AI Agent Skills

Structured data extraction and instruction calling with ML, LLM and Vision LLM

:trophy: A markdown parser written in Go. Easy to extend, standard(CommonMark) compliant, well structured.

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest re…

Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

🎼 一款结构化的 Markdown 引擎，支持 Go 和 JavaScript。A structured Markdown engine that supports Go and JavaScript.

Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to trad…

Synthetic data curation for post-training and structured data extraction

Route a content idea through topic capture, research, production planning, publishing, and archive steps for a video content workspace.

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

Synthesize settled context into a behavior-focused spec for an engineering agent.

This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our…

A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you nee…

🔥 The open-source no-code platform for web scraping, crawling, search and AI data extraction • Turn websites into structured APIs in minutes 🔥

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching…

Turn any webpage into structured data using LLMs