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 19 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↓ —
- 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↓ —
- 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.InginerieFără avertismente★ 3,7 K↓ —
- literature-reviewforyourhealth111-pixel/Vibe-SkillsConduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).InginerieFără avertismente★ 3,8 K↓ —
- code-reviewerforyourhealth111-pixel/Vibe-SkillsDefault code-quality route for broad code review, PR review, maintainability, correctness, and regression-risk checks. Do not use as the primary route for dedicated OWASP/security audits, review-feedback handling, completion verification, AI-code cleanup, or TDD/test-first work.InginerieFără avertismente★ 3,8 K↓ —
- scikit-learnforyourhealth111-pixel/Vibe-SkillsMachine learning in Python with scikit-learn. Use 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★ 3,8 K↓ —
- 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.InginerieFără avertismente★ 3,8 K↓ —
- 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`.InginerieFără avertismente★ 3,8 K↓ —
- simpyforyourhealth111-pixel/Vibe-SkillsProcess-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.InginerieFără avertismente★ 3,8 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↓ —
- 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 OpenClawInginerieFără 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↓ —
- debuggingcode-yeongyu/oh-my-openagentRuns a hypothesis-driven debugging loop across any language or binary, escalating to orthogonal oracle angles and locking the fix with a failing test. Use for crashes, silent failures, hangs, wrong responses, memory leaks, async misbehavior, or reverse engineering.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↓ —
- 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↓ —
- 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↓ —
- code-simplifiergetsentry/skillsSimplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-specific best practices.OficialInginerieVerifică întâi★ 1,1 K↓ —
- skill-post-scorerZJU-REAL/Easel对社媒帖子草稿进行互动潜力评分，基于历史表现数据输出结构化评分卡。 当用户说"帖子打分""评分""这条能火吗""发布前评估""内容质量分""评分卡""草稿评估"时使用。 和 skill-topic-evaluator 的区别：evaluator 评还没做的选题潜力，本 SKILL 评已写好的草稿质量； 和 skill-social-performance-review 的区别：本 SKILL 评单条草稿（发布前），review 做月度组合复盘（发布后）。InginerieFără avertismente★ 4 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↓ —
- code-reviewerJeffallan/claude-skillsAnalyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable feedback. Use when reviewing pull requests, conducting code quality audits, identifying refactoring opportunities, or checking for security issues. Invoke for PR reviews, code quality checks, refactoring suggestions, review code, code quality. Complements specialized skills (security-reviewer, test-master) by providing broad-scope review across correctness, performance, maintainability, and test coverage in a single pass.InginerieVerifică întâi★ 12 K↓ —
- debugging-wizardJeffallan/claude-skillsParses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, troubleshooting crashes, or performing log analysis, error investigation, or root cause analysis.InginerieVerifică întâi★ 12 K↓ —
- orchestration-teammvschwarz/openrigUse when coordinating assignments, selected review boundaries, or blocked work across a rig.InginerieVerifică întâi★ 8,1 K↓ —Apare și în 1 alt depozit
- gentle-ai-branch-prGentleman-Programming/gentle-aiCreate Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.InginerieVerifică întâi★ 7,9 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↓ —
pytorch-lightning
foryourhealth111-pixel/Vibe-Skills
InginerieActualizat ieri
De la autor
Deep 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.
Instalare
npx skills add foryourhealth111-pixel/Vibe-Skills --skill pytorch-lightning -a claude-code
Se instalează în .claude/skills/pytorch-lightning/ · 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: APACHE-2.0
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 84
Securitate85
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (11)
- SKILL.md
- references/best_practices.md
- references/callbacks.md
- references/data_module.md
- references/distributed_training.md
- references/lightning_module.md
- references/logging.md
- references/trainer.md
- scripts/quick_trainer_setup.py
- scripts/template_datamodule.py
- scripts/template_lightning_module.py