AI Agent Skills

Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowled…

CLI and local web plain text note‑taking, bookmarking, and archiving with linking, tagging, filtering, search, Git versioning & syncing, Pandoc conversion, + more, in a…

A free, open-source developer workspace. Snippets, notes, HTTP requests, calculations, and dev tools in one local-first app.

The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.

A simple command line notebook

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interli…

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Agent Skills-compatible LLM wiki for Claude Code, Cursor, and Codex. Build a Karpathy-style knowledge base from raw sources, citations, and linting.

YC S26 | WUPHF is a collaborative office of AI employees who build and maintain their own knowledge base to never lose context for the tasks you give them. Supports Clau…

Claude Code plugin that generates individualized knowledge systems from conversation. You describe how you think and work, have a conversation and get a complete second…

从 12,307 条推文中提炼的商业诊断方法论，做成 Claude Code skill。包含商业模式诊断、对标分析、内容创作诊断、执行力诊断、概念拆解 5 个工具。附带 4,176 个结构化知识原子，可用于 RAG 知识库。

A minimalist command line knowledge base manager

Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki.

AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security.…

Embrace a docs-as-code approach to build, version, and publish Git-driven documentation sites using Markdown and a visual editor

Procedural memory for AI coding agents: transforms scattered session history into persistent, cross-agent memory so every agent learns from every other