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.
49.361 de skill-uri din 2.397 de depozite · actualizat acum 9 minute
49.361 de skill-uri
- 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↓ —
- health-checkhoangsonww/Claude-Code-Agent-MonitorRun comprehensive health checks on the Claude Code Agent Monitor system. Validates dashboard API, database, WebSocket, hooks, and disk usage. Use to verify the monitoring setup is working correctly.DateFără avertismente★ 1,1 K↓ —
- a-philosophy-of-software-designciembor/agent-rules-booksApply John Ousterhout-inspired software design rules when reducing complexity, designing module boundaries, or reviewing APIs and abstractions.DesignFără avertismente★ 3,2 K↓ —
- multi-domain-brand-seokostja94/marketing-skillsWhen the user wants to optimize brand search for a company with multiple domains (e.g. parent company.com vs product.ai). Ensure the parent/company domain ranks first for brand queries. Also use when the user mentions "brand search," "multi-domain SEO," "company domain first," "parent vs product domain," "hub-spoke domain," "brand SERP control," or "differentiate company and product domains." For domain structure, use domain-architecture.MarketingFără avertismente★ 1,1 K↓ —
- researchalirezarezvani/claude-skillsUse for any research request that doesn't clearly match a research specialist ('research X', 'look into Y'). Routes with classifier.py to pulse, grants, litreview, syllabus, patent, dossier or deepread, or runs its own cited search.ȘtiințăFără 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↓ —
- discovertaishi-i/awesome-japanese-nlp-resourcesGiven a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.ȘtiințăFără avertismente★ 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↓ —
- holoscan-install-debianNVIDIA/skillsInstall Holoscan SDK 5.x native C++ Debian packages on Ubuntu 24.04, choosing the full SDK or matching modular packages.AlteleFără avertismente★ 3,9 K↓ —
- comparetaishi-i/awesome-japanese-nlp-resourcesCompare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.MediaFără avertismente★ 1 K↓ —
- working-effectively-with-legacy-codeciembor/agent-rules-booksApply Michael Feathers-inspired legacy-code rules when changing hard-to-test code safely with characterization tests, seams, sprout methods, or wrap methods.InginerieFără avertismente★ 3,2 K↓ —
- gateway-workersfcakyon/claude-codex-settingsBuild, debug, or review Cloudflare Workers invoked by the Forward action in Gateway HTTP policies, including the GatewayMiddleware entrypoint, Gateway types, context, and continuation.DevOpsFără avertismente★ 1,2 K↓ —
- building-livekit-agentsfcakyon/claude-codex-settingsBuilds voice and chat AI agents with LiveKit Agents on LiveKit Cloud or a self-hosted server. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI to my app", "implement handoffs", "structure an agent workflow", "my agent is slow / too chatty", "it says it booked but nothing was saved", "make it confirm before committing", "it keeps re-asking things the caller already said", or is writing code against the LiveKit Agents SDK. Covers architecture: designing for latency, keeping context small, splitting a monolithic agent into handoffs and tasks, and designing for voice. Also covers keeping the model in charge of meaning while code owns state, approvals, and effects. For API specifics use reading-livekit-docs. To check behavior use debugging-livekit-agents and testing-livekit-agents.TestareFără avertismente★ 1,2 K↓ —
- frugalNouhashgraph-online/awesome-codex-pluginsFind the cheapest honest way to get what the user wants before money is spent: free tiers, right-sized plans, annual billing, startup, student, open-source or nonprofit programs, verified promo codes, cashback, refurbished, price history, negotiation, and cheaper or open-source alternatives. Use whenever a task involves paying, even if the user did not ask to save: buying, ordering, subscribing, upgrading, renewing, adding seats, finding or booking flights and hotels, signing up for paid tools (including ones a video or tutorial recommends), choosing a paid SaaS, API, LLM model, cloud, hosting or domain, or when a pricing, billing, cart or checkout page is open. Also for: where to buy, cheaper way, promo code, coupon, discount, deal, too expensive, cut our bill, קופון, הנחה, יותר זול. Effort scales with the amount; never pays by itself.MediaFără avertismente★ 1,5 K↓ —
- debughashgraph-online/awesome-codex-pluginsUse for bugs, unexpected behavior, regressions, or failing tests you did not write.InginerieFără avertismente★ 1,5 K↓ —
- running-livekit-simulationsfcakyon/claude-codex-settingsRuns LiveKit agent simulations and acts on the results. Use when the user says "run my simulations", "regression test my agent before deploying", "run the scenarios", "use lk agent simulate", "did my agent pass", "why did this scenario fail", "run simulations in CI", "test the audio pipeline", "check turn-taking and interruptions", or wants to check whole-conversation behavior before shipping. Covers text and audio mode and what each catches, running against a local or deployed agent, degraded-audio flags, automating a pre-release run, and triaging failures with list, view and export. For writing the scenarios use writing-livekit-scenarios. Not the default for a bare "test my agent", which goes to debugging-livekit-agents. Use this skill when the user names simulations, scenarios, a run, CI, or shipping.TestareFără avertismente★ 1,2 K↓ —Apare și în 1 alt depozit
- meta-ads-analyzergooseworks-ai/goose-skillsDiagnose Meta Ads campaign performance and account gaps using Meta's actual system mechanics — including customer-journey coverage, Breakdown Effect, Learning Phase, Auction Overlap, Pacing, and Creative Fatigue. Use for performance diagnosis, account audits, full-funnel or TOF/MOF/BOF gap analysis, deciding what to test or create next, and producing novice-friendly recommendations without forcing every campaign or ad into a funnel stage.MarketingFără avertismente★ 1,3 K↓ —
- asc-build-lifecyclerorkai/app-store-connect-cli-skillsTrack build processing, find latest builds, and clean up old builds with asc. Use when managing build retention or waiting on processing.AlteleFără avertismente★ 1,1 K↓ —
- asc-signing-setuprorkai/app-store-connect-cli-skillsSet up bundle IDs, capabilities, signing certificates, provisioning profiles, and encrypted signing sync with the asc cli. Use when onboarding a new app, rotating signing assets, or sharing them across a team.InginerieFără avertismente★ 1,1 K↓ —
- researchtaishi-i/awesome-japanese-nlp-resourcesAnalyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.ȘtiințăFără avertismente★ 1 K↓ —
- verify-cli-runreticlehq/reticleProve that a command-line tool actually did what it said, instead of trusting its exit code and its output. Snapshots the filesystem before and after, names the expected consequence in advance, and returns one of four verdicts with what could not be seen. Use after running a build, a migration, a scaffolder, a formatter, a codegen step, or an AI coding CLI; when a command printed success and you are about to report "done"; when you are about to write "exit code 0, so it worked"; or when a tool claims it edited files. Needs nothing installed.InginerieFără avertismente★ 1,2 K↓ —
- oma-voicefirst-fluke/oh-my-agentGenerate or transcribe speech with Voicebox or VoiceStudio, or process existing audio locally. Use for narration, transcripts, timed speech, and loudness conversion; video editing uses oma-video.MediaFără avertismente★ 1,4 K↓ —
- kinetic-type-artNouhashgraph-online/awesome-codex-pluginsSeventeen art-directed kinetic typography templates with exact presets: typeface strobe (one word through nine faces), one-word-per-beat slams, word corridor tunnel, perspective photo wall, type specimen grid, justified manifesto, Didone city title, scanned-sheet glitch wordmark, hyphen bridge wordmark, CRT decrypt, particle burst, anime command screen, photocopy explainer, echo stack over a halftone portrait, glyph-tracking terminal camera, bitten word and liquid art reveal. Presets cover beat maths (frames per beat), letter-spacing, free font pairings for Didone, condensed, grotesk and mono looks, riso and paper palettes in hex, 3D camera values and seeded glitch timing, from Art of the Title, Practical Typography, Fonts In Use and motion designers on X. Use when someone wants a kinetic type intro, a manifesto or lyric-style type piece, a wordmark animation or a typographic poster in motion. NOT for subtitles (caption-styles) or broadcast lower thirds (title-design).DesignFără avertismente★ 1,5 K↓ —
- ultralytics-brandingfcakyon/claude-codex-settingsThis skill should be used when creating Ultralytics-branded content of any kind, including PDF, PPTX, Canva, or Google Slides presentations, DOCX documents, marketing or newsletter HTML emails, social media post copy or visuals, website or landing page designs, and dataset or model result visuals. Provides official colors, typography, logo rules, naming rules, and tone of voice from ultralytics.com/brand.DocumenteFără avertismente★ 1,2 K↓ —
oma-image
first-fluke/oh-my-agent
De la autor
Generate raster images or reference-guided variations through the OMA image CLI. Use for image assets or explicit vendor comparisons; pixel editing uses an editor.
Instalare
npx skills add first-fluke/oh-my-agent --skill oma-image -a claude-code
Se instalează în .claude/skills/oma-image/ · 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
Verificări de siguranță pe SKILL.md
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De ce 88
Fișiere (7)
- SKILL.md
- config/image-config.yaml
- resources/checklist.md
- resources/execution-protocol.md
- resources/invocation.md
- resources/prompt-tips.md
- resources/vendor-matrix.md