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.
48.168 de skill-uri din 2.325 de depozite · actualizat acum 6 ore
47.055 de skill-uri
- pnas-trackbrycewang-stanford/Awesome-Journal-SkillsUse to choose the PNAS submission track — Direct Submission (standard, editor-assigned, peer reviewed) vs Contributed Submission (an NAS member communicates their own paper). Covers eligibility, the editor/member role, the discontinued and legacy tracks, and how to pick. Unique to PNAS.ȘtiințăFără avertismente★ 1,3 K↓ —
- pnas-databrycewang-stanford/Awesome-Journal-SkillsUse to build PNAS's Data Availability Statement and deposition plan — mandatory deposition of data in an approved repository at submission, accession numbers/DOIs, public + archived code, and materials sharing. "Available on request" is not sufficient for primary data.PlanificareFără avertismente★ 1,3 K↓ —
- agentlas-callagentlas-ai/Agentlas-OSPrepare explicitly named Agentlas Hub or Cloud agents.AlteleFără avertismente★ 1,6 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★ 11,2 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★ 11,2 K↓ —
- run-taskhashgraph-online/awesome-codex-pluginsExecute a single Todo task through In Progress to Review, meeting every acceptance criterion with tests and vibe-lint checks. Refuses Planning-status tasks. Invoked as /agiflow:run-task <task>. Uses get_task, update_task, create_task_comment.ProductivitateFără avertismente★ 1,5 K↓ —
- ophis-swaphashgraph-online/awesome-codex-pluginsUse when the user wants to swap, trade, buy, sell, or convert tokens onchain, get a best-execution swap quote, compare a swap against DEX aggregators, or read wallet balances, token prices, gas, or fee-rebate tiers. Drives Ophis, an intent-based DEX (a CoW Protocol deployment) that is MEV-protected, gasless for the trader, and keyless. Supports Ethereum, Optimism, Base, Arbitrum, Polygon, BNB, Gnosis, Unichain, Avalanche, Plasma, Ink, and Linea.DevOpsFără avertismente★ 1,5 K↓ —
- acl-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACL project calendar across ACL Rolling Review cycles, covering cycle selection against conference commitment windows, backward planning from an ARR deadline, the review-response-meta-review timeline, commitment decisions, resubmission loops to later cycles, and camera-ready through ACL Anthology publication.ProductivitateFără avertismente★ 1,3 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★ 11,2 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★ 11,2 K↓ —
- 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★ 11,2 K↓ —
- agentlas-buildagentlas-ai/Agentlas-OSUse when the user types /agentlas-build, /agentlas build, or /hep-build to design, build, and package a single agent or multi-agent team.DesignFără avertismente★ 1,6 K↓ —
- running-github-actions-efficientlykajisho5/ffmpeg-skillCut GitHub Actions minutes and wall-clock time without losing coverage — the OS billing multiplier (macOS 10x / Windows 2x / Linux 1x), trigger hygiene that stops push+pull_request double-firing, concurrency that cancels superseded runs, dependency caching keyed on lockfiles, matrix discipline, and auditing scheduled crons that bill 24/7. Use when CI is burning included minutes, when runs feel slow, when setting up a new repo's workflows, or when reviewing an existing workflow for waste.DevOpsFără avertismente★ 4,1 K↓ —
- hn-digestmohitagw15856/pm-claude-skillsPull the current Hacker News front page, top comments, or a topic search with zero API keys — the official Firebase API and Algolia search via curl, digested instead of dumped. Use when asked what's on Hacker News, summarize HN today, what's the discussion on this story, or has HN covered some topic. Produces a ranked digest with scores and comment counts, the discussion's actual argument threads when asked, and the rerunnable commands.InginerieFără avertismente★ 1,5 K↓ —
- rag-architectalirezarezvani/claude-skillsUse when designing a RAG pipeline, choosing chunk size, embedding model or vector database, or measuring retrieval quality (precision@k, recall@k, NDCG). Gives sized recommendations and an evaluation plan against ground truth.PlanificareFără avertismente★ 29,1 K↓ —
- qbr-deckmohitagw15856/pm-claude-skillsBuild a Quarterly Business Review (QBR) deck structure and narrative for a customer account. Use when asked to prepare a QBR, business review meeting, executive review, or quarterly check-in with a customer. Produces a slide-by-slide QBR structure with talking points, metrics review, value narrative, and mutual next steps.DocumenteFără avertismente★ 1,5 K↓ —
- md-documentalirezarezvani/claude-skillsUse when converting long-form markdown (spec, RFC, report, plan) into a single-file HTML page with sticky TOC, search and code-copy. Parses with markdown_parser.py and renders with html_renderer.py using the design-system brand.DesignFără avertismente★ 29,1 K↓ —
- one-pagermohitagw15856/pm-claude-skillsDistil anything — a startup, product, project, or idea — into a single persuasive page. Use when asked to make a one-pager, a one-page summary, a leave-behind, a startup/product one-sheet, or a tl;dr brief. Produces a structured single page — headline + tagline, the problem, the solution, why-now/proof, and a clear ask/CTA — designed to be skimmed and remembered, ready to export as a typeset PDF.DocumenteFără avertismente★ 1,5 K↓ —
- travel-briefmohitagw15856/pm-claude-skillsTurn a business trip into a one-page brief that runs itself — the itinerary with buffers and failure modes, the meeting logistics pre-solved (addresses, contacts, backup numbers), the packing-and-prep list by trip type, and the expense capture set up before departure. Use when asked prep my business trip, build the travel brief, I always forget something when traveling, or organize this three-city week. Produces the one-page brief: timeline with buffers, the per-meeting logistics, the contingency card, and the expense setup.AlteleFără avertismente★ 1,5 K↓ —
- marketing-guidegooseworks-ai/goose-skillsHow every GooseWorks marketing playbook runs: connecting, picking the brand, where files go, the shared claims, money, research and schedule rules, and the index of what each playbook saves and who reads it. Load at the start of any playbook run. Not a marketer ask: for "what should I do first?" use where-to-start.MarketingFără avertismente★ 1,3 K↓ —
- cover-lettermohitagw15856/pm-claude-skillsWrite a specific, non-generic cover letter that connects your evidence to the role. Use when asked to write a cover letter, an application letter, or a note to accompany a resume. Produces a tight 3–4 paragraph letter — a real hook, two evidence paragraphs mapping your proof to the job's needs, and a confident close — tailored to the company, ready to export as a designed PDF.DocumenteFără avertismente★ 1,5 K↓ —
- validatehashgraph-online/awesome-codex-pluginsRun the profile-aware DocFlow documentation readiness gate. Always blocks broken links, stale maps, and missing headings; applies native naming and section rules strictly to new scaffolds while treating established adopted structures as cleanup guidance.AlteleFără avertismente★ 1,5 K↓ —
- yc-readerhimself65/finance-skillsLook up Y Combinator companies and batches from the public yc-oss API, a static JSON dataset refreshed daily: company profiles, batch rosters (e.g. W25, S24), companies by industry or tag, top companies, who is hiring, founder-diversity lists, and overall YC stats. Use this skill whenever the user asks about YC-backed startups, a YC batch, YC companies in a sector or tag or that are hiring, the Y Combinator portfolio, or startup and venture research that draws on YC data. Read-only.ȘtiințăFără avertismente★ 3,5 K↓ —
- checkhashgraph-online/awesome-codex-pluginsFriendly docflow readiness check: one status, one reason, and the exact next command. Use when asked if docflow is set up, ready, or "what do I do next".AlteleFără avertismente★ 1,5 K↓ —
doc-freshness-review
TencentCloudBase/CloudBase-AI-Toolkit
InginerieActualizat acum 8 ore
De la autor
Use when auditing repository documentation for drift, stale statements, broken references, or README mismatches, especially across published docs under `doc/` and key entry surfaces such as `README.md` (English default), `README.zh-CN.md`, `mcp/README.md`, and `mcp/README.zh-CN.md` during periodic maintenance or before preparing corrective PRs.
Instalare
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill doc-freshness-review -a claude-code
Se instalează în .claude/skills/doc-freshness-review/ · 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: MIT
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 88
Securitate100
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (2)
- SKILL.md
- references/review-scope.md