OpenClaw Multi-Agent Book Writing Skill Released
The multi-agent book writing system built on OpenClaw has been polished and released as a skill. This tool is available at clawhub.ai/chunhualiao/git-repo-to-book.
Key Features
- DeepWiki MCP connection: Integrates with DeepWiki via the Model Context Protocol, allowing the system to access and incorporate information from external knowledge bases during the writing process.
- GLM image generator for better illustration: Uses GLM (likely referring to a Generative Language Model with multimodal capabilities) to create images that complement the text, improving visual content in generated books.
- Budget estimation: Provides cost projections for running the multi-agent system, which is particularly useful given that LLM API calls and image generation can incur expenses.
- Chapter level revision: Enables targeted editing and refinement at the chapter granularity rather than requiring full-book regeneration.
Two chapters have been updated using this skill in the OpenClaw Paradigm Book repository at github.com/chunhualiao/openclaw-paradigm-book. This demonstrates a practical application where the system can maintain and improve existing documentation.
Multi-agent systems for content generation typically involve specialized agents handling different tasks—such as research, writing, editing, and illustration—coordinated through a central controller. The release of this as a "skill" suggests it's designed to be integrated into broader OpenClaw workflows rather than used as a standalone application. For developers working with AI coding agents, tools like this can automate documentation creation, tutorial writing, or technical book drafting by leveraging multiple AI models in a coordinated pipeline.
📖 Read the full source: r/openclaw
👀 See Also
OpenClaw's atoship skill turns AI assistant into shipping manager
The atoship skill for OpenClaw allows users to describe shipping needs in plain English, then handles carrier selection, rate comparison, label purchase, and tracking. Example commands include 'ship this 1lb box to New York, cheapest option'.
RelayCode VS Code Extension Routes Claude Code Through Sovereign RDUs
OpenGPU has released RelayCode, a VS Code extension that acts as a local proxy to route Claude Code or Copilot requests through their decentralized network to open-weight models like DeepSeek-R1 and MiniMax M2.5 running on sovereign reconfigurable dataflow units.
Mengram adds persistent memory to OpenClaw agents
Mengram is an open-source memory system that gives OpenClaw agents long-term memory across sessions, solving the problem of agents forgetting everything when they restart. It provides episodic, entity, and procedural memory with smart archival of outdated facts.
Lumyr: Dashboard Generation via Claude with Python and Streamlit Automation
Lumyr is a tool that generates live, shareable dashboards from plain English descriptions using Claude for dashboard generation and automating the Python and Streamlit layer. Users don't need to write Python, open Streamlit, deploy, set up hosting, or manage infrastructure.