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 11 ore
49.409 skill-uri
- orchestrating-agent-relayAgentWorkforce/relayThe canonical way to run agent-relay - self-bootstrap the local broker and autonomously spawn, monitor, and coordinate a team of worker agents without human intervention. Covers infrastructure startup, agent spawning, lifecycle monitoring, message-based reading via the relay MCP, and team coordination.DevOpsFără avertismente★ 1,1 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↓ —
- 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↓ —
- 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-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↓ —
- 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↓ —
- senior-fullstackalirezarezvani/claude-skillsStart a fullstack project or audit a codebase: pick a stack (Next.js, FastAPI, MERN, Django), scaffold it and score code quality. Use whenever the user asks which stack to use, wants a new web app set up, or asks how good or messy their codebase is.InginerieFără avertismente★ 29,2 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
- mcp-server-builderalirezarezvani/claude-skillsUse when exposing an API as an MCP server or scaffolding a new MCP server in Python or TypeScript, before hand-writing tool wrappers. Generates tools from OpenAPI with openapi_to_mcp.py and validates them with mcp_validator.py.RedactareFără avertismente★ 29,2 K↓ —
- run-without-youalirezarezvani/claude-skillsUse when a graded managed agent should run on a schedule, on an event trigger or on demand ('run it every morning'). Validates cron with cron_validator.py and builds the deployment with deployment_builder.py.DevOpsFără avertismente★ 29,2 K↓ —
- ui-design-systemalirezarezvani/claude-skillsUse when building a design system: tokens, component docs, responsive scales or developer handoff. Generates tokens with design_token_generator.py.DesignFără avertismente★ 29,2 K↓ —
- ab-test-setupalirezarezvani/claude-skillsUse before planning or launching any A/B, split or multivariate test, or when asked if a result is significant. Sizes the test with sample_size_calculator.py and writes the hypothesis, metric and stop rule first, so it is not called early on noise.TestareFără avertismente★ 29,2 K↓ —
- runbook-generatoralirezarezvani/claude-skillsUse when a service needs runbooks for deploy, incident response, maintenance or rollback, before launch. Generates them per environment with runbook_generator.py.DevOpsFără avertismente★ 29,2 K↓ —
- onboarding-croalirezarezvani/claude-skillsUse when activation, time-to-value or a first-run experience after signup needs work, before redesigning it. Finds the activation drop-off with activation_funnel_analyzer.py.MarketingFără avertismente★ 29,2 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↓ —
- react-uihashgraph-online/awesome-codex-pluginsUse when building any val with a user interface — dashboards, web apps, landing pages, forms, admin tools, anything users see in a browser. Covers JSX/React conventions, Twind/Tailwind styling, React version pinning, the view-source link requirement, and what to avoid (template-string HTML, external assets).DesignFără avertismente★ 1,5 K↓ —
- ap-janitorSpielewoy/autoprompt-skillReport the compatibility redirect to `C0`; this retired role cannot perform new work.AlteleFără avertismente★ 1,2 K↓ —
- ap-plannerSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-roadmap-author`; this retired role cannot perform new work.PlanificareFără avertismente★ 1,2 K↓ —
- agentlas-security-scanagentlas-ai/Agentlas-OSUse when an agent folder must pass the Agentlas Cloud 2-stage security scan (static rules + BYOK LLM judgment) before private sync or public publish, or when asked to run/interpret `hephaestus security scan`.SecuritateFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- setup-offline-profilemicrosoft/power-platform-skillsUse when the user wants to enable offline mode for a Power Apps mobile app and create a Mobile Offline Profile in Dataverse — designs per-table row scope, relationships, columns, and sync frequency through a 3-gate approval flow.AlteleFără avertismente★ 1,1 K↓ —
- session-agent-builderagentlas-ai/Agentlas-OSTurn the current interactive conversation into an owner-reviewed reusable Agentlas agent; accept JSON or JSONL only for explicit terminal and automation runs.AlteleFără avertismente★ 1,6 K↓ —Apare și în 5 alte depozite
- agentlasagentlas-ai/Agentlas-OSSingle entry point for every Agentlas command: /agentlas network, /agentlas build, /agentlas storm, /agentlas goal, /agentlas one, /agentlas upload, /agentlas cloud, /agentlas hub, /agentlas local, /agentlas browser, /agentlas call, /agentlas search, /agentlas login, /agentlas orch, /agentlas update.BrowserFără avertismente★ 1,6 K↓ —
- agentlasagentlas-ai/Agentlas-OSSingle entry point for every Agentlas command: /agentlas network, /agentlas build, /agentlas storm, /agentlas goal, /agentlas one, /agentlas upload, /agentlas cloud, /agentlas hub, /agentlas local, /agentlas browser, /agentlas call, /agentlas search.BrowserFără avertismente★ 1,6 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↓ —
oma-debug
first-fluke/oh-my-agent
InginerieActualizat acum 20 de ore
De la autor
Diagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.
Instalare
npx skills add first-fluke/oh-my-agent --skill oma-debug -a claude-code
Se instalează în .claude/skills/oma-debug/ · 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 (7)
- SKILL.md
- resources/bug-report-template.md
- resources/checklist.md
- resources/common-patterns.md
- resources/debugging-checklist.md
- resources/error-playbook.md
- resources/execution-protocol.md