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 17 ore
49.492 de skill-uri
- brooks-sweephyhmrright/brooks-lintFull-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user wants to "fix everything", "sweep the codebase", "auto-fix all issues", "clean up the whole project", or asks for a single command that both diagnoses and remediates quality problems. Do NOT trigger for: read-only audits or health reports where the user only wants findings without code changes; single-dimension reviews (use the focused skill instead: brooks-review / brooks-audit / brooks-debt / brooks-test); server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime.TestareFără avertismente★ 1,6 K↓ —
- oma-debugNoufirst-fluke/oh-my-agentDiagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.InginerieFără avertismente★ 1,4 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↓ —
- multi-domain-brand-seokostja94/marketing-skillsWhen the user wants to optimize brand search for a company with multiple domains (e.g. parent company.com vs product.ai). Ensure the parent/company domain ranks first for brand queries. Also use when the user mentions "brand search," "multi-domain SEO," "company domain first," "parent vs product domain," "hub-spoke domain," "brand SERP control," or "differentiate company and product domains." For domain structure, use domain-architecture.MarketingFără avertismente★ 1,1 K↓ —
- oma-imageNoufirst-fluke/oh-my-agentGenerate raster images or reference-guided variations through the OMA image CLI. Use for image assets or explicit vendor comparisons; pixel editing uses an editor.MediaFără avertismente★ 1,4 K↓ —
- jetson-optimize-memoryNVIDIA/skillsReclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.ProductivitateFără avertismente★ 3,9 K↓ —
- oma-academic-writingfirst-fluke/oh-my-agentDraft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.RedactareFără avertismente★ 1,4 K↓ —
- oma-dbfirst-fluke/oh-my-agentDatabase specialist for SQL, NoSQL, and vector database modeling, schema design, normalization, indexing, transactions, integrity, concurrency control, backup, capacity planning, data standards, anti-pattern review, and compliance-aware database design. Use for database, schema, ERD, table design, document model, vector index design, RAG retrieval architecture, migration, query tuning, glossary, capacity estimation, backup strategy, database anti-pattern remediation work, and ISO 27001, ISO 27002, or ISO 22301-aware database recommendations.DateFără avertismente★ 1,4 K↓ —
- oma-explanationfirst-fluke/oh-my-agentCreate an offline HTML explanation of a code change (diff, PR, branch) or of a topic, system, or question. Use when a visual walkthrough document is requested.InginerieFără avertismente★ 1,4 K↓ —
- oma-securityfirst-fluke/oh-my-agentScan application source, agent skills, and MCP components; run penetration tests against scoped web test deployments, validate findings, and configure scan gates. Use oma-qa for broad quality reviews and domain skills for remediation.SecuritateFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- oma-architecturefirst-fluke/oh-my-agentEvaluate system boundaries and architectural tradeoffs. Use for architecture decisions, design reviews, and ADRs.PlanificareFără avertismente★ 1,4 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
- oma-docsfirst-fluke/oh-my-agentCheck documentation references, sync docs to code changes, and detect translation drift. Use for documentation maintenance in a repository.InginerieFără avertismente★ 1,4 K↓ —
- clean-architectureciembor/agent-rules-booksApply Robert C. Martin-inspired architecture rules when separating business policy from frameworks, databases, UI, or infrastructure details.PlanificareFără avertismente★ 3,2 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↓ —
- make-static-ads-claims-extractgooseworks-ai/goose-skillsStep of the make-static-ads playbook: pulls every claim-bearing span out of an ad — the copy around the image, the on-image words in the prompt, badges, and what the picture implies — and keeps or cuts each by the brand-brain rule. Runs before spend on the finished prompt (Pass A) and on every render (Pass B). Run make-static-ads instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- rollback-planmohitagw15856/pm-claude-skillsWrite a concrete rollback plan for a risky change (deploy, migration, feature-flag flip, config rollout) so the reverse is one command away — not an improvised debate at 2am. Use when asked to write a rollback plan, back-out plan, revert plan, or 'what if we need to undo this'. Produces a rollback plan with the signals that trigger it, exact reverse commands, verification steps, data-safety notes, and a communications template.PlanificareFără avertismente★ 1,5 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↓ —
- saas-scaffolderalirezarezvani/claude-skillsUse when starting a new SaaS app with auth, database, Stripe billing and a dashboard (Next.js App Router, TypeScript, Tailwind, shadcn/ui, Drizzle). Bootstraps it with project_bootstrapper.py.DateFără avertismente★ 29,3 K↓ —
- legacy-lettermohitagw15856/pm-claude-skillsWrite a letter to the people you love, to be read later — the things you'd want them to know, the stories only you hold, the permission and the love that outlive you. Use when someone says 'help me write a letter to my kids/partner', 'legacy letter', 'ethical will', 'something for them to have when I'm gone', or is facing illness, aging, deployment, or simply wants to. Produces a warm, true letter in the writer's own voice — one to each person, or one to all — plus a light plan for when and how it's found. An emotional-legacy tool, not legal (it is not a will).DevOpsFără avertismente★ 1,5 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↓ —
- mcp-mocked-markeralibaba/skill-upMCP mocked marker smoke skill used by skill-up e2e tests.TestareFără avertismente★ 1,4 K↓ —
- render-creator-pip-listiclegooseworks-ai/goose-skillsAssemble a creator picture-in-picture product-listicle ad from a config. The creator stays full-frame for every beat (voice and lips generated together), and each product beat carries three overlays for the whole beat: a title pill, the product demo in a rounded picture-in-picture window (the brand's muted UGC clip, or its UI still or screen recording), and a product card with thumbnail, number, category and name. Hook and CTA beats show the creator with the title pill only. It builds one overlay image per beat, composites it on the creator clip, concatenates the beats and burns timed captions last. Free, deterministic assembly; the creator anchor and talking clips come from create-image-fal and create-video-fal. Use for the creator-pip-listicle format.MediaFără avertismente★ 1,3 K↓ —
marketing-ops
alirezarezvani/claude-skills
MarketingActualizat alaltăieri
De la autor
Use when a marketing request spans several skills (a campaign across content, SEO, CRO and channels) or it is unclear which skill fits. Routes and sequences the work and tracks it with campaign_tracker.py.
Instalare
npx skills add alirezarezvani/claude-skills --skill marketing-ops -a claude-code
Se instalează în .claude/skills/marketing-ops/ · 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
Rulează scripturile incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Securitate85
Proveniență94
Întreținere100
Licență100
Adopție69
Fișiere (2)
- SKILL.md
- scripts/campaign_tracker.py