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.
29.312 skill-uri din 1.204 depozite · actualizat acum 2 minute
3.211 skill-uri
- apollo-graphqlMindrally/skillsGuidelines for developing GraphQL APIs and React applications using Apollo Client for state management, data fetching, and cachingInginerieFără avertismente★ 286↓ —
- auto-review-loop-minimaxbrycewang-stanford/Auto-Empirical-Research-SkillsAutonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".InginerieFără avertismente★ 4,8 K↓ —
- trailsnap-commitLC044/TrailSnapTrailSnap 需求规格、Agent 编码交付、提交与 PR 工作流。Use when implementing TrailSnap requirements, managing platform requirements and acceptance criteria, preparing commits, pushing branches, creating pull requests, or monitoring PR CI in this repository.InginerieFără avertismente★ 803↓ —
- react-router-v7Mindrally/skillsReact Router v7 framework mode conventions for route modules, data loaders, actions, and progressive enhancement. Use when building file-based routes with loaders/actions, handling form submissions with Form/useFetcher/useSubmit, adding route ErrorBoundary components, revalidating data after mutations, or migrating Remix-style route modules to React Router v7.InginerieFără avertismente★ 286↓ —
- r-performancebrycewang-stanford/Auto-Empirical-Research-SkillsR performance best practices including profiling, benchmarking, vctrs, and optimization strategies. Use when optimizing R code.InginerieFără avertismente★ 4,8 K↓ —
- reviewbrycewang-stanford/Auto-Empirical-Research-SkillsAll quality reviews — routes to appropriate critics based on target file type and flags. Replaces /paper-excellence, /proofread, /econometrics-check, /review-r, /review-paper.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↓ —
- nxMindrally/skillsBest practices for Nx monorepo development, project configuration, and code generationInginerieFără avertismente★ 286↓ —
- daily-codingbrycewang-stanford/Auto-Empirical-Research-SkillsUse for everyday coding tasks that involve writing or modifying source code.InginerieFără avertismente★ 4,8 K↓ —
- 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↓ —
- 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↓ —
- sealeap-apollo-amazon-review-mediaxjli360/sealeap-amazon-skills抓取 Amazon 商品评论、图片评论和视频评论，沉淀 VOC 证据。用于Amazon 评论与媒体采集相关的 Amazon 数据查询、核验和分析。InginerieFără avertismente★ 318↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- stata-graphbrycewang-stanford/Auto-Empirical-Research-SkillsList, export, and review Stata graphs from the current session.InginerieFără avertismente★ 4,8 K↓ —
- python-uvMindrally/skillsGuidelines for Python dependency management using uv, the fast Python package installer and resolver.InginerieFără avertismente★ 286↓ —
coding-guidelines
brycewang-stanford/Auto-Empirical-Research-Skills
InginerieActualizat acum 4 zile
De la autor
Standardized Python & Stata coding practices for empirical research projects
Instalare
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill coding-guidelines -a claude-code
Se instalează în .claude/skills/coding-guidelines/ · 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
Doar instrucțiuniNu am văzut acces la rețeaLicență: Personalizată sau neclară
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De ce 85
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- SKILL.md