Andrew Ng's skills help AI agents extract structured data and Markdown from PDFs, spreadsheets and images, build parallel and classify-then-extract document pipelines prepared for RAG systems, and run web search, crawling and content extraction through Tavily. Other skills cover Flutter Riverpod state management, electronic component sourcing via parts-mcp, Olakai agent monitoring, CI/CD deployment and Playwright login automation. His most popular work centers on document processing, with layout-aware parsing and schema-based field extraction as recurring themes.
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11 skills · 13,985 stars · MIT
Bloc Cubit Use when working with Flutter Bloc/Cubit state management.
Deploy Deployment automation skill for CI/CD pipelines
Document Workflows Use this skill for building end-to-end document processing workflows and pipelines using LandingA…
Electronics Sourcing Guide for AI agents to source electronic components using parts-mcp — tool sequencing, decision p…
Extract data and Markdown from PDF files, Acrobat and PdfCraft Parse scanned and digital PDFs into Markdown and schema-based fields with Python, no templates
Get Api Docs Use this skill to get documentation for third-party APIs, SDKs or libraries before writing code t…
Integrate Add Olakai monitoring to existing AI code — wrap your LLM client, configure custom KPIs, and vali…
Login Flows Common login automation patterns for web apps using Playwright
New Project Build a new AI agent with Olakai monitoring from scratch — project setup, SDK integration, KPI co…
Riverpod Use when working with Flutter Riverpod state management.
Tavily Best Practices Build production-ready Tavily integrations with best practices for web search, content extraction…