llm-wiki管理 Karpathy LLM-Wiki 理念知识库,四大操作包括:初始化项目、摄入新原始资料(编译为 wiki 页面)、回答基于 wiki 的查询、执行健康检查(lint)。当用户想要初始化知识库、ingest/摄入新文章或笔记、从 wiki 查询知识、维护 wiki 健康、或提到 llm-wiki / llm_wiki / schema.md / 第二大脑 / Karpathy wiki / Obsidian wiki / 知识编译 时,必须使用此技能。即使用户只说"帮我把这篇文章加进 wiki"或"wiki 里有关于 X 的内容吗",也要触发此技能。
Install via ClawdBot CLI:
clawdbot install nkhoit/llm-wikiGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://www.apple.com/DTDs/PropertyList-1.0.dtdAudited Apr 16, 2026 · audit v1.0
Generated May 6, 2026
A professional uses the wiki to compile research, meeting notes, and technical references from various sources into a structured, searchable personal knowledge base. The LLM auto-lints for consistency and cross-links related articles, ensuring information stays current and connected.
A small team maintains a shared wiki to document processes, project details, and best practices. The agent ingests raw notes from meetings and Slack threads, files them into appropriate topics, and updates cross-references, acting as a central knowledge curator.
A researcher collects papers, summaries, and data from multiple experiments. The LLM compiles raw sources into topic-organized articles, flags contradictions in findings, and suggests new articles for emerging subfields, maintaining a living literature review.
A support team uses the wiki to document troubleshooting steps, known issues, and product FAQs. The agent synthesizes long tickets into concise articles, updates existing guides when new solutions are found, and runs linting to keep information accurate and up-to-date.
An individual tracks health data, diet experiments, and fitness routines. The wiki files insights from research articles and personal logs, cross-references progress over time, and flags contradicting advice from different sources, helping aggregate personalized health knowledge.
Offer a hosted version of the wiki system as a monthly subscription for individual users. Includes automatic LLM-powered ingestion, linting, and cross-referencing, with storage and build services on the cloud.
Provide a multi-user wiki with role-based access controls, shared workspaces, and team collaboration features. The LLM agent manages contributions from multiple team members, enforcing consistency and reducing duplication.
Offer setup services for organizations that want the wiki integrated with their existing tools (Slack, Notion, Git repos). Includes customizing linting rules, importing legacy documentation, and training team members.
💬 Integration Tip
Integrate with your agent's heartbeat cycle for automatic daily linting, and wire the wiki to your messaging platform (e.g., Slack) to offer filing suggestions from conversations.
Scored May 6, 2026
Work with Obsidian vaults (plain Markdown notes) and automate via notesmd-cli.
Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.
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把一本书里沉淀的方法论蒸馏成一组原子化、可被Agent调用的skills,同时产出给人看的笔记和话术库。触发:用户说'帮我拆《XX》''把XX蒸馏成skill''distill this book into skills'时。不做书摘/读后感/作者人设角色扮演。