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.
32.113 skill-uri din 1.400 de depozite · actualizat acum 5 minute
3.437 de skill-uri
- master-thesis-reviewbrycewang-stanford/Auto-Empirical-Research-SkillsGenerate master's thesis review reports (硕士论文评阅意见) calibrated to a given score. Outputs academic evaluation and shortcomings/suggestions in Chinese. Trigger when user says "master thesis review" / "硕士论文评阅" / "论文评阅" / "评阅意见" / "thesis review".InginerieFără avertismente★ 4,8 K↓ —
- idea-discovery-robotbrycewang-stanford/Auto-Empirical-Research-SkillsWorkflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says "robotics idea discovery", "机器人找idea", "embodied AI idea", "机器人方向探索", "sim2real 选题", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.InginerieFără avertismente★ 4,8 K↓ —
- auto-review-loop-llmbrycewang-stanford/Auto-Empirical-Research-SkillsAutonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".InginerieFără avertismente★ 4,8 K↓ —
- koa-typescriptMindrally/skillsGuidelines for building modern APIs with Koa.js and TypeScript, featuring the onion middleware model and async/await patternsInginerieFără avertismente★ 286↓ —
- unpaywall-apibrycewang-stanford/Auto-Empirical-Research-SkillsFind free legal full-text versions of scholarly articles via UnpaywallInginerieFără avertismente★ 4,8 K↓ —
- coding-guidelinesbrycewang-stanford/Auto-Empirical-Research-SkillsStandardized Python & Stata coding practices for empirical research projectsInginerieFără avertismente★ 4,8 K↓ —
- auto-review-loopbrycewang-stanford/Auto-Empirical-Research-SkillsAutonomous multi-round research review loop. Repeatedly reviews via Codex MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.InginerieFără avertismente★ 4,8 K↓ —
- data-cleaningbrycewang-stanford/Auto-Empirical-Research-SkillsClean and transform messy data for analysis in Python, R, or StataInginerieFără avertismente★ 4,8 K↓ —
- stata-modernizebrycewang-stanford/Auto-Empirical-Research-SkillsImprove, modernize, and optimize existing Stata code for performance, portability, and maintainability. Use when legacy patterns such as preserve/restore, cd,InginerieFără avertismente★ 4,8 K↓ —
- comm-lit-review-claude-singlebrycewang-stanford/Auto-Empirical-Research-SkillsCommunications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, related work, a survey, or a landscape summary. Search Zotero, Obsidian, and local paper folders first when available, then search IEEE Xplore, ScienceDirect, ACM Digital Library, and broader web in that order.InginerieFără avertismente★ 4,8 K↓ —
- python-uvMindrally/skillsGuidelines for Python dependency management using uv, the fast Python package installer and resolver.InginerieFără avertismente★ 286↓ —
- lit-reviewbrycewang-stanford/Auto-Empirical-Research-SkillsSummarize academic papers, extract key findings, and identify research gapsInginerieFără avertismente★ 4,8 K↓ —
- pr-reviewMindrally/skillsFocused pull request review practices with severity-ranked, file-and-line-cited findings across four angles: security, performance, tests, and architecture. Use when asked to review a pull request, review a diff or set of changes, review "this PR," or provide a code review before merge.InginerieFără avertismente★ 286↓ —
- system-profilebrycewang-stanford/Auto-Empirical-Research-SkillsProfile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", or wants performance analysis.InginerieFără avertismente★ 4,8 K↓ —
- python-econ-computingbrycewang-stanford/Auto-Empirical-Research-SkillsUse when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysisInginerieFără avertismente★ 4,8 K↓ —
- stata-setupbrycewang-stanford/Auto-Empirical-Research-SkillsInstall, configure, update, or verify mcp-stata across Claude Code, Codex, Gemini CLI, Cursor, Windsurf, and VS Code. Activate when users ask to set up the Stata toolkit or troubleshoot the installation.InginerieFără avertismente★ 4,8 K↓ —
- exam-reviewZeKaiNie/universal-examprep-skill考前复盘已记录错题与概念疑难：重做原题、复述疑难、更新已订正/已回顾/待回顾状态，并形成最后扫雷清单。 进入最终复习阶段或用户要求复盘、查漏补缺时使用。InginerieFără avertismente★ 317↓ —
- three-jsMindrally/skillsExpert guidance for Three.js and React Three Fiber development with modern React, TypeScript, and performance best practicesInginerieFără avertismente★ 286↓ —
- stata-graphbrycewang-stanford/Auto-Empirical-Research-SkillsList, export, and review Stata graphs from the current session.InginerieFără avertismente★ 4,8 K↓ —
- literature-reviewbrycewang-stanford/Auto-Empirical-Research-Skills帮助用户撰写高质量的文献综述类论文。提供从选题、文献检索、评估筛选、结构规划到最终写作的全流程指导。适用于需要撰写独立文献综述论文或学术论文中文献综述部分的用户。InginerieFără avertismente★ 4,8 K↓ —
- rest-api-djangoMindrally/skillsComprehensive guidelines for Django REST API development covering project structure, views, models, serializers, authentication, performance, and error handling.InginerieFără avertismente★ 286↓ —
- gravitas-pythonudaysharmadev/GravitasGRAVITAS extension for Python projects. Adds Python-specific recon, type checking with mypy/pyright, ruff/flake8 lint, pytest patterns, and common Python failure modes. Load in addition to the base GRAVITAS skill.InginerieFără avertismente★ 333↓ —
- canvas-course-qcvishalsachdev/canvas-mcpLearning designer quality check for Canvas LMS courses. Audits module structure, content completeness, publishing state, date consistency, and rubric coverage. Use when asked to "QC a course", "is this course ready", "pre-semester check", or "quality review".InginerieFără avertismente★ 307↓ —
- monorepoMindrally/skillsBest practices for monorepo development with TypeScript, React, Next.js, Expo, Turbo, and related technologiesInginerieFără avertismente★ 286↓ —