Token导航 LogoToken导航

Agent Skill · 研究检索

llm-wiki-skill(LLM wiki 技能)

llm-wiki-skill 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

llm-wiki-skill 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 18,232。

总安装 6,201周安装 261GitHub Stars 39下载 2,172核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:llm-wiki-skill(LLM wiki 技能)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/llm-wiki-skill
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill llm-wiki-skill
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/aradotso/trending-skills --skill llm-wiki-skill

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

llm-wiki-skill 构建持久化个人知识库,支持多源内容整合。自动解析文章、PDF、推文、视频字幕等格式,生成带双向链接的结构化页面。采用 Karpathy 提出的 llm-wiki 方法论,一次编译长期维护。路由机制根据内容类型选择最优提取工具,提升准确性。适用于研究笔记、项目知识沉淀与跨会话信息复用场景。

来源仓库内路径:skills/llm-wiki-skill

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/aradotso/trending-skills --skill llm-wiki-skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

llm-wiki-skill 怎么安装?

在终端执行 npx skills add https://github.com/aradotso/trending-skills --skill llm-wiki-skill。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

llm-wiki-skill 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

llm-wiki-skill 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

llm-wiki-skill 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

llm-wiki-skill 用的人多吗?

公开数据是累计安装 6,201 次,近一周安装 261 次,下载 2,172 次,GitHub 39 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

llm-wiki-skill 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
llm-wiki-skill

LLM wiki 技能 · 本页

6,20139需要联网未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

llm-wiki-skill — Multi-Platform Knowledge Base Builder

Skill by ara.so — Daily 2026 Skills collection.

Build a persistent, interlinked personal knowledge base from URLs, PDFs, markdown files, and raw text. Based on Karpathy's llm-wiki methodology: knowledge is compiled once and maintained, not re-derived from raw docs on every query.

What It Does

  • Ingests articles, tweets, PDFs, YouTube transcripts, WeChat posts, and plain text
  • Routes each source type to the best extraction tool automatically
  • Generates structured wiki pages with [[bidirectional links]]
  • Produces entity pages, topic pages, source summaries, and comparisons
  • Outputs Obsidian-compatible local markdown files
  • Detects orphaned pages, broken links, and contradictions via health checks

Installation

Recommended: Let Your Agent Install It

Give your agent the repo URL and ask it to install for your platform:

https://github.com/sdyckjq-lab/llm-wiki-skill

Manual Installation

Clone the repo anywhere, then run the installer for your platform:

# Claude Code
bash install.sh --platform claude

# Codex
bash install.sh --platform codex

# OpenClaw
bash install.sh --platform openclaw

# Auto-detect (only if one platform directory exists)
bash install.sh --platform auto

# Custom target directory (OpenClaw non-standard path)
bash install.sh --platform openclaw --target-dir /path/to/your/skills

Default Install Locations

PlatformPath
Claude Code~/.claude/skills/llm-wiki
Codex~/.codex/skills/llm-wiki
OpenClaw~/.openclaw/skills/llm-wiki

Legacy Claude Setup (existing users)

bash setup.sh
# This is now a compatibility shim for the unified installer

Prerequisites

# Check Chrome debug mode is running (needed for web extraction)
google-chrome --remote-debugging-port=9222 &

# Check uv is installed (needed for WeChat + YouTube extraction)
uv --version

# Install bun OR npm (one is enough for web extraction deps)
curl -fsSL https://bun.sh/install | bash
# OR: npm is already available in most environments

Platform Entry Points

After installation, read the platform-specific instructions:

  • Claude Code: platforms/claude/CLAUDE.md
  • Codex: platforms/codex/AGENTS.md
  • OpenClaw: platforms/openclaw/README.md

Knowledge Base Structure

your-wiki/
├── raw/                    # Immutable source material
│   ├── articles/           # Web articles
│   ├── tweets/             # X/Twitter
│   ├── wechat/             # WeChat posts
│   ├── xiaohongshu/        # Xiaohongshu (manual paste only)
│   ├── zhihu/              # Zhihu
│   ├── pdfs/               # PDFs
│   ├── notes/              # Notes
│   └── assets/             # Images, attachments
├── wiki/                   # AI-generated knowledge base
│   ├── entities/           # People, concepts, tools
│   ├── topics/             # Topic pages
│   ├── sources/            # Source summaries
│   ├── comparisons/        # Side-by-side analysis
│   └── synthesis/          # Cross-source synthesis
├── index.md                # Master index
├── log.md                  # Operation log
└── .wiki-schema.md         # Config

Core Workflows

Initialize a New Knowledge Base

# Ask your agent:
"Create a new knowledge base at ~/my-wiki"

# The agent will scaffold the directory structure,
# generate index.md, log.md, and .wiki-schema.md

Ingest a Web Article

# Agent command pattern:
"Add this article to my wiki: https://example.com/article"

# Under the hood, the agent routes to baoyu-url-to-markdown:
npx baoyu-url-to-markdown https://example.com/article > raw/articles/article-slug.md

Ingest a YouTube Video

# Agent command pattern:
"Digest this YouTube video into my knowledge base: https://youtube.com/watch?v=abc123"

# Uses youtube-transcript via uv:
uvx youtube-transcript https://youtube.com/watch?v=abc123 > raw/articles/video-slug.md

Ingest a WeChat Article

# Agent command pattern:
"Add this WeChat article to my wiki: https://mp.weixin.qq.com/s/..."

# Uses wechat-article-to-markdown via uv:
uvx wechat-article-to-markdown https://mp.weixin.qq.com/s/... > raw/wechat/article-slug.md

Ingest a PDF

# Agent command pattern:
"Process this PDF into my wiki: /path/to/paper.pdf"
# OR drag a file into the chat

# No external tool needed — goes directly into main pipeline:
cp /path/to/paper.pdf raw/pdfs/paper.pdf

Ingest Raw Text or Notes

# Just paste text to your agent:
"Add these notes to my wiki: [paste content]"

# Agent writes directly to:
echo "your content" > raw/notes/note-slug.md

Batch Process a Folder

# Agent command pattern:
"Process all files in ~/Downloads/research into my wiki"

# Agent iterates over files and routes each by type
for f in ~/Downloads/research/*; do
  # agent determines type and processes accordingly
done

Health Check

# Agent command pattern:
"Run a health check on my knowledge base"

# Agent checks for:
# - Orphaned pages (no incoming links)
# - Broken [[wiki links]]
# - Contradictory information across pages
# - Missing source summaries

Source Routing Reference

Source TypeTool UsedRequires
Web articlesbaoyu-url-to-markdownChrome debug mode
X/Twitterbaoyu-url-to-markdownChrome debug mode + X login
Zhihubaoyu-url-to-markdownChrome debug mode
WeChatwechat-article-to-markdownuv
YouTubeyoutube-transcriptuv
XiaohongshuManual pasteNothing
PDF / Markdown / TextDirect pipelineNothing

Source registry lives at: scripts/source-registry.tsv Routing logic lives at: scripts/source-registry.sh

Wiki Page Conventions

Entity Page (wiki/entities/andrej-karpathy.md)

# Andrej Karpathy

## Overview
Former OpenAI/Tesla researcher, creator of llm-wiki methodology.

## Key Ideas
- [[llm-wiki]] — compile knowledge once, maintain over time
- [[nanoGPT]] — minimal GPT implementation for education

## Sources
- [[sources/llm-wiki-gist-2024]]
- [[sources/karpathy-interview-2023]]

## Related
- [[topics/language-models]]
- [[entities/openai]]

Topic Page (wiki/topics/retrieval-augmented-generation.md)

# Retrieval-Augmented Generation

## Summary
...

## Key Entities
- [[entities/langchain]]
- [[entities/llamaindex]]

## Comparisons
- [[comparisons/rag-vs-finetuning]]

## Sources
- [[sources/rag-paper-2020]]

Source Summary (wiki/sources/article-slug.md)

# Source: Article Title

- **URL**: https://example.com/article
- **Date ingested**: 2026-04-10
- **Type**: web article

## Key Points
1. ...
2. ...

## Entities Mentioned
- [[entities/...]]

## Raw**: [[raw/articles/article-slug]]

Troubleshooting

Chrome / Web Extraction Fails

# Start Chrome with remote debugging enabled
google-chrome --remote-debugging-port=9222 --no-first-run &

# Verify it's running
curl http://localhost:9222/json/version

# For X/Twitter: make sure you're logged in on that Chrome session
# Then retry the extraction

WeChat or YouTube Extraction Fails

# Install uv if missing
curl -LsSf https://astral.sh/uv/install.sh | sh
source $HOME/.cargo/env

# Re-run installer to pick up uv
bash install.sh --platform claude  # or your platform

# Verify uv tools work
uvx youtube-transcript --help
uvx wechat-article-to-markdown --help

bun/npm Dependency Install Fails

# The installer auto-selects bun or npm — check which is available
which bun && echo "bun found"
which npm && echo "npm found"

# Manually install web extraction deps with npm
npm install -g baoyu-url-to-markdown

Codex Legacy Path Compatibility

# Old path still supported automatically:
~/.Codex/skills  # capital C — installer handles both
~/.codex/skills  # lowercase — new default

Agent Can't Find Installed Skill

# Verify install location for your platform
ls ~/.claude/skills/llm-wiki/   # Claude Code
ls ~/.codex/skills/llm-wiki/    # Codex
ls ~/.openclaw/skills/llm-wiki/ # OpenClaw

# Re-run installer if directory is missing
bash install.sh --platform <your-platform>

Source Registry Lookup

# Check registered sources and routing
cat scripts/source-registry.tsv

# Test routing for a URL
bash scripts/source-registry.sh route "https://mp.weixin.qq.com/s/example"

Key Design Principles

  1. Compile once, maintain — wiki pages are living documents, not ephemeral answers
  2. Bidirectional links — every entity and topic links to related nodes with [[name]]
  3. Immutable raw — source files in raw/ are never modified after ingestion
  4. Graceful degradation — if a tool fails, agent prompts for manual paste instead of crashing
  5. Platform-agnostic — same knowledge base works across all supported agents
  6. Obsidian-compatible — open your-wiki/ directly in Obsidian at any time

Quick Reference for Agents

Initialize wiki:     "Create a new wiki at <path>"
Add URL:             "Add <url> to my wiki"
Add file:            "Process <file path> into my wiki"
Add text:            "Add these notes to my wiki: <text>"
Batch process:       "Process all files in <folder> into my wiki"
Health check:        "Check my wiki for broken links and orphans"
Find information:    "What does my wiki say about <topic>"
Update a page:       "Update the [[entity]] page with new info from <source>"

平台分布

Codex

37.01%
按下载量换算804

Claude

30.94%
按下载量换算672

Cursor

19.75%
按下载量换算429

Gemini CLI

10.16%
按下载量换算221

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills