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.
14.555 de skill-uri din 421 de depozite · actualizat acum 15 minute
1.553 de skill-uri
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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-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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- diagramming-codetrailofbits/skillsGenerates Mermaid diagrams from Trailmark code graphs. Produces call graphs, class hierarchies, module dependency maps, containment diagrams, complexity heatmaps, and attack surface data flow visualizations. Use when visualizing code architecture, drawing call graphs, generating class diagrams, creating dependency maps, producing complexity heatmaps, or visualizing data flow and attack surface paths as Mermaid diagrams.InginerieFără avertismente★ 7,7 K↓ —
- zeroize-audittrailofbits/skillsDetects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data.InginerieFără avertismente★ 7,7 K↓ —
- slicing-code-contexttrailofbits/skillsSelects bounded, graph-informed source slices with Trailmark and delegates focused code analysis or patch-proposal work to a smaller subagent. Use when offloading function-, class-, caller-, callee-, call-path-, entrypoint-, or line-focused code tasks to constrained or locally hosted models without exposing the full repository.InginerieFără avertismente★ 7,7 K↓ —
- review-walkthroughtrailofbits/skillsGenerates an interactive HTML walkthrough for reviewing code changes. Use only when explicitly called.InginerieFără avertismente★ 7,7 K↓ —
- supply-chain-risk-auditortrailofbits/skillsAudits a project's dependencies for supply-chain risk: version-matched advisories for direct dependencies and the full lockfile tree, abandoned or archived upstreams, npm publisher concentration, and install-time script execution. Use when asked to audit dependencies, assess supply-chain or third-party package risk, or review a dependency tree before an engagement.InginerieFără avertismente★ 7,7 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↓ —
scikit-learn
K-Dense-AI/scientific-agent-skills
InginerieActualizat acum 4 zile
De la autor
Supports 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.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill scikit-learn -a claude-code
Se instalează în .claude/skills/scikit-learn/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Personalizată sau neclară) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
La ce are acces
Rulează scripturile incluseFolosește rețeauaLicență: Personalizată sau neclară
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 83
Securitate85
Proveniență95
Întreținere100
Licență45
Adopție73
Fișiere (11)
- SKILL.md
- references/common_workflows.md
- references/core_capabilities.md
- references/model_evaluation.md
- references/pipelines_and_composition.md
- references/preprocessing.md
- references/quick_reference.md
- references/supervised_learning.md
- references/unsupervised_learning.md
- scripts/classification_pipeline.py
- scripts/clustering_analysis.py