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 18 ore
1.543 de skill-uri
- skills-manager-clijiweiyeah/Skills-ManagerDrive the Skills Manager CLI (`skm`) to initialize the hub, adopt unmanaged skills, list/enable/disable skills per AI tool, and doctor/fix symlink sync. Use whenever the user or an agent needs to manage skills from a terminal, SSH session, CI job, or headless machine; when a skill is missing in Claude Code, Codex, Cursor, Gemini, OpenCode, or any other supported tool; when asked to run skm / Skills Manager CLI; or when setting up Skills Manager without the GUI. Do not use for `npx skills` / skills.sh search (different CLI), for writing SKILL.md content (skill-creator), or for marketplace browse/install (not in skm).InginerieFără avertismente★ 1 K↓ —
- cherry-assistant-guideCherryHQ/cherry-studio从当前安装包查询 Cherry Studio 产品信息并排查运行问题。当用户询问功能、路由、快捷键、Provider、语言、Agent、频道、定时任务、Code CLI、当前版本，或报告运行错误、连接失败、配置异常并需要诊断时触发。InginerieVerifică întâi★ 52,9 K↓ —
- jiqizhixin-skillmomozi1996/awesome-ai-persona-skills机器之心/Synced（国内首家系统性AI科技媒体）的AI内容创作思维——论文级深度+量化驱动+学术与产业双线并跑+产品化媒体运营。 触发词：「机器之心视角」「像机器之心那样写」「Synced Review」「AI论文解读」「SOTA评测」「AI产业分析」「GMIS大会」。 擅长：顶会论文拆解报道（ICLR/NeurIPS/CVPR）、AI模型数据评测（SOTA平台）、产业趋势三层推演（技术→商业→生态）、AI中国年度评选、学术中立+产业判断、PRO会员通讯。InginerieFără avertismente★ 987↓ —
- gh-pr-reviewCherryHQ/cherry-studioAutomated Cherry Studio review for local branches, PRs, commits, files, architecture docs, and repository skills. Use for code or documentation reviews that need project-specific naming, main/renderer/shared placement and dependency rules, IpcApi and DataApi boundaries, lifecycle/service ownership, renderer hooks, React/UI conventions, and tests. Review depth adapts to diff size and runtime subagent capability (single-agent or multi-agent reviewer-verifier). Report-only by default; code fixes and GitHub submission each require explicit invocation-time authorization (`fix` / `submit`). Normal-review prompts and safe interruption behavior follow the interaction contract below. To diagnose gaps in the skill after a review session, run `/gh-pr-review diag`.InginerieVerifică întâi★ 52,9 K↓ —
- healthtw93/WazaAudits agent config, instruction drift, hooks or MCP, and AI maintainability. Use when Claude, Codex, or Pi setup looks wrong. Not for application bugs or PR review.InginerieFără avertismente★ 7,3 K↓ —Apare și în 1 alt depozit
- sn-search-codeOpenSenseNova/SenseNova-Skills用于查找代码示例、开源项目、GitHub Issue、技术问答、开发者讨论、HuggingFace 模型/数据集/Space。InginerieFără avertismente★ 5,8 K↓ —
- migrate-nullable-referencesdotnet/skillsEnable nullable reference types in a C# project and systematically resolve all warnings. USE FOR: adopting NRTs in existing codebases, file-by-file or project-wide migration, fixing CS8602/CS8618/CS86xx warnings, annotating APIs for nullability, cleaning up null-forgiving operators, upgrading dependencies with new nullable annotations. DO NOT USE FOR: projects already fully migrated with zero warnings (unless auditing suppressions), fixing a handful of nullable warnings in code that already has NRTs enabled, suppressing warnings without fixing them, C# 7.3 or earlier projects. INVOKES: Get-NullableReadiness.ps1 scanner script.InginerieFără avertismente★ 5,7 K↓ —
- pr-to-mainbreaking-brake/cc-wf-studioCreate a PR to the main branch for feature/fix changes in this pnpm + Changesets monorepo. Use when the user says "PRを作成", "mainにPR", or wants to submit changes for review. Always run this in the monorepo-aware way — identify the affected package(s) and make sure a changeset exists, because the release pipeline is Changesets-driven.InginerieFără avertismente★ 5,4 K↓ —
- pr-review-analysisbreaking-brake/cc-wf-studioAnalyze PR review comments from a GitHub PR URL. Fetch review comments, verify each finding against the actual codebase, assess validity (correct/incorrect/partial), present a structured summary with recommended actions, and optionally reply to each comment on GitHub. Use when given a PR review URL or when asked to check/analyze PR feedback.InginerieFără avertismente★ 5,4 K↓ —
- 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★ 5,3 K↓ —
- stata-runbrycewang-stanford/Auto-Empirical-Research-SkillsRun arbitrary Stata code or a .do file and display the result.InginerieFără avertismente★ 4,7 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★ 4,7 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★ 4,7 K↓ —
- stata-graphbrycewang-stanford/Auto-Empirical-Research-SkillsList, export, and review Stata graphs from the current session.InginerieFără avertismente★ 4,7 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★ 4,7 K↓ —
- lit-reviewbrycewang-stanford/Auto-Empirical-Research-SkillsSummarize academic papers, extract key findings, and identify research gapsInginerieFără avertismente★ 4,7 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★ 4,7 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★ 4,7 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★ 4,7 K↓ —
- data-cleaningbrycewang-stanford/Auto-Empirical-Research-SkillsClean and transform messy data for analysis in Python, R, or StataInginerieFără avertismente★ 4,7 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★ 4,7 K↓ —
- coding-guidelinesbrycewang-stanford/Auto-Empirical-Research-SkillsStandardized Python & Stata coding practices for empirical research projectsInginerieFără avertismente★ 4,7 K↓ —
- unpaywall-apibrycewang-stanford/Auto-Empirical-Research-SkillsFind free legal full-text versions of scholarly articles via UnpaywallInginerieFără avertismente★ 4,7 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↓ —
data-cleaning
brycewang-stanford/Auto-Empirical-Research-Skills
InginerieActualizat acum 3 zile
De la autor
Clean and transform messy data for analysis in Python, R, or Stata
Instalare
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-cleaning -a claude-code
Se instalează în .claude/skills/data-cleaning/ · 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
Verificări de siguranță pe SKILL.md
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De ce 85
Securitate100
Proveniență84
Întreținere100
Licență45
Adopție58
Fișiere (1)
- SKILL.md