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.
30.350 de skill-uri din 1.275 de depozite · actualizat acum 2 minute
3.227 de skill-uri
- markdown-unwrapbrycewang-stanford/Auto-Empirical-Research-SkillsUnwraps hard-wrapped markdown files so that each sentence ends with a newline instead of mid-sentence line breaks. Joins continuation lines within a paragraph into single lines, then re-breaks at sentence boundaries (period, question mark, exclamation point). Preserves blank lines, headings, fenced code blocks, block quotes, and list items. Use when asked to unwrap text, fix line breaks, reflow sentences, or clean up hard-wrapped markdown or .qmd files.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↓ —
- 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↓ —
- 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-uvMindrally/skillsGuidelines for Python dependency management using uv, the fast Python package installer and resolver.InginerieFără avertismente★ 286↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- review-rfcnurettincoban/ai-prd-workflowReview an implemented RFC in a fresh context against its acceptance criteria, RULES.md and the test plan, and save the review to reviews/.InginerieFără avertismente★ 305↓ —
- three-jsMindrally/skillsExpert guidance for Three.js and React Three Fiber development with modern React, TypeScript, and performance best practicesInginerieFără avertismente★ 286↓ —
- 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↓ —
- 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↓ —
- stata-runbrycewang-stanford/Auto-Empirical-Research-SkillsRun arbitrary Stata code or a .do file and display the result.InginerieFără avertismente★ 4,8 K↓ —
- monorepoMindrally/skillsBest practices for monorepo development with TypeScript, React, Next.js, Expo, Turbo, and related technologiesInginerieFără avertismente★ 286↓ —
- literature-reviewaipoch/open-scienceFind, verify, and synthesize scientific literature — from "what's the seminal paper for X" through full multi-source reviews. Covers grounding claims in real retrieved sources, avoiding fabricated citations, handling retractions, and calibrating confidence to evidence strength.InginerieFără avertismente★ 5,4 K↓ —
- typeormMindrally/skillsGuidelines for developing with TypeORM, a full-featured ORM for TypeScript and JavaScript supporting multiple databasesInginerieFără avertismente★ 286↓ —