Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
11,424 skills from 333 repositories · updated 18 minutes ago
1,196 skills
- redbookZJU-REAL/Easel小红书内容分析：搜索笔记、拉取互动数据、分析爆款规律、创作者画像、限流检测，支持 CLI 自动化操作。 当用户说"小红书数据分析""小红书爆款分析""笔记数据""小红书限流检测""小红书创作者画像""分析小红书账号"时使用。 发布与日常互动运营请用 skill-xhs-publisher。EngineeringNo warnings★ 3.9K↓ —
- voice-personadavepoon/buildwithclaude让 Agent 变成能语音对话的机器人：语音文件转文字（支持微信 silk 格式）+ 多音色人格回复（Edge TTS 免费中文音色），全本地零 API 成本。Voice persona chat: transcribe voice messages (incl. WeChat silk) and reply in persona voices.EngineeringNo warnings★ 3.7K↓ —
- lcx-contribute-bug-fixcode-yeongyu/oh-my-openagentContribute a verified bug fix for LazyCodex, lazycodex-ai, omo-codex, bundled Codex skills, or upstream Codex CLI bugs. Opens a fork PR only for upstream openai/codex; LazyCodex-owned defects become a verified-fix issue on code-yeongyu/lazycodex (never a PR — that repo is a generated distribution mirror). Use when the user asks to fix a bug, contribute a bug fix, contribute to fix bug, open a PR for a bug, or debug and PR a LazyCodex/Codex defect.EngineeringNo warnings★ 70.2K↓ —
- sentryforyourhealth111-pixel/Vibe-SkillsUse when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.EngineeringNo warnings★ 3.7K↓ —
- cuopt-routing-api-pythonNVIDIA/skillsVehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.EngineeringNo warnings★ 3.7K↓ —
- codonfm-finetuneNVIDIA/skillsFine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning. Use when a user explicitly asks to fine-tune CodonFM or Encodon for regression or classification. Support generic public-v1 Encodon workflows only; reject Decodon, MissenseDataset, missense_synom_agg, and generation workflows.EngineeringNo warnings★ 3.7K↓ —
- amc-run-rtsp-calibrationNVIDIA/skillsCalibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.EngineeringNo warnings★ 3.7K↓ —
- orchestration-teammvschwarz/openrigUse when coordinating assignments, selected review boundaries, or blocked work across a rig.EngineeringReview first★ 8K↓ —Also in 1 other repo
- cuopt-server-api-pythonNVIDIA/skillscuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.EngineeringNo warnings★ 3.7K↓ —
- mcp-builderdavepoon/buildwithclaudeGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).EngineeringNo warnings★ 3.7K↓ —
- codonfm-embedNVIDIA/skillsValidate coding-sequence CSVs, extract public CodonFM/Encodon embeddings, and choose checkpoints for downstream property modeling.EngineeringNo warnings★ 3.7K↓ —
- ops-packagedavepoon/buildwithclaudeA single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClawEngineeringNo warnings★ 3.7K↓ —
- golang-clisamber/cc-skills-golangGolang CLI application development. Use when building, modifying, or reviewing a Go CLI tool — especially for command structure, flag handling, configuration layering, version embedding, exit codes, I/O patterns, signal handling, shell completion, argument validation, and CLI unit testing. Also triggers when code uses cobra, viper, or urfave/cli. For cobra-specific APIs → See `samber/cc-skills-golang@golang-spf13-cobra` skill; for viper configuration layering → See `samber/cc-skills-golang@golang-spf13-viper` skill.EngineeringNo warnings★ 3.5K↓ —
- warp-debug-gradientsNVIDIA/skillsUse to diagnose and fix incorrect gradients in differentiable Warp programs. Anything trained, optimized, calibrated, or fit through Warp kernels depends on wp.Tape gradients, so treat any misbehavior of such a workflow as a gradient problem until proven otherwise — use this when training diverges or NaNs, won't train at all, stalls or plateaus above the expected loss, converges to a wrong or biased answer, is worse than a reference implementation, works at small scale but fails at production scale, or fails a QA/validation recheck. Also for explicit symptoms — exploding, NaN/inf, zero, or subtly wrong gradients, suspected wp.Tape/backward issues, gradcheck failures — but users usually describe only the surface symptom ("the sim explodes", "the fit gets dragged toward outliers") without mentioning gradients: make that leap. Not for forward-only Warp work, build/install problems, or autograd issues in other frameworks without Warp.EngineeringNo warnings★ 3.7K↓ —
- nv-generate-ct-rflowNVIDIA/skillsUsed for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct. Not for production training data without review.EngineeringNo warnings★ 3.7K↓ —
- obsidian-rest-apidavepoon/buildwithclaudeCall the Obsidian Local REST API directly (over HTTP) for vault operations the mcp__obsidian__* tools do NOT expose — move/rename a note, overwrite a whole file atomically (PUT), act on the currently-open active file, run an Obsidian command, open a note in the UI, list all tags, or do date-specific periodic-note CRUD. Prefer the mcp__obsidian__* tools for plain read/append/patch/delete/search; fall back to this skill only when the required method is missing from MCP.EngineeringNo warnings★ 3.7K↓ —
- dali-dynamic-modeNVIDIA/skillsDALI imperative dynamic mode (`nvidia.dali.experimental.dynamic`, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks.EngineeringNo warnings★ 3.7K↓ —
- coding-tutorforyourhealth111-pixel/Vibe-SkillsPersonalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.EngineeringNo warnings★ 3.7K↓ —
- evaluating-machine-learning-modelsforyourhealth111-pixel/Vibe-SkillsEvaluate trained machine learning models with the right metrics and comparison logic. Use for benchmark review, threshold selection, calibration, validation, and model comparison; not for feature engineering or leakage auditing.EngineeringNo warnings★ 3.7K↓ —
- detecting-performance-regressionsforyourhealth111-pixel/Vibe-SkillsCompare current benchmark results against historical baselines to spot performance regressions. Use as an explicit/manual helper for build-to-build degradation review, not for broad optimization strategy or low-level profiling ownership.EngineeringNo warnings★ 3.7K↓ —
- commit-with-reflectionforyourhealth111-pixel/Vibe-SkillsGit提交与调试反思报告生成技能。用于分析开发过程中的错误、调试步骤和解决方案,生成结构化的中文反思报告,并创建包含报告引用的Git提交。显式请求词:反思提交、智能提交、生成调试报告、commit with reflection。EngineeringNo warnings★ 3.7K↓ —
- systematic-debuggingforyourhealth111-pixel/Vibe-SkillsRoot-cause route for actual bugs, failing tests, build errors, crashes, stack traces, and unexpected behavior. Do not use for test-first/TDD feature work, test-report packaging, review-feedback handling, or final completion evidence.EngineeringNo warnings★ 3.7K↓ —
- stable-baselines3foryourhealth111-pixel/Vibe-SkillsProduction-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.EngineeringNo warnings★ 3.7K↓ —
- pytorch-lightningforyourhealth111-pixel/Vibe-SkillsDeep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.EngineeringNo warnings★ 3.7K↓ —