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.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 15 ore
49.492 de skill-uri
- 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↓ —
- youtube-seokostja94/marketing-skillsWhen the user wants to optimize YouTube videos for search, create video descriptions, or improve channel visibility. Also use when the user mentions "YouTube SEO," "YouTube description," "YouTube tags," "YouTube thumbnail," "YouTube title," "YouTube channel," or "video SEO." For YouTube ads, use youtube-ads.MarketingFără avertismente★ 1,1 K↓ —
- pnas-writingbrycewang-stanford/Awesome-Journal-SkillsUse to structure a PNAS main text and hold its length — Title, Significance Statement, Abstract, Introduction, Results, Discussion, in-text Materials and Methods, references — and to choose the required Classification (Biological/Physical/Social Sciences + minor subject) and keywords at submission.RedactareFără avertismente★ 1,4 K↓ —
- write-outreach-outreach-qagooseworks-ai/goose-skillsStep of the write-outreach playbook: the checks a finished outreach pack and send file must pass before delivery, covering facts, proof, compliance, length, asks and tone. Run write-outreach instead; not for direct use.TestareFără avertismente★ 1,3 K↓ —
- e2e-testinghashgraph-online/awesome-codex-pluginsPlaywright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.TestareFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- cav-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a CAV (Computer Aided Verification) submission for portal readiness, covering the four submission categories (Regular / Short Tool / Short Application / Industrial Experience & Case Studies), the LNCS page limits, the per-category anonymization matrix, the artifact-intent declaration, and desk-reject triage before the AoE paper deadline.ȘtiințăFără avertismente★ 1,4 K↓ —
- audit-decisionsdzhng/skillsAudit the decisions an implementing agent made, not its diff — a pure audit that traces the session's history into a decisions ledger, changes no code, and never blocks an unsupervised run. Working code still embeds architecture the user never chose; surface it because future work inherits it. Use when the user wants to review the decisions the AI made on their behalf, before merging or committing AI-implemented work, when integrating a delegated subagent's pass, or when a fix "works" but might be a point fix.PlanificareFără avertismente★ 1,4 K↓ —
- oma-searchfirst-fluke/oh-my-agentFind external documentation, web sources, or remote code with citations. Local code navigation uses the configured code tools.InginerieFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- jama-scope-fitbrycewang-stanford/Awesome-Journal-SkillsUse when judging whether a clinical study clears JAMA's general-medical-importance bar before investing in a full submission. Assesses fit and article-type match; it does NOT design the study or write the paper.DesignFără avertismente★ 1,4 K↓ —
- the-strong-nomohitagw15856/pm-claude-skillsFind the real reason to NOT do the exciting thing you're about to commit to — the honest case against, before the excitement carries you in. Use when asked talk me out of this, should I really do this, what's the case against, or I'm excited but is this a mistake. Produces the strongest honest argument for not doing it, the excitement biases clouding your judgment, the specific conditions under which this is a bad idea for you, and a clear read on whether the strong no actually wins — protecting you from the plans that feel great and end badly.PlanificareFără avertismente★ 1,5 K↓ —
- review-animationsAgentWorkforce/relayReviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.InginerieFără avertismente★ 1,1 K↓ —
- cav-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing a CAV (Computer Aided Verification) empirical evaluation, covering standard benchmark sets (SV-COMP/SMT-COMP/HWMCC/VNN-COMP), fair baseline solvers with pinned versions and equal resource limits, timeout-dominated comparisons, soundness cross-checks and proof witnesses, cactus/scatter reporting, and matching evidence to the shape of each verification claim.AlteleFără avertismente★ 1,4 K↓ —
- sci-framingbrycewang-stanford/Awesome-Journal-SkillsUse when locking the conceptual advance and the "why now" before drafting for Science (AAAS) — converts a correct result into a Science-shaped narrative that leads with the broad advance rather than the background, and seeds the title, abstract, and cover letter.ȘtiințăFără avertismente★ 1,4 K↓ —
- aaai-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an AAAI main technical track submission for OpenReview readiness, double-blind anonymity, page limits, reproducibility checklist, supplementary material, author limits, multiple-submission policy, and AAAI AI-use policy compliance.JuridicFără avertismente★ 1,4 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↓ —
- fse-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ESEC/FSE empirical evaluations, covering real subject systems, fair baselines, SE-standard statistics and effect sizes, qualitative and mixed-methods rigor, contamination-aware LLM ablations, provenance for mining studies, and matching evidence to the shape of each software-engineering claim.AlteleFără avertismente★ 1,4 K↓ —
- sci-writingbrycewang-stanford/Awesome-Journal-SkillsUse when choosing the Science (AAAS) format (Research Article vs Report) and holding its length and structure budgets — main-text word caps, figure caps, argument-ordered Results, and deciding what belongs in the main text versus Supplementary Materials.RedactareFără avertismente★ 1,4 K↓ —
- commercial-forecasteralirezarezvani/claude-skillsUse when building a bookings, ARR, pipeline or NRR forecast, or a commit, best-case and pipeline board number. Forecasts with bookings_forecaster.py, projects cohorts with cohort_arr_projector.py and scores stage confidence with funnel_confidence_scorer.py, showing every conversion assumption.MarketingFără avertismente★ 29,3 K↓ —
- openspec-apply-changeMemeMeow-Studio/MemeMeowImplement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.ProductivitateFără avertismente★ 1,3 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↓ —
- sci-figuresbrycewang-stanford/Awesome-Journal-SkillsUse to finalize Science display items — panel/word budget, column-width sizing, minimum font sizes, color-accessibility, and showing the data (points over bars). Enforces figure rigor before submission.ȘtiințăFără avertismente★ 1,4 K↓ —
- kdd-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical section of a KDD paper, where evidence combines quality deltas with scalability and efficiency measurements, temporal-leakage-safe splits, mechanism-isolating ablations, tuning-symmetric baselines, and, for the ADS track, post-launch measurement design that survives the desk check.DesignFără avertismente★ 1,4 K↓ —
- nejm-reportingbrycewang-stanford/Awesome-Journal-SkillsUse to select and enforce the correct EQUATOR reporting guideline for a clinical study headed to NEJM — CONSORT for RCTs (with the participant flow diagram), STROBE for observational, PRISMA for systematic reviews — and to build the required checklist and diagram before submission.ȘtiințăFără avertismente★ 1,4 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↓ —
eval-report
agentscope-ai/OpenJudge
ProductivitateActualizat alaltăieri
De la autor
Use when the user has run multiple evaluation skills and wants a comprehensive analysis — maturity assessment, cross-skill signals, trends, prioritized actions, and an executive summary. Also use when the user mentions eval health check, evaluation audit, ship readiness, evaluation maturity, or "how good is my evaluation system itself." This is a read-only analysis skill.
Instalare
npx skills add agentscope-ai/OpenJudge --skill eval-report -a claude-code
Se instalează în .claude/skills/eval-report/ · 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
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De ce 88
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Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (1)
- SKILL.md