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create-opc-wiki创建 opc 维基

Agent Skill

create-opc-wiki 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,687

周安装

71

GitHub Stars

公开资料未说明

下载量

591
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:create-opc-wiki(创建 opc 维基)
来源仓库:https://github.com/mackding/create-opc-wiki
安装命令:
openclaw skills install create-opc-wiki
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install create-opc-wiki

简介

搭建个人 LLM wiki 知识库支持多代理协作与 SEO 发布目标。

  • 编译碎片化知识为结构化文档而非简单问答式交互界面。
  • 适用于研究者、工程师与创作者构建长期演进的知识资产体系。
  • 内置 MCP 协议兼容设计便于后续集成外部工具链扩展能力。
  • 初始阶段建议采用 Karpathy 模式聚焦核心领域深度沉淀内容。

SKILL.md

name
create-opc-wiki
description
Scaffold a personal LLM wiki (Karpathy pattern) — multi-agent, MCP-ready, with SEO/GEO publish target. Compiles knowledge into a persistent wiki instead of re-deriving from raw docs on every query. One paste from any agent (OpenClaw, Claude Code, Codex, Cursor, Hermes) installs it.

create-opc-wiki

Scaffold a personal LLM wiki on the Karpathy pattern in 30 seconds. Multi-agent native, MCP server built-in, SEO/GEO-optimized publish target.

What this skill does

Run the scaffolder against any folder and you get a complete personal-knowledge-base vault:

  • agent-rules/main.md — single source of truth, synced to 9 agent file formats (CLAUDE.md, AGENTS.md, .cursor/rules/main.mdc, .cursorrules, .github/copilot-instructions.md, .trae/rules.md, .openclaw/rules.md, .hermes/agent.md)
  • Three reusable skills: /wiki-ingest, /wiki-query, /wiki-lint
  • Five source recipes: arXiv paper, X thread, YouTube transcript, RSS article, podcast transcript
  • Privacy-tagged frontmatter: public | private | secret
  • An MCP server with three tools (wiki_query, wiki_list, wiki_read) and a hard privacy gate (privacy: secret pages never leave the box)
  • Optional Astro static site target with sitemap.xml, llms.txt, robots.txt, RSS feed, OpenGraph + JSON-LD per page

How to invoke

The skill wraps the published npm package create-opc-wiki@latest. From any agent that can run a shell command:

npx -y create-opc-wiki@latest <path> --yes --agents=openclaw,claude,codex,cursor

Common one-liners:

AgentCommand
OpenClawnpx -y create-opc-wiki@latest ~/wiki --yes --agents=openclaw,claude
Claude Codenpx -y create-opc-wiki@latest ~/wiki --yes --agents=claude
Codex CLInpx -y create-opc-wiki@latest ~/wiki --yes --agents=codex
Cursornpx -y create-opc-wiki@latest ~/wiki --yes --agents=cursor
All of themnpx -y create-opc-wiki@latest ~/wiki --yes --agents=openclaw,claude,codex,cursor,hermes,vscode,trae

Add --no-mcp, --no-site, --no-recipes, or --no-git to skip those layers. --json emits machine-readable result on stdout.

How to use the generated vault

  1. Open the folder in Obsidian (it's a valid Obsidian vault) — and/or
  2. Open the folder in your AI agent (it reads CLAUDE.md / AGENTS.md / .openclaw/rules.md / etc.)
  3. From inside the agent, use the three skills:

- /wiki-ingest <url-or-file> — drop a new source, agent files it into raw/ and synthesizes wiki pages - /wiki-query <question> — natural-language query across compiled wiki - /wiki-lint — health-check (contradictions, stale speculative claims, orphan pages)

The MCP server in mcp/server.mjs exposes the wiki to any MCP client (Claude Desktop, Cursor, Codex). Run npm install && npm start from the mcp/ directory.

Why a wiki and not just RAG

Most LLM-on-files setups re-derive answers from raw docs at every query. There's no accumulation. Quoting Karpathy's gist:

The LLM incrementally builds and maintains a persistent wiki — a structured, interlinked collection of markdown files that sits between you and the raw sources. The wiki keeps getting richer with every source you add and every question you ask.

This skill operationalizes exactly that, with concrete choices for ontology, agent rules, MCP, and publishing.

Privacy & security

  • privacy: secret pages never returned by the MCP server (enforced at mcp/server.mjs:38)
  • privacy: public is the only level that publishes (enforced at site/build.mjs:53)
  • Default frontmatter privacy is private — nothing publishes by accident
  • The scaffolder runs once, locally, and exits — no telemetry, no network calls during scaffolding except the optional npm install you trigger yourself

Links

  • npm: <https://www.npmjs.com/package/create-opc-wiki>
  • GitHub: <https://github.com/MackDing/create-opc-wiki>
  • Inspiration: <https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f>
  • Stability scope: see STABILITY.md in the repo for the semver-stable surface
  • Per-agent install recipes: see docs/INSTALL-FOR-AGENTS.md in the repo

License

MIT. Inspired by Andrej Karpathy's "LLM Wiki" gist; implementation choices are this project's. Full attribution in INSPIRATION.md.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.76%
按下载量换算513

安全审计

VirusTotal

未展示

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install create-opc-wiki 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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