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 3 ore
49.492 de skill-uri
- 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↓ —
- creator-profile-teardownScrapeCreators/social-media-research-skillsUse when the user wants to analyze a creator, influencer, founder, or brand social account and understand positioning, content pillars, outlier posts, hooks, format choices, audience reaction, and what can be copied or tested.AlteleFără avertismente★ 5,5 K↓ —
- gentle-ai-cognitive-doc-designGentleman-Programming/gentle-shellDesign docs that reduce cognitive load. Trigger: writing guides, READMEs, RFCs, onboarding, architecture, or review-facing docs.DesignFără avertismente★ 1,6 K↓ —
- jetson-init-imageNVIDIA/skillsExtract Jetson Linux + sample-rootfs tarballs and run apply_binaries.sh for the active target, then record bsp_image in the profile. Use after jetson-init-target; not for source-tree setup.MediaFără avertismente★ 3,9 K↓ —
- gentle-ai-rdd-defect-workflowGentleman-Programming/gentle-shellTrigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.ProductivitateFără avertismente★ 1,6 K↓ —
- publish-to-confluencehuytieu/COG-second-brainPublish any markdown file from the vault to Confluence with format conversion and approval gateMarketingFără avertismente★ 1,3 K↓ —
- product-launchkostja94/marketing-skillsWhen the user wants to plan a product launch, execute launch channels, or create a launch checklist. Also use when the user mentions "product launch," "launch strategy," "product announcement," "launch channels," or "market launch." For GTM motion and positioning, use gtm-strategy. For cold start and first users, use cold-start-strategy. For Product Hunt day-of, use product-hunt-launch.PlanificareFără avertismente★ 1,1 K↓ —
- code-revieweralirezarezvani/claude-skillsUse for any code review: a pull request, a diff, a commit, or a pasted function, handler or file in TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#/.NET, Java, C, C++, Rust, Ruby, PHP or Dart/Flutter. Applies per-language rule packs (security such as SQL injection and missing auth, async and resource handling, error handling, performance) and scripts that score a PR's risk and complexity, then gives a merge verdict with blocking and non-blocking findings. Use whenever the user asks to review, check or look over code, says 'code review', 'review this PR', 'review this diff' or 'is this safe to merge', or asks what is wrong with a snippet, even a single function.InginerieFără avertismente★ 29,3 K↓ —
- inithashgraph-online/awesome-codex-pluginsInitialize team config for a project. Creates .agenteam/config.yaml (or legacy agenteam.yaml) and generates .codex/agents/*.toml.AlteleFără avertismente★ 1,5 K↓ —
- cro-advisoralirezarezvani/claude-skillsUse for B2B revenue leadership: forecasting, quotas, sales model, NRR and churn, pricing or sales capacity. Forecasts with revenue_forecast_model.py and analyzes churn with churn_analyzer.py.MarketingFără avertismente★ 29,3 K↓ —
- product-skillsalirezarezvani/claude-skillsUse when a product request needs routing across the product-team skills (prioritization, OKRs, UX research, experiments, discovery, roadmaps), or to run the continuous discovery loop. Routes with product_goal_router.py and gates with discovery_cadence_tracker.py and ost_linter.py.DesignFără avertismente★ 29,3 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↓ —
- asc-ad-hoc-distributionrorkai/app-store-connect-cli-skillsPrepare, publish, resume, and verify private iOS release-testing installs with asc distribute. Use when distributing an IPA to registered devices outside TestFlight, reconciling ad hoc profiles, publishing through caller-owned S3-compatible storage, or diagnosing a resumable private distribution run.MarketingFără avertismente★ 1,1 K↓ —
- threat-detectionalirezarezvani/claude-skillsUse when hunting threats, sweeping IOCs or looking for anomalies in logs and telemetry. Ranks ATT&CK-mapped signals and z-score anomalies with threat_signal_analyzer.py.AlteleFără avertismente★ 29,3 K↓ —
- planning-with-filesOthmanAdi/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↓ —Apare și în 1 alt depozit
- form-explainermohitagw15856/pm-claude-skillsExplain an official form field by field (tax, benefits, immigration, employment, school, health, vehicle or court forms) from a photo, PDF, pasted text or just its name and number: what it is for, what each field means and what to put, the documents needed, the deadline, and where to send it. Use when someone says 'what is this form', 'help me understand form P45 / W-4 / Form 16', 'what do I write in this box', or 'I got this form in the post'. Produces a one-line purpose, a field-by-field guide, a documents checklist, common mistakes, and what happens next.DocumenteFără avertismente★ 1,5 K↓ —
- oma-dbfirst-fluke/oh-my-agentDesign schemas and migrations, tune queries, or plan vector retrieval and database operations. Application API implementation uses oma-backend.DateFără avertismente★ 1,4 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↓ —
- add-containerNouajnart/self-hostDCM Container work. Use to add or edit a Container in dcm/src/tools/, including an issue labelled `container` and then `accepted`, and the pull request dcm-add-container.yml opens from it. A Container is a compose snippet DCM offers for a product the Catalog does not install. Catalog Apps go to edit-catalog.RedactareFără avertismente★ 1,5 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↓ —
- plan-campaign-channel-decisiongooseworks-ai/goose-skillsStep of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.MarketingFără 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↓ —
minutes-x1-send-meeting
silverstein/minutes
InginerieActualizat acum 9 ore
De la autor
Send one of the user's own Minutes meetings to their X1 household for review. Use when the user wants a meeting's summary, decisions, action items, and open questions to reach X1 so they can confirm what belongs in their household record. X1 asks the user to approve the send, and nothing reaches the household record until they confirm each item. Never use it for a restricted meeting, a transcript, or someone else's meeting.
Instalare
npx skills add silverstein/minutes --skill minutes-x1-send-meeting -a claude-code
Se instalează în .claude/skills/minutes-x1-send-meeting/ · 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 (2)
- SKILL.md
- agents/openai.yaml