🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines.
This skill provides access to a vast, curated library of over 23,000 agent skills specifically designed for empirical research in the social sciences. It covers eight major disciplines, enabling AI agents like Cursor, Claude Code, and Codex to automate various research tasks such as data analysis, literature review, statistical modeling, and reproducible paper generation. Developed by CoPaper.AI from Stanford REAP, the skill empowers researchers to rapidly produce standard, reproducible empirical papers within 20 minutes. It also supports user-uploaded skills, making it a flexible and extensible toolkit for accelerating academic research workflows.
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🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. CoPaper.AI completes a reproducible standard empirical paper in 20 minutes and supports user-uploaded Skills. -- Maintained by CoPaper.AI from Stanford REAP.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors