Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
11,424 skills from 333 repositories · updated 7 minutes ago
1,196 skills
- code-to-diagramzebbern/claude-code-guideAnalyze codebases and automatically generate architecture diagrams, flowcharts, and org charts. Uses AST parsing to map import dependencies for Python, JS/TS, Go, and Java, outputting Mermaid or SVG files. Triggered when users ask to visualize code architecture, understand dependencies, draw a flowchart, or create a module diagram from source code.EngineeringNo warnings★ 4.7K↓ —
- citation-managementbrycewang-stanford/Auto-Empirical-Research-SkillsUse when adding citations to a .bib file, importing references by DOI, cleaning a bibliography, detecting duplicate entries, or normalizing citation keys. Uses direct .bib manipulation with CrossRef API for metadata resolution — no external tool dependencies.EngineeringNo warnings★ 4.7K↓ —
- 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".EngineeringNo warnings★ 4.7K↓ —
- narrator-ai-cliNarratorAI-Studio/narrator-ai-cli-skillAI 电影/短剧解说视频自动生成（AI 解说大师 CLI Skill）。当用户需要创建电影解说视频、短剧解说、影视二创、AI 配音旁白视频、film commentary、video narration、drama dubbing、movie narration 时触发。内置电影素材库、BGM、多语种配音、解说模板。通过 narrator-ai-cli 命令行实现：搜片→选模板→选 BGM→选配音→生成文案→合成视频的全流程自动化。CLI client for Narrator AI video narration API.EngineeringNo warnings★ 3.1K↓ —
- code-reviewopen-gitagent/opengapReviews code diffs and files for security vulnerabilities (OWASP Top 10), error handling, complexity, naming conventions, and performance issues. Use when the user asks to review a PR, pull request, diff, merge request, or code changes.EngineeringNo warnings★ 3K↓ —
- run-agentopen-gitagent/opengapConfigures and runs agents with different adapters including Claude, OpenAI, CrewAI, Lyzr, and GitHub Models. Supports local execution, remote git repos, and one-shot prompts. Use when the user wants to run an agent, switch LLM providers, configure adapter settings, or launch agents from git repositories.EngineeringNo warnings★ 3K↓ —
- export-agentopen-gitagent/opengapConverts agent definitions between frameworks — exports to Claude Code, OpenAI, CrewAI, Lyzr, and GitHub Models formats, and imports from Claude, Cursor, and CrewAI projects. Use when the user wants to convert an agent, migrate to another framework, export to LangChain/AutoGen/CrewAI, or import from existing automation tools.EngineeringNo warnings★ 3K↓ —
- web-searchopen-gitagent/opengapAdvanced web search using Tavily API for current information retrievalEngineeringNo warnings★ 3K↓ —
- r-performancebrycewang-stanford/Auto-Empirical-Research-SkillsR performance best practices including profiling, benchmarking, vctrs, and optimization strategies. Use when optimizing R code.EngineeringNo warnings★ 4.7K↓ —
- 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.EngineeringNo warnings★ 4.7K↓ —
- obsidian-clibrycewang-stanford/Auto-Empirical-Research-SkillsInteract with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.EngineeringNo warnings★ 4.7K↓ —
- daily-codingbrycewang-stanford/Auto-Empirical-Research-SkillsUse for everyday coding tasks that involve writing or modifying source code.EngineeringNo warnings★ 4.7K↓ —
- 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.EngineeringNo warnings★ 4.7K↓ —
- 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.EngineeringNo warnings★ 4.7K↓ —
- 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".EngineeringNo warnings★ 4.7K↓ —
- unpaywall-apibrycewang-stanford/Auto-Empirical-Research-SkillsFind free legal full-text versions of scholarly articles via UnpaywallEngineeringNo warnings★ 4.7K↓ —
- coding-guidelinesbrycewang-stanford/Auto-Empirical-Research-SkillsStandardized Python & Stata coding practices for empirical research projectsEngineeringNo warnings★ 4.7K↓ —
- 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.EngineeringNo warnings★ 4.7K↓ —
- data-cleaningbrycewang-stanford/Auto-Empirical-Research-SkillsClean and transform messy data for analysis in Python, R, or StataEngineeringNo warnings★ 4.7K↓ —
- 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,EngineeringNo warnings★ 4.7K↓ —
- 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.EngineeringNo warnings★ 4.7K↓ —
- 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.EngineeringNo warnings★ 4.7K↓ —
- lit-reviewbrycewang-stanford/Auto-Empirical-Research-SkillsSummarize academic papers, extract key findings, and identify research gapsEngineeringNo warnings★ 4.7K↓ —
- 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.EngineeringNo warnings★ 4.7K↓ —
coding-guidelines
brycewang-stanford/Auto-Empirical-Research-Skills
EngineeringUpdated 2 days ago
From the author
Standardized Python & Stata coding practices for empirical research projects
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill coding-guidelines -a claude-code
Installs to .claude/skills/coding-guidelines/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyNo network use seenLicence: Custom or unclear
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