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.
49.409 skill-uri din 2.375 de depozite · actualizat acum 58 de minute
49.409 skill-uri
- openmeld-cliamplifthq/openmeldUse OpenMeld when a task needs Organization knowledge or Skills, Center Agent help, shared Spaces or Files, another Agent or computer, or scheduled cloud work. Also use for OpenMeld setup and Wake replies.InginerieFără avertismente★ 1,4 K↓ —
- scrapecreators-apigooseworks-ai/goose-skillsProvider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators. Use as a dependency of research workflows, not as the final user-facing deliverable.BrowserFără avertismente★ 1,3 K↓ —
- render-song-mvgooseworks-ai/goose-skillsAssemble a song-driven music-video ad from a config — a generated sung track carries the whole narration across N tableaux (one keyframe -> one i2v clip per lyric beat) with NO separate voiceover, captions synced to the song's OWN word timings (script-window, never Whisper) and the hook word landing on the chorus drop, closed on a PIL brand end card. This is the FREE deterministic assembly stage (clip cut-to-timeline + captions + end card + FFmpeg composite); the song, keyframes, and clips come from create-music-elevenlabs / create-image-fal / create-video-fal. Use for the song-driven-music-video format.MediaFără avertismente★ 1,3 K↓ —
- sno-mem-codexsno-ai/sno-stationUse Sno memory from Codex through four explicit commands.ProductivitateFără avertismente★ 1,1 K↓ —
- programmatic-seoalirezarezvani/claude-skillsUse when building many SEO pages from a template and data (location, integration, comparison or directory pages), before generating them. Designs URL patterns with url_pattern_generator.py and guards against thin-content penalties.MarketingFără avertismente★ 29,2 K↓ —
- minutes-ideassilverstein/minutesSurface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ȘtiințăFără avertismente★ 1,3 K↓ —
- email-triagemohitagw15856/pm-claude-skillsTriage a Gmail inbox down to only what needs you. Use when asked to triage email, clear an inbox, find what needs a reply, or summarise recent mail. Produces a prioritised list of items needing action — replies, decisions, follow-ups — for a configurable window (default last 8 hours), filtering out receipts, notifications, and newsletters.ProductivitateFără avertismente★ 1,5 K↓ —
- marketing-data-accessgooseworks-ai/goose-skillsHow to get live public data (ads libraries, social posts and comments, search results, creator profiles), business identity/work-contact reads, domain SEO metrics and paid media generation through GooseWorks, with no vendor key. Load before any playbook step that reads public data or calls an outside model: which proxy call fits the job, what it costs, how to get the human's yes, and what to do when the data is not reachable. Not for brand facts (read the brand brain) or the customer's own ad accounts (the GooseWorks ads tools, or an ads connector they have).MarketingFără avertismente★ 1,3 K↓ —
- planning-with-filesActualizatOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. This adapter registers no lifecycle or Stop hook, never requests continuation, and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- human-gatealirezarezvani/claude-skillsUse before shipping anything that needs human sign-off (a plan, spec, report, page, migration or irreversible action). Builds a review page with review_page_builder.py and runs human_gate.py, which refuses to close with an open blocker or no named reviewer.PlanificareFără avertismente★ 29,2 K↓ —
- mdr-745-specialistalirezarezvani/claude-skillsUse for EU MDR 2017/745 work: device classification under Annex VIII, technical file gaps (Annex II/III), clinical evaluation, PMS and PSUR cadence, notified body prep. Checks the file with mdr_gap_analyzer.py.PlanificareFără avertismente★ 29,2 K↓ —
- fire-your-seo-agencyActualizatleopard627/fire-your-seo-agencySEO·AEO·GEO·LLMO·NEO(네이버) 다섯 레인을 진단하고 직접 구현하며, 인용되는 콘텐츠를 계속 생산하는 서브 블로그·콘텐츠 운영 파이프라인까지 세팅하는 스킬. 사이트를 검색엔진·답변엔진·생성 AI·네이버 AI 브리핑이 인용하는 1차 소스로 만든다. "SEO 해줘", "AI에 인용되게 해줘", "네이버 노출 늘려줘", "llms.txt 만들어줘", "블로그 만들어줘/글 써줘", "콘텐츠 백로그·캘린더 잡아줘", "낡은 글 갱신해줘" 류 요청에 사용. Use for "audit my site's SEO", "get my site cited by ChatGPT/Perplexity/AI Overviews", "improve search visibility", "create llms.txt", "answer engine / generative engine optimization", "set up a blog that gets cited", "content backlog / calendar / refresh", and any AI-search-visibility request.MarketingFără avertismente★ 992↓ —
- minutes-setupsilverstein/minutesGuided first-time setup for Minutes — download whisper model, create directories, configure audio input. Use when the user says "set up minutes", "install minutes", "first time setup", "configure minutes", "get started with minutes", "how do I start using minutes", or when verify shows missing components.MediaFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- tisaxSushegaad/Claude-Skills-Governance-Risk-and-ComplianceExpert TISAX (Trusted Information Security Assessment Exchange) advisor for the automotive supply chain — the ENX/VDA assessment regime that OEMs like VW, BMW, and Mercedes-Benz require from suppliers and service providers. Covers the VDA ISA 6 catalogue (current through 2026) and the ISA2027 transition (published July 1, 2026; mandatory for assessments ordered from January 1, 2027), assessment levels AL1/AL2/AL3, all 12 assessment objectives/labels (Confidential, Strictly Confidential, High/Very High Availability, Proto Parts/Vehicles, Test Vehicles, Proto Events, Data, Special Data), maturity scoring (0–5, target 3, cutback rules), the ENX portal process, scoping, audit-provider selection, corrective action plans and the 9-month window, 3-year label validity, and ISO 27001 mapping. Use for any TISAX, VDA ISA, ENX, automotive information-security assessment, prototype protection, or OEM supplier-security requirement question — gap assessments, label selection, readiness, and audit prep.SecuritateFără avertismente★ 1 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★ 11,3 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↓ —
- 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↓ —
- 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↓ —
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivitateFără avertismente★ 1,3 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★ 11,3 K↓ —
- okr-buildermohitagw15856/pm-claude-skillsCreate well-structured OKRs (Objectives and Key Results) for product teams, startups, and individuals. Use when asked to write OKRs, set quarterly goals, define key results, or review existing OKRs. Produces a complete OKR set with objectives, measurable key results, baselines, and a scoring guide.RedactareFără avertismente★ 1,5 K↓ —
- planning-with-filesActualizatOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- azure-usagefcakyon/claude-codex-settingsThis skill should be used when user asks to "query Azure resources", "list storage accounts", "manage Key Vault secrets", "work with Cosmos DB", "check AKS clusters", "use Azure MCP", or interact with any Azure service.DevOpsFără avertismente★ 1,2 K↓ —
qbr-deck
mohitagw15856/pm-claude-skills
DocumenteActualizat acum 12 ore
De la autor
Build 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.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill qbr-deck -a claude-code
Se instalează în .claude/skills/qbr-deck/ · 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
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (4)
- SKILL.md
- references/value-narrative.md
- references/worked-example.md
- templates/qbr-outline.md