAE backbone. Use when training, evaluating, or running inference for a TAO MAL model. Trigger phrases include "train MAL", "Mask Auto-Label", "weakly-supervised segmentation", "box-prompted segmentation", "minimal-annotation mask prediction".AlteleFără avertismente★ 3,8 K↓ —
- offensive-fuzzingSnailSploit/Claude-RedPractical offensive fuzzing methodology covering target identification, fuzzer selection (AFL++, libFuzzer, Honggfuzz, Boofuzz, syzkaller), harness writing, corpus curation, mutation strategies, coverage measurement, and crash triage. Use when setting up or running fuzz campaigns against any target: file parsers, network protocols, kernel drivers, EDR engines, embedded firmware, or language runtimes.RedactareFără avertismente★ 9,9 K↓ —
- gsd:spikedavepoon/buildwithclaudeSpike an idea through experiential exploration, or propose what to spike next (frontier mode)AlteleFără avertismente★ 3,7 K↓ —
- physicsnemo-discoverNVIDIA/skillsOfficial NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation or environment setup, training-loop or other code authoring/scaffolding, contributor/CI/packaging questions, repo-specific questions in physicsnemo-sym/-cfd/-curator, or general (non-physics) ML/PyTorch.ȘtiințăFără avertismente★ 3,8 K↓ —
- clari-rate-limitsjeremylongshore/tons-of-skills-marketplaceAnalyze and schedule Clari exports, ingestion jobs, and Copilot reads within provider concurrency and quota controls. Use when preventing 429 responses or coordinating workers. Trigger with: "handle Clari rate limits", "schedule Clari jobs", "recover from Clari 429".AlteleFără avertismente★ 2,9 K↓ —
- yaml-masterjeremylongshore/tons-of-skills-marketplaceExecute proactive YAML intelligence: automatically activates when working with YAML files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.ProductivitateFără avertismente★ 2,9 K↓ —
- figma-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Figma API usage to minimize costs and stay within plan limits. Use when analyzing request volumes, reducing unnecessary API calls, or choosing the right Figma plan for your integration needs. Trigger with phrases like "figma cost", "figma pricing", "reduce figma API calls", "figma plan limits", "figma budget".DesignFără avertismente★ 2,9 K↓ —
- figma-install-authjeremylongshore/tons-of-skills-marketplaceSet up Figma REST API authentication with personal access tokens or OAuth 2.0. Use when connecting to the Figma API, generating tokens, configuring scopes, or setting up OAuth flows for Figma integrations. Trigger with phrases like "install figma", "setup figma API", "figma auth", "figma personal access token", "figma OAuth".DesignFără avertismente★ 2,9 K↓ —
nemo-fabric-build-adapter
NVIDIA/skills
JuridicActualizat acum 16 ore
De la autor
Build, migrate, review, and maintain third-party NVIDIA NeMo Fabric adapters against the public adapter contract. Use when creating adapter or target descriptors, mapping AgentConfig into an agent harness or custom-agent runtime, implementing start/invoke/stop, declaring schemas and capabilities, packaging discovery metadata, or assessing adapter conformance. Do not use for consumer applications that only call the NVIDIA NeMo Fabric SDK.
Instalare
npx skills add NVIDIA/skills --skill nemo-fabric-build-adapter -a claude-code
Se instalează în .claude/skills/nemo-fabric-build-adapter/ · 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 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (6)
- BENCHMARK.md
- SKILL.md
- agents/openai.yaml
- evals/evals.json
- skill-card.md
- skill.oms.sig