Awesome-Agent-Skills-for-Empirical 是做什麼的？
Explore 119 AI agent skills for empirical research workflows, from data collection to analysis, writing, and review
Explore 119 AI agent skills for empirical research workflows, from data collection to analysis, writing, and review
Awesome-Agent-Skills-for-Empirical is a Claude Code agent skill that explore 119 AI agent skills for empirical research workflows, from data collection to analysis, writing, and review.
npx skills add Servicechargechenopodiales606/Awesome-Agent-Skills-for-Empirical-ResearchInstalled? Explore more 寫作與編輯 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
Explore 119 AI agent skills for empirical research workflows, from data collection to analysis, writing, and review
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