CC-Wiki: Turn Claude Code Sessions into a Shareable Quartz Knowledge Base
CC-Wiki is a Claude Code skill + Quartz template that converts your local ~/.claude session history into a shareable static wiki. It's designed for developers who use Claude Code for deep research and want to package those sessions into a reusable, arXiv-like knowledge base without context loss.
Installation & Usage
Install with a single curl pipe — no prerequisites beyond Claude Code, Python 3.9+, and Node 22+:
curl -fsSL https://raw.githubusercontent.com/tejpalv/cc-wiki/main/install.sh | bashThen, inside any active Claude Code session, invoke the skill:
/cc-wikiThis processes your ~/.claude sessions and builds a static Quartz-based site at a configurable output directory.
Key Details
- No pip dependencies — uses only Python standard library.
- Quartz site requires Node 22+ for the static site generation.
- The generated wiki is static HTML, ready to be hosted on any static file server (GitHub Pages, Netlify, etc.).
- Built on Quartz by Jacky Zhao, a popular digital-garden framework.
- License: MIT.
- OS support: macOS and Linux.
Motivation
The author needed a way to share deep research output produced with Claude Code, both for team use and personal re-use in future sessions. CC-Wiki solves that by formalizing the conversion and providing a ready-to-use template.
Who It's For
Claude Code users who want to archive and share their AI-assisted research sessions without manual formatting.
📖 Read the full source: HN AI Agents
👀 See Also
agentcache: Python Library for Multi-Agent LLM Prefix Caching
agentcache is a Python library that enables multi-agent LLM frameworks to share cached prompt prefixes, achieving up to 76% cache hit rates and cutting inference time by more than half in tests with GPT-4o-mini.
OpenClaw 2.0 Brings Browser UI and Shared Sessions — Is It Worth Coming Back To?
OpenClaw 2.0 adds a browser-based interface and shared cloud sessions with context handoff. Setup works with existing ChatGPT, Claude, or API keys, according to the announcement.
Agent frameworks waste 350,000+ tokens per session resending static files
A benchmark on a local Qwen 3.5 122B setup revealed agent frameworks waste over 350,000 tokens per session by resending static files. A compile-time approach reduced query context from 1,373 tokens to 73, achieving a 95% reduction.
Mike: Open-Source Legal AI with Self-Hosting, Multi-Model Support
Mike is an open-source alternative to Harvey and Legora, offering document chat, tabular extraction, and workflow templates — all self-hostable with your own Claude or Gemini API keys.