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.
14.533 de skill-uri din 417 depozite · actualizat acum 23 de ore
1.543 de skill-uri
- 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.InginerieFără avertismente★ 3,8 K↓ —
- 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.InginerieFără avertismente★ 3,8 K↓ —
- 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.InginerieFără avertismente★ 3,8 K↓ —
- 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。InginerieFără avertismente★ 3,8 K↓ —
- 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.InginerieFără avertismente★ 3,8 K↓ —
- 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.InginerieFără avertismente★ 3,8 K↓ —
- show-me-your-workmichael-denyer/pstack-claudeKeep a reviewable decision trail for long-running or unattended work: a TSV log with one row per decision (what, why, evidence, result). Local by default; commit it when a reviewer needs the trail to trust the result. Use for /show-me-your-work, autonomous or multi-phase runs, or work a human reviews after stepping away.InginerieFără avertismente★ 3,3 K↓ —
- 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.InginerieFără avertismente★ 3,7 K↓ —
- structured-code-reviewrohitg00/skillkitPerforms a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance. Each stage uses targeted checklists and categorized feedback (Blocker/Major/Minor/Nit) with actionable suggestions and rationale. Use when the user asks for code review, PR feedback, pull request review, or wants their code checked for bugs, style issues, or vulnerabilities — triggered by phrases like "review my code", "check this PR", "review my changes", "pull request review", or "code feedback".InginerieFără avertismente★ 1,6 K↓ —
- 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.InginerieFără avertismente★ 3,7 K↓ —
- 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.InginerieFără avertismente★ 3,7 K↓ —
- codonfm-embedNVIDIA/skillsValidate coding-sequence CSVs, extract public CodonFM/Encodon embeddings, and choose checkpoints for downstream property modeling.InginerieFără avertismente★ 3,7 K↓ —
- 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.InginerieFără avertismente★ 3,7 K↓ —
- 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.InginerieFără avertismente★ 3,7 K↓ —
- 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.InginerieFără avertismente★ 3,7 K↓ —
- 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.InginerieFără avertismente★ 3,7 K↓ —
- 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.InginerieFără avertismente★ 70,3 K↓ —
- red-green-refactorrohitg00/skillkitGuides the red-green-refactor TDD workflow: write a failing test first, implement the minimum code to make it pass, then refactor while keeping tests green. Use when a user asks to practice TDD, write tests first, follow red-green-refactor, do test-driven development, write failing tests before code, or phrases like 'make the test pass', 'test coverage', or 'unit tests before implementation'.InginerieFără avertismente★ 1,6 K↓ —
- 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).InginerieFără avertismente★ 3,7 K↓ —
- 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.InginerieFără avertismente★ 3,6 K↓ —
- youtube-transcript-analysis-api-skillbrowser-act/skillsThis skill helps users extract YouTube video transcripts and perform deep competitive analysis on the content. Agent should proactively apply this skill when users express needs like analyze YouTube video content strategy, perform competitive video content analysis, extract and analyze YouTube subtitles for marketing insights, understand competitor value propositions from their videos, identify target audience from YouTube video content, analyze pain points and needs mentioned in YouTube videos, evaluate competitor CTA strategies in video content, find content gaps in competitor YouTube videos, analyze video narrative structure and hooks, extract key messaging and positioning from YouTube content, benchmark competitor video content quality, research competitor marketing angles through video analysis, identify audience signals and terminology level in videos, analyze emotional tone and persuasion techniques in YouTube content.InginerieFără avertismente★ 6,2 K↓ —
- graymatterhashgraph-online/awesome-codex-pluginsInstall and use GrayMatter as an OpenClaw skill that provides primary durable memory, shared object-graph state, and authenticated access to the live api-docs schema via api-0. Use when the agent should persist durable memory, inspect organizational data models, and operate inside the business domain through RBAC-scoped API access.InginerieFără avertismente★ 1,4 K↓ —
- llm-cachingBagelHole/DevOps-Security-Agent-SkillsImplement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API costs by 30–70%, cut latency, and improve throughput using Redis, GPTCache, and provider caching APIs.InginerieFără avertismente★ 1,2 K↓ —
- scikit-learnK-Dense-AI/scientific-agent-skillsSupports machine learning in Python with scikit-learn. Applies when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.InginerieFără avertismente★ 53,8 K↓ —
access-review
BagelHole/DevOps-Security-Agent-Skills
InginerieActualizat 22 mai 2026
De la autor
Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
Instalare
npx skills add BagelHole/DevOps-Security-Agent-Skills --skill access-review -a claude-code
Se instalează în .claude/skills/access-review/ · 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 instrucțiuniFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 83
Securitate100
Proveniență77
Întreținere70
Licență100
Adopție50
Fișiere (1)
- SKILL.md