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 16 ore
49.492 de skill-uri
- planning-with-files-deOthmanAdi/planning-with-filesPersistente dateibasierte Planung für mehrstufige Arbeit mit KI-Agenten. Hält task_plan.md, findings.md und progress.md auf dem Datenträger; Lebenszyklus-Hooks speisen ausgewählten Planungskontext des Projekts ein. Die automatische Wiederherstellung liest nur die Planungsdateien des Projekts. Nur ein ausdrücklicher Aufruf von session-catchup.py --metadata darf lokale Sitzungsmetadaten desselben Projekts prüfen; --replay darf begrenzte, nonce-gerahmte Auszüge ausgeben. Der optionale Gate-Modus kann nur bei Unterstützung durch den Host eine Fortsetzung anfordern und führt niemals in Markdown angegebene Befehle aus. Der Skill hat keinen Netzwerk-Uploadpfad. Verwenden für Forschung oder Arbeit mit mehr als 5 Tool-Aufrufen.PlanificareFără avertismente★ 27,9 K↓ —
- minutes-ingestsilverstein/minutesExtract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.ProductivitateFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- tddhashgraph-online/awesome-codex-pluginsTest-first cycle and red-step evidence rule for skills that implement behavior a test can assert. Binds when the verification skill resolves a test command; defines what the red run must quote and when the cycle is skipped with a reason.TestareFără avertismente★ 1,5 K↓ —
- interview-prepmohitagw15856/pm-claude-skillsPrepare for a specific interview at a specific company, not just 'an interview'. Use when asked to prep for an interview, prepare answers for a role, practice for a specific company's interview, or get ready for a behavioural/case/PM round. Produces a tailored prep pack — likely questions for this role & round, STAR-structured answers from your background, your stories mapped to their competencies, questions to ask, and the gaps to shore up.PlanificareFără avertismente★ 1,5 K↓ —
- tdd-guidealirezarezvani/claude-skillsTest-first development and test generation for Jest, Pytest, JUnit, Vitest or Mocha: red-green-refactor, fixtures and mocks, coverage gaps. Use whenever the user asks to write tests (before or after the code), mock a dependency or raise coverage.TestareFără 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↓ —
- 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↓ —
- xiaohei-illustrationsdzhng/skillsGenerate Ian-style Xiaohei illustrations for articles, posts, blogs, Notion documents, workflows, methods, processes, structures, states, metaphors, and opinions. Use when the user asks for weird, hand-drawn, Xiaohei, article, editorial, body illustrations, illustration ideas, shot lists, title removal, image edits, or image regeneration. By default, all image text and annotations are English, even when the source article is Chinese; only use another language when the user explicitly asks.MediaFără avertismente★ 1,4 K↓ —
- clickhashgraph-online/awesome-codex-pluginsRecord revision-aware evidence for software work by default, or bind higher-risk execution to one human-readable approval contract in Guarded mode. Use when Click Hook context enables Evidence or Guarded mode, or when the user explicitly selects Click. Do not use for questions or explanations.JuridicFără avertismente★ 1,5 K↓ —
- make-static-ads-render-reviewgooseworks-ai/goose-skillsStep of make-static-ads: a fresh judge checks every render against its concept-board row and the official product photos, one retry inside the marketer's approval, then the claims and set checks; records each verdict in tags and the batch file. Run make-static-ads instead; not for direct use.MediaFără avertismente★ 1,3 K↓ —
- second-brain-transcriptundefined-ui/second-brain-osClean a raw transcript before ingestion: punctuate, paragraph, label speakers, fix mistranscribed technical terms, and split long recordings by topic. Use this skill when the user drops an auto-generated transcript, subtitle file, podcast or lecture transcript, meeting recording text, or asks to process a video or audio source. Do NOT use for text that is already prose, for summarising a transcript, or for the ingestion itself.MediaFără avertismente★ 1,3 K↓ —
- cloudbase-platformTencentCloudBase/CloudBase-AI-ToolkitCloudBase platform overview and routing guide. This skill should be used when users need high-level capability selection, platform concepts, console navigation, realtime (broadcast / presence / live database changes), or cross-platform best practices before choosing a more specific implementation skill.DateFără avertismente★ 1,2 K↓ —Apare și în 4 alte depozite
- monthly-reviewhoangsonww/Claude-Code-Agent-MonitorCompile a month-over-month retrospective from Agent Monitor data — sessions, cost, token volumes, completion rate, top projects by working directory, and notable shifts versus the prior month. Uses daily_sessions/daily_events (365d) from analytics, the session list, and the pricing cost breakdown. Use when doing a monthly retrospective or planning the month ahead.InginerieFără avertismente★ 1,1 K↓ —
- oma-coordinationNoufirst-fluke/oh-my-agentCoordinate assigned specialist tasks and handoffs manually. Use when supervising a multi-agent project step by step.PlanificareFără avertismente★ 1,4 K↓ —
- advisehashgraph-online/awesome-codex-pluginsGet a senior-style review of code, a planned change, a library choice, or a fix idea -- without writing a spec document. Multi-turn chat, grounded in your actual code. Use when you want a quick second opinion, not a plan.RedactareFără avertismente★ 1,5 K↓ —
- trip-plannano-muse/nanoMusePlan a trip end to end (itinerary by day, a packing list to tick off, a budget, and the calendar checked for conflicts) as pages in the workspace. Use when the user is going somewhere for more than a day and wants a plan, an itinerary or a packing list.PlanificareFără avertismente★ 3,2 K↓ —
- ad-lead-quality-analyzergooseworks-ai/goose-skillsFor paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.MarketingFără avertismente★ 1,3 K↓ —
- eval-reportagentscope-ai/OpenJudgeUse 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.ProductivitateFără avertismente★ 1 K↓ —
- oma-marketfirst-fluke/oh-my-agentResearch customer pain points, trends, and competitors through the OMA market engine. Use for market discovery or voice-of-customer analysis.ȘtiințăFără avertismente★ 1,4 K↓ —
- 02-bib-verifyagentscope-ai/OpenJudgeVerify a BibTeX file for hallucinated or fabricated references by cross-checking every entry against CrossRef, arXiv, and DBLP. Reports each reference as verified, suspect, or not found, with field-level mismatch details (title, authors, year, DOI). Use when the user wants to check a .bib file for fake citations, validate references in a paper, or audit bibliography entries for accuracy.ȘtiințăFără avertismente★ 1 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↓ —
- federal-resumemohitagw15856/pm-claude-skillsWrite a US federal resume for a USAJOBS application: the long, detailed format with hours per week, grade-relevant duties and specialised experience written to the announcement's qualifications. Use when asked to write my federal resume, apply on USAJOBS, turn my private-sector resume into a government resume, or qualify for a GS grade. Produces the federal resume, a qualifications crosswalk against the announcement's specialised experience, and a checklist of the details USAJOBS reviewers reject applications for missing.RedactareFără avertismente★ 1,5 K↓ —
- eval-skillsdzhng/skillsEval and improve a skill against golden cases — run the target skill blind in a fresh, context-free subagent on each example input, grade the artifact against the expected outcome, and let the gaps drive the edits. Use when the user wants to test/eval/improve/harden a skill, says "this skill keeps producing X / keeps missing Y", or hands a skill plus example input→expected-output pairs. Pairs with [write-skills](../write-skills/SKILL.md) (the authoring principles every fix obeys).TestareFără avertismente★ 1,4 K↓ —
- mariadb-operator-commentmariadb-operator/mariadb-operatorPost a comment (or a formal PR review) to a GitHub issue or pull request in mariadb-operator/mariadb-operator. Use whenever the user wants to publish something to GitHub for this repo — "comment on issue #123", "post this as a PR comment", "leave a note on #456", "reply on the PR" — and especially when they want the output of the mariadb-operator-pr-review skill delivered to GitHub instead of just shown in chat, e.g. "review PR #1234 and post it as a comment" or "post the review results to the PR". Always confirms the exact comment text with the user before publishing — never posts autonomously.InginerieFără avertismente★ 1 K↓ —
hf-cloud-sagemaker-production-defaults
huggingface/skills
De la autor
Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.
Instalare
npx skills add huggingface/skills --skill hf-cloud-sagemaker-production-defaults -a claude-code
Se instalează în .claude/skills/hf-cloud-sagemaker-production-defaults/ · 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
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Fișiere (8)
- SKILL.md
- references/deployment-template.md
- scripts/_common.py
- scripts/deploy.py
- scripts/deploy_async.py
- scripts/deploy_ic.py
- scripts/invoke_endpoint.py
- scripts/teardown.py