OpenAgentSkill guide
Best data analysis skills for AI agents
Discover skills for inspecting CSVs, summarizing datasets, creating charts, validating metrics, and helping agents reason over structured data.
When to use this guide
Start from the job, then shortlist the tools.
Profile a dataset
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Generate charts
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Explain business metrics
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Validate spreadsheet outputs
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Shortlist
Top skills to evaluate
Turn any AI Agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build GenBI, agentic BI, text-to-sql, dashboards, and agentic analytics.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
12 Lessons to Get Started Building AI Agents
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
📚 从零开始构建大模型
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Learn Python for the next 30 (or so) Days.
Best fit: Useful candidate, but compare it with alternatives before adopting.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.