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 13 ore
49.492 de skill-uri
- polar-local-environmentfcakyon/claude-codex-settingsThis skill should be used when setting up or managing Polar local development environment with Docker.DevOpsFără avertismente★ 1,2 K↓ —
- lambdaitsmostafa/aws-agent-skillsAWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.DevOpsFără avertismente★ 1,2 K↓ —
- bedrockitsmostafa/aws-agent-skillsAWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.DevOpsFără avertismente★ 1,2 K↓ —
- cognitoitsmostafa/aws-agent-skillsAWS Cognito user authentication and authorization service. Use when setting up user pools, configuring identity pools, implementing OAuth flows, managing user attributes, or integrating with social identity providers.DevOpsFără avertismente★ 1,2 K↓ —
- cloudwatchitsmostafa/aws-agent-skillsAWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.DevOpsFără avertismente★ 1,2 K↓ —
- secrets-manageritsmostafa/aws-agent-skillsAWS Secrets Manager for secure secret storage and rotation. Use when storing credentials, configuring automatic rotation, managing secret versions, retrieving secrets in applications, or integrating with RDS.DevOpsFără avertismente★ 1,2 K↓ —
- hyperframes-cliActualizatheygen-com/hyperframesThe HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from build or render failures.OficialInginerieVerifică întâi★ 78,7 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
- commercial-forecasteralirezarezvani/claude-skillsUse when building a bookings, ARR, pipeline or NRR forecast, or a commit, best-case and pipeline board number. Forecasts with bookings_forecaster.py, projects cohorts with cohort_arr_projector.py and scores stage confidence with funnel_confidence_scorer.py, showing every conversion assumption.MarketingFără avertismente★ 29,3 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↓ —
- 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↓ —
- oma-tf-infraNoufirst-fluke/oh-my-agentCreate or review Terraform infrastructure and plans. Use for cloud resources, IAM, networking, state management, and infrastructure changes.DevOpsFără avertismente★ 1,4 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↓ —
- senior-backendalirezarezvani/claude-skillsBuild and fix backend services: REST or GraphQL APIs, auth, microservices, PostgreSQL queries, migrations and load tests. Use whenever the user's API is slow or broken, needs login or auth added, a schema change, or a new endpoint or service scaffolded.TestareFără avertismente★ 29,3 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↓ —
- minehashgraph-online/awesome-codex-pluginsUse only when the user explicitly asks to run, set up, update, re-mine, or deepen Emulo from real local AI coding-session history.InginerieFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- openspec-archive-changeMemeMeow-Studio/MemeMeowArchive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.ProductivitateFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- 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↓ —
- 01-graders-and-pipelineagentscope-ai/OpenJudgeBuild custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.DesignFără avertismente★ 1 K↓ —
- relational-database-mcp-cloudbaseTencentCloudBase/CloudBase-AI-Toolkit[Deprecated] Existing CloudBase MySQL only. Do not recommend MySQL for new relational work — use postgresql-development. Read this when the environment already has a MySQL instance and the task is queryMysqlDatabase, manageMysqlDatabase, queryPermissions, or managePermissions (inspect, write SQL, schema, permissions, destroy). Do not provision MySQL.DateFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- casefilehashgraph-online/awesome-codex-pluginsUse when tracking security investigations, bug bounty findings, CTF leads, audit evidence, exploit chains, dead ends, or reports in the Casefile ledger through Codex.SecuritateFără avertismente★ 1,5 K↓ —
- baoyu-diagramJimLiu/baoyu-skillsCreate professional diagrams with configurable dark/light theme via CSS custom properties. Use this skill whenever the user asks for any kind of technical or conceptual diagram, visualization of a system, process flow, data flow, component relationship, network topology, decision tree, org chart, state machine, or any visual representation of structure/logic/process. Also trigger when the user says "画个图" "画一个架构图" "diagram" "flowchart" "sequence diagram" "draw me a ..." or uploads content and asks to visualize it. Outputs a dark-theme SVG, a light-theme SVG, and a @2x PNG of each.DesignFără avertismente★ 27,3 K↓ —
- cloudbaseTencentCloudBase/CloudBase-AI-ToolkitUse when the user builds, deploys, debugs, or troubleshoots anything on 腾讯云开发 CloudBase / 云开发 / TCB / 微信云开发 — Web, 微信小程序, uni-app, 原生 App. Triggers on: 建站, 页面, 表单, 后台, 原型, 登录, 注册, 鉴权, 数据库, 集合, 建表, 云函数, 云托管, 云存储, 静态托管, 上传, 部署, 上线, 域名, 日志, 报错, 巡检, 大模型, AI 对话, 流式输出, 智能体, 小程序. This is an entry skill: it routes the task to the right CloudBase MCP tool and then pulls the detailed recipe from the CloudBase MCP knowledge base. Do NOT use for non-CloudBase stacks or self-hosted backends.DevOpsFără avertismente★ 1,2 K↓ —
- database-designCloudAI-X/claude-workflow-v2Designs database schemas, indexing strategies, query optimization, and migration patterns for SQL and NoSQL databases. Use when designing tables, optimizing queries, fixing N+1 problems, planning migrations, or when asked about database performance, normalization, ORMs, or data modeling.DateFără avertismente★ 1,4 K↓ —
add-wechat
nanocoai/nanoclaw
InginerieActualizat ieri
De la autor
Add WeChat (personal) channel integration via Tencent's official iLink Bot API. Uses long-polling and QR scan — no webhook, no ToS risk, no paid token.
Instalare
npx skills add nanocoai/nanoclaw --skill add-wechat -a claude-code
Se instalează în .claude/skills/add-wechat/ · 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
Adopție70
Fișiere (3)
- REMOVE.md
- SKILL.md
- scripts/wire-dm.ts