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llm-wiki-bootstrapLLM wiki bootstrap 搜索

Agent Skill

llm-wiki-bootstrap 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。

总安装

2,892

周安装

117

GitHub Stars

31

下载量

908
CodexClaudeCursorGemini CLI

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

unknown

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:llm-wiki-bootstrap(LLM wiki bootstrap 搜索)
来源仓库:https://github.com/nanzhipro/karpathy-llm-wiki-bootstrap-skill
仓库路径:skills/llm-wiki-bootstrap
安装命令:
npx skills add https://github.com/nanzhipro/karpathy-llm-wiki-bootstrap-skill --skill llm-wiki-bootstrap
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/nanzhipro/karpathy-llm-wiki-bootstrap-skill --skill llm-wiki-bootstrap

简介

用于检索和筛选 LLM 维基启动相关的信息。

  • 适合基于任务场景或来源线索定位技术资料。
  • 通过 GitHub 安装,需参考原始仓库了解实现细节。
  • 使用前应确认是否具备联网和执行命令的权限。
  • 建议核实维护状态以避免兼容性问题。llm-wiki-bootstrap 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Karpathy LLM Wiki Bootstrap

Scaffold a complete LLM Wiki framework from zero: directory structure, schema (the AI instruction file), index, log, and operational workflows. The output is a ready-to-use wiki that the user and their LLM agent can immediately start populating.

Guiding principle: The wiki is a persistent, compounding artifact. The LLM writes and maintains all content. The human curates sources, directs analysis, and asks questions. This skill builds the scaffolding; the user and their LLM fill it with knowledge over time.

Workflow

Six sequential phases. Each phase completes before the next begins.

Phase 1: Gather Requirements

BLOCKING — must complete before any file creation.

Use AskUserQuestion with ALL questions in ONE call:

Q1 — header: "Domain", question: "What is this wiki about?"

  • Options: "Research topic", "Book / media", "Personal (goals, health, learning)", "Business / team", "Other (describe below)"

Q2 — header: "Wiki name", question: "Short name for the wiki root directory?"

  • Free text. Suggest: {domain}-wiki (e.g. ml-wiki, lotr-wiki, health-wiki)

Q3 — header: "Runtimes", question: "Which runtimes will read this wiki? (select all that apply)", multiSelect: true

  • Options:

- "Claude Code" — also generates a CLAUDE.md pointer - "OpenAI Codex" — also generates an AGENTS.md pointer - "Copilot (VS Code)" — also generates a .github/copilot-instructions.md pointer - "Other / generic" — no pointer file (agent reads SCHEMA.md directly)

SCHEMA.md is always generated and is the single source of truth. Each selected runtime gets an additional thin pointer file that redirects to SCHEMA.md. Multiple runtimes may be selected; multiple pointers will coexist.

Q4 — header: "Editor", question: "Primary editor for browsing the wiki?"

  • Options: "Obsidian (recommended)", "VS Code", "Other / plain files"

Q5 — header: "Source types", question: "What kind of sources will you add?"

  • Multi-select. Options: "Web articles", "PDFs / papers", "Books (chapter by chapter)", "Meeting notes / transcripts", "Personal notes / journals", "Images / diagrams", "Data files (CSV, JSON)", "Other"

Q6 — header: "Output location", question: "Where to create the wiki?"

  • Options:

- "Current directory" — create {wiki-name}/ here - "Custom path" — user types absolute path

Store all answers as session variables for subsequent phases.

Phase 2: Create Directory Structure

Based on Phase 1 answers, create the directory tree:

{wiki-root}/
├── raw/                    # Immutable source documents
│   └── assets/             # Images, attachments (if image sources selected)
├── wiki/                   # LLM-maintained markdown pages
│   ├── index.md            # Content catalog
│   ├── log.md              # Chronological operation log
│   └── overview.md         # High-level synthesis (starts empty)
├── SCHEMA.md               # AI instruction file — single source of truth (always)
├── {pointer-files}         # Optional thin redirects per Q3 (CLAUDE.md, AGENTS.md, .github/copilot-instructions.md)
└── .gitignore              # Ignore OS files, keep everything else

Conditional directories / files:

ConditionAdd
Q5 includes images/diagramsraw/assets/
Q4 = Obsidian.obsidian/ is NOT created (Obsidian auto-creates it)
Any source type selectedraw/ with a .gitkeep
Q3 includes Claude CodeCLAUDE.md pointer
Q3 includes OpenAI CodexAGENTS.md pointer
Q3 includes Copilot (VS Code).github/copilot-instructions.md pointer

Phase 3: Generate Schema File

The schema is the most critical output and the single source of truth for all LLM rules. Always write it to {wiki-root}/SCHEMA.md using the template at references/templates/schema.md. Agent-specific files (CLAUDE.md, AGENTS.md, copilot-instructions.md) are generated as pointers in Phase 3.5 and must never duplicate rule content.

Customization rules:

VariableSource
{WIKI_NAME}Q2 answer
{DOMAIN_DESCRIPTION}Q1 answer (expanded to 1-2 sentences)
{SOURCE_TYPES}Q5 answers, comma-separated
{EDITOR}Q4 answer
{DATE}Current date in YYYY-MM-DD

After generating, adapt section details:

  • If domain is "Book / media" → add character, timeline, and plot-thread page types
  • If domain is "Research" → add paper-summary and claim-tracking page types
  • If domain is "Personal" → add journal-entry and goal-tracking page types
  • If domain is "Business / team" → add decision-log and meeting-summary page types

Phase 3.5: Generate Pointer Files

For each runtime selected in Q3 (other than "Other / generic"), generate a thin pointer file from references/templates/agent-pointer.md. Pointer files contain no operating rules — only a redirect to SCHEMA.md plus minimal identity context.

Q3 selectionPointer path{SCHEMA_PATH}
Claude Code{wiki-root}/CLAUDE.md./SCHEMA.md
OpenAI Codex{wiki-root}/AGENTS.md./SCHEMA.md
Copilot (VS Code){wiki-root}/.github/copilot-instructions.md../SCHEMA.md

Template variables:

VariableSource
{WIKI_NAME}Q2 answer
{SCHEMA_PATH}./SCHEMA.md (or ../SCHEMA.md for the Copilot path)

If Q3 only selected "Other / generic" (or nothing), skip this phase entirely — SCHEMA.md alone is sufficient.

Phase 4: Generate Initial Wiki Files

Create three seed files using templates in references/templates/:

4.1 index.md — from references/templates/index.md

  • Start with the universal sections (Sources, Entities, Concepts, Comparisons, Synthesis)
  • Add domain-specific sections matching the page types injected in Phase 3:

- Research → Papers, Claims, Methods, Datasets - Book / media → Characters, Timelines, Themes, Locations - Personal → Journal, Goals, Habits, Lessons - Business → Decision Logs, Meetings, Projects, Stakeholders

  • Leave content sections empty with placeholder comments

4.2 log.md — from references/templates/log.md

  • Write the first entry: wiki creation event with current date

4.3 overview.md — from references/templates/overview.md

  • Minimal stub that explains the wiki's purpose and domain

Phase 5: Editor Configuration

If Q4 = Obsidian:

Do NOT create .obsidian/ or modify Obsidian settings. Instead, append a ## Obsidian Setup section to SCHEMA.md (the single source of truth) with recommendations:

  • Set "Attachment folder path" to raw/assets/ in Settings → Files and links
  • Install recommended plugins: Dataview (frontmatter queries), Marp (slide decks if needed)
  • Use graph view to inspect wiki structure
  • Bind "Download attachments" hotkey if using Web Clipper

Never duplicate this section into any pointer file.

If Q4 = VS Code:

Create .vscode/settings.json with markdown-friendly defaults:

{
  "files.exclude": { "**/.DS_Store": true },
  "editor.wordWrap": "on",
  "markdown.preview.breaks": true
}

Do NOT append an Obsidian section to SCHEMA.md.

If Q4 = Other / plain files:

Skip editor configuration entirely. Do NOT append any editor-specific section to SCHEMA.md. Do NOT create .vscode/.

Phase 6: Summary and Next Steps

After all files are created, output a brief summary:

Wiki scaffolded at {wiki-root}/

Structure:
  raw/          → Drop source documents here
  wiki/         → LLM-maintained pages (index, log, overview)
  SCHEMA.md     → AI instructions (single source of truth)

Pointer files (redirect to SCHEMA.md):
  {list each pointer generated in Phase 3.5, or "none" if skipped}

Next steps:
  1. Open {wiki-root}/ in {editor}
  2. Add your first source to raw/
  3. Tell your LLM agent: "Read {wiki-root}/SCHEMA.md, then ingest raw/{filename}"

Post-Bootstrap Operations

The schema file generated in Phase 3 defines three core operations. These are documented in detail in:

The schema file embeds condensed versions of these workflows. The reference files here contain the full rationale and edge cases for skill maintainers.

Design Principles

These inform all generated content:

  1. LLM-native — all instructions are written as executable protocols for language models, not prose for humans
  2. Source of truth separation — raw sources are immutable; the wiki is derived and regenerable
  3. Incremental compilation — each source is integrated once; knowledge compounds, not re-derived
  4. Convention over configuration — sensible defaults, minimal required decisions
  5. Editor-agnostic core — markdown files work everywhere; editor-specific features are optional layers
  6. Git-friendly — plain text, no binary blobs in wiki/, version history for free

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

35.97%
按下载量换算327

Claude

27.73%
按下载量换算252

Cursor

18.15%
按下载量换算165

Gemini CLI

9.94%
按下载量换算90

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。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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