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.
12,279 skills from 351 repositories · updated 12 minutes ago
896 skills
- dropshipping-product-researchnexscope-ai/eCommerce-SkillsProduct research for dropshipping businesses. Identify profitable products with reliable suppliers, healthy margins, and manageable competition. Evaluates shipping times, return risk, and marketing viability.ScienceNo warnings★ 1.2K↓ —
- ecommerce-competitor-analysisnexscope-ai/eCommerce-SkillsCross-platform ecommerce competitor analysis and strategic intelligence. Multi-channel presence evaluation, strategy assessment, positioning analysis, and competitive benchmarking. Use when the user asks about competitor analysis, competitive research, market analysis, or competitive intelligence across platforms.ScienceNo warnings★ 1.2K↓ —
- SEMrush AutomationComposioHQ/awesome-claude-skillsAutomate SEO analysis with SEMrush -- research keywords, analyze domain organic rankings, audit backlinks, assess keyword difficulty, and discover related terms through the Composio SEMrush integration.ScienceNo warnings★ 77.6K↓ —
- product-description-generatornexscope-ai/eCommerce-SkillsE-commerce product description generator for any platform. Generates optimized titles, bullet points, descriptions, and backend keywords using competitor research + keyword scoring + FABE copywriting. Two modes: (A) Create — generate listing from product specs with optional competitor analysis, (B) Optimize — improve existing listing with keyword gap analysis. Supports Amazon, eBay, Walmart, Shopify, Etsy, TikTok Shop, Lazada, Shopee. No API key required. Use when: (1) writing a new product listing, (2) analyzing what makes competitors rank, (3) improving an underperforming listing.ScienceNo warnings★ 1.2K↓ —
- content-research-writerMoizIbnYousaf/ai-agent-skillsAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.ScienceNo warnings★ 1.2K↓ —
- Ahrefs AutomationComposioHQ/awesome-claude-skillsAutomate SEO research with Ahrefs -- analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings, and perform batch URL analysis through the Composio Ahrefs integration.ScienceNo warnings★ 77.6K↓ —Also in 1 other repo
- codebase-researcha5c-ai/babysitterSystematic codebase exploration following the Iron Law - understand the problem before exploring code. Four phases with file-finder and web-researcher agents.ScienceNo warnings★ 1.9K↓ —
- ragdolla5c-ai/babysitterRagdoll physics skill for joint constraints and hit reactions.ScienceNo warnings★ 1.9K↓ —
- game-physicsa5c-ai/babysitterImplement game physics systems — rigid body dynamics, collision detection, constraints, ragdoll, and physics-based gameplay mechanics.ScienceNo warnings★ 1.9K↓ —
- unreal-chaosa5c-ai/babysitterUnreal Engine Chaos physics skill for destruction, vehicle simulation, and cloth physics.ScienceNo warnings★ 1.9K↓ —
- research-orchestrationa5c-ai/babysitterBabysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestrationScienceNo warnings★ 1.9K↓ —
- lead-research-assistantComposioHQ/awesome-claude-skillsIdentifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.ScienceNo warnings★ 77.6K↓ —Also in 2 other repos
- thinking-first-principlestjboudreaux/cc-thinking-skillsWhen a constraint is treated as fixed, separate physics from convention, keep only independently supported primitives, and rebuild the simplest solution that satisfies real constraints.ScienceNo warnings★ 1.7K↓ —
- thinking-scientific-methodtjboudreaux/cc-thinking-skillsWhen a symptom has several plausible causes, rank falsifiable hypotheses and run the cheapest discriminating observation first; prefer least-assumptive survivors only after evidence fit.ScienceNo warnings★ 1.7K↓ —
- deepseek-harnessDevin-AXIS/iPolloWorkLet the OpenCode host delegate code review, development, and research tasks to DeepSeek Harness.ScienceNo warnings★ 7.1K↓ —
- jev-decisionDevin-AXIS/iPolloWorkUse Jev to select among available tools, skills or agents, or evaluate outputs against explicit rubrics. Use when the user requests Jev or a bounded decision would help; not for open-ended writing or research.ScienceNo warnings★ 7.1K↓ —
- context7-docs-researchDevin-AXIS/iPolloWorkResolve the correct library and retrieve a small, relevant set of version-aware official documentation before answering a technical question.ScienceNo warnings★ 7.1K↓ —
- content-research-writerComposioHQ/awesome-claude-skillsAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.ScienceNo warnings★ 77.6K↓ —Also in 3 other repos
- econfin-idea-finderbrycewang-stanford/Auto-Empirical-Research-Skills公司金融实证研究的"漏斗式选题查找器"。互动开场先后询问 (1) 研究方向、(2) 候选标题数量 N， 再扫描全球文献（已出版英文学术期刊 + SSRN working paper + 全球高校 department seminar 1 年内日程），基于 Edmans (2024) "1000 Rejections" 红线生成 N 个候选标题，**通过并行 subagent（Agent 工具）批量生成计划书 + 查新；每个 subagent 必须强制调用 Skill 工具加载 econfin-proposal 与 novelty-check 两个预设 skill 完成各自模块**，**只有当 novelty score >= 9 时（即 JF/JFE/RFS 顶刊层次），subagent 才把 proposal + 查新报告合并的 md 写入 F:\Dropbox\CC\选题大全\<研究方向短名>\（以"简短选题名称-分数"命名，子文件夹名由 Step 0 从用户输入的研究方向派生）；< 9 分的选题在 subagent 内部直接丢弃，绝不写盘、绝不输出**。当用户说"找选题"、"帮我找选题"、"想做 X 方向"、 "empirical CF idea search"、"批量生成研究计划书"、"100 ideas"、"econfin-idea-finder" 时触发。ScienceNo warnings★ 4.7K↓ —
- assess-outlinebrycewang-stanford/Auto-Empirical-Research-SkillsAssesses a research paper outline (.qmd file) against structured criteria from Kosuke Imai's empirical research guide. Evaluates the abstract and section outline for: research question clarity, stated contributions, hypotheses and testable implications, data description, planned results and inferential approach, and robustness checks. Detects causal papers from the abstract and conditionally assesses identification strategy only when causal framing is present. Produces a structured markdown report with PASS/PARTIAL/FAIL assessments and actionable suggestions. Use when asked to assess, evaluate, review, or check a paper outline, abstract-and-outline, or research plan in a .qmd file.ScienceNo warnings★ 4.7K↓ —
- journal-selectionbrycewang-stanford/Auto-Empirical-Research-SkillsUse when choosing a target journal for a paper, comparing journal rankings, asking "where should I submit this", or building a submission strategy across multiple journals. Field-agnostic — detects the paper's research area and suggests appropriate outlets across tiers.ScienceNo warnings★ 4.7K↓ —
- academic-paper-verifybrycewang-stanford/Auto-Empirical-Research-SkillsThoroughly verify all code, tables, figures, modeling decisions, and quantitative claims in an academic paper against its source R scripts and output files. Use this skill whenever you need to audit, replicate, or verify an academic research paper - including cross-checking LaTeX tables against R output, validating econometric modeling choices, ensuring sample sizes are consistent, building a verification manifest, and running automated replication tests. Trigger this skill for any mention of: paper verification, replication check, table audit, code-paper consistency, reproducing results, verifying estimates, checking coefficients, or any variant of "does the paper match the code."ScienceNo warnings★ 4.7K↓ —
- paper-summarybrycewang-stanford/Auto-Empirical-Research-SkillsWrites expert academic paper summaries for social science research, particularly political science and applied statistics. Use when asked to summarize, review, or create a reading summary of an academic paper, PDF, or research article. Accepts a file (PDF or text format) or a directory of papers. Produces a structured markdown summary — approximately 400–600 words — covering primary contributions, major questions and answers with point estimates, methods and data, and limitations and robustness. Includes BibTeX citation retrieved from Google Scholar and keyword metadata.ScienceNo warnings★ 4.7K↓ —
- stata-power-analysisbrycewang-stanford/Auto-Empirical-Research-SkillsPlan and critique power, MDE, and sample-size calculations for Stata-based research workflows. Use when the user is designing a study, checking detectability, or defending precision claims.ScienceNo warnings★ 4.7K↓ —
paper-writer
brycewang-stanford/Auto-Empirical-Research-Skills
ScienceUpdated 2 days ago
From the author
Automatically write empirical sections of academic papers in LaTeX by reading tables/figures from a PDF. Trigger when user wants to write a paper from empirical results, has tables/figures in PDF, or says "write paper" / "paper-writer" / "写论文".
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill paper-writer -a claude-code
Installs to .claude/skills/paper-writer/ · 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
Runs bundled scriptsNo network use seenLicence: Custom or unclear
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Files (4)
- SKILL.md
- prompt.txt
- references/prompt_templates.md
- scripts/pdf_to_images.py