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pin-llm-wiki

LLM wiki kit

First committed by ndjordjevic

Published in ndjordjevic/pin-llm-wiki. Publisher page

76 GitHub stars

What it is

Skill for Claude, Cursor & Copilot that automates the Karpathy LLM Wiki workflow: ingest web, GitHub, and YouTube URLs into a well-structured, citable, cross-referenced knowledge base with automatic linting.
— the description by ndjordjevic

AutoGineer overview, from the brain’s own files

pin-llm-wiki is a skill designed to automate the creation of a structured, cross-referenced knowledge base, following the Karpathy LLM Wiki pattern. It ingests web, GitHub, and YouTube content into a local repository, organizing data into immutable raw captures and summarized, wikilinked markdown pages. The system includes an inbox for queuing sources, an automated ingestion process, and a linting tool to maintain wiki health. By generating an AGENTS.md file, it provides clear instructions for AI agents to consult the wiki as a primary source of truth before answering queries, ensuring responses are grounded in the project's specific knowledge base.

How it works

Memory model: LLM wiki

AutoGineer overview, from the brain’s own files

The system uses a set of commands to manage a local wiki. Users add URLs to an inbox.md file, which the system then processes into raw/ folders containing immutable source captures. These are transformed into summarized, wikilinked pages within a wiki/ directory. The system uses a .pin-llm-wiki.yml file for configuration and provides an AGENTS.md file to guide agent behavior. A lint command validates the wiki's health, and a log.md tracks all ingestion and maintenance history.

Folders
FolderRoleFiles
.claudeagent-config1
skillsagent-instructions23

The agent writes

Requirements

Works with: Claude Code

Set it up

  1. Clone the repository at the commit AutoGineer scanned:

    git clone https://github.com/ndjordjevic/pin-llm-wiki.git && cd pin-llm-wiki && git checkout e76e4012d8c393665517de6609a0197ede99a51d
  2. Point Claude Code at .claude/settings.local.json: it does not read that file on its own.

  3. cd pin-llm-wiki && claude

  4. AutoGineer scanned these files at commit e76e401.

  5. First committed by ndjordjevic. Published in ndjordjevic/pin-llm-wiki. Licence: Apache License 2.0.

Usage

AutoGineer overview, from the brain’s own files

  • Initialize a new wiki structure in your repository.
  • Queue web, GitHub, or YouTube URLs for later processing.
  • Ingest queued sources to generate summarized, citable wiki pages.
  • Validate the integrity and structure of the wiki using the lint command.
  • Manage source lifecycle by archiving outdated or irrelevant pages.
“/pin-llm-wiki ingest https://github.com/org/repo”
The agent fetches the repository, creates an immutable raw capture, and generates summarized wiki pages with citations.
“/pin-llm-wiki lint”
The agent scans the wiki/ directory to validate links and apply automated fixes to maintain knowledge base health.

Documentation by ndjordjevic

pin-llm-wiki

A multi-editor skill that automates the Karpathy LLM Wiki pattern: drop in URLs, get a local, citable, cross-referenced wiki that agents can read before answering.

Where it runs: Claude Code (slash commands), GitHub Copilot and Cursor (install the skill + follow the same workflows; see below).

Why use it

pin-llm-wiki turns external sources into a durable knowledge base:

  • raw/ keeps immutable captures of the original sources.

  • wiki/ holds summarized, wikilinked pages with citations back to raw files.

  • AGENTS.md tells AI agents to consult the wiki before answering domain questions.

  • inbox.md gives humans and agents a simple queue for future sources.

The result is a repo-local memory layer: reviewable in git, queryable by agents, and less dependent on whatever context happens to fit in one chat.

Install

Use the skills CLI: npx skills@latest add ndjordjevic/pin-llm-wiki (project) or -g (global, e.g. ~/.cursor/skills). Project installs land in .agents/skills/ (Cursor, Copilot, …) and .claude/skills/ (Claude Code)—not in ./skills/ (that path is only this repo’s package layout).

For Claude Code + Cursor + Copilot in one repo, create .claude first so the CLI can install one real copy under .agents/skills/ and symlink Claude Code to it.

mkdir -p .claude
npx skills@latest add ndjordjevic/pin-llm-wiki \
  --agent claude-code --agent cursor --agent github-copilot -y

npx skills@latest add ndjordjevic/pin-llm-wiki -g   # global

Use --agent … for a predictable layout in agent terminals. --list, skills.sh, npx skills@latest add --help.

Update

Refresh the skill files from GitHub. Scope should match how you installed:

# Project install: from that repo’s root, or force project scope
npx skills@latest update pin-llm-wiki -p

# Global install
npx skills@latest update pin-llm-wiki -g

Use -y to skip interactive scope prompts (the CLI can auto-pick project vs global when only one applies). skills update may recreate agent directories you do not use; delete those folders if you want a minimal tree. See npx skills@latest update --help.

Quickstart

Image: pin-llm-wiki CLI workflow: install via npx skills, then init, queue, ingest, and lint across Claude Code, Copilot, and Cursor

Inside the repo that should become a wiki:

/pin-llm-wiki init
/pin-llm-wiki ingest https://github.com/org/repo
/pin-llm-wiki queue https://example.com
/pin-llm-wiki ingest
/pin-llm-wiki lint

After init, follow the generated wiki's AGENTS.md; it is the operating manual for agents working in that knowledge base.

Commands

Use /pin-llm-wiki in the agent. Claude Code, Cursor, and GitHub Copilot all use the same SKILL.md.

SubcommandWhat it does
initScaffold inbox.md, .pin-llm-wiki.yml, AGENTS.md, wiki/, and raw/
ingest [url]Ingest one URL, or omit url to process every pending item in inbox.md
queue <url> ...Add URLs to inbox.md without fetching or ingesting
lintValidate wiki health and apply light non-destructive fixes
remove <slug>Soft-delete a source into wiki/.archive/

Ingest rules, inbox HTML tags, companion repos, and multi-product deep mode live in skills/pin-llm-wiki/SKILL.md and its sibling workflow files.

What gets created

inbox.md              source queue; drop URLs under ## Pending
.pin-llm-wiki.yml     config: domain, detail level, source types, lint cadence
AGENTS.md             canonical instructions for agents in the generated wiki
wiki/
  index.md            start here; full source list
  overview.md         rolling cross-source synthesis
  log.md              append-only ingest, refresh, and removal history
  sources/            one page per ingested source
  .archive/           soft-deleted sources
raw/
  github/             immutable GitHub repo captures
  youtube/            immutable YouTube transcripts + metadata
  web/                immutable web page captures

The wiki is Markdown with [[wikilinks]]; opening the repo as an Obsidian vault is a comfortable way to read and navigate it (start from wiki/index.md).

Demo wiki

For a maintained wiki built with this skill, see ndjordjevic/agentic-ai-wiki.

Source types

Fetches are detail-aware: broader at standard / deep than at brief. Ingest then turns each raw capture into cited wiki pages (ingest.md).

TypeRaw outputSmarts
GitHubraw/github/<org>-<repo>.mdgh: metadata, README, repo layout, and more docs/ at higher detail; <!-- branch --> / optional <!-- clone --> (deep).
YouTuberaw/youtube/<video-id>-<slug>.mdyt-dlp: description, chapters, cleaned transcript (or a no-transcript flag).
Webraw/web/<slug>.mdCrawls landing + docs (plus llms.txt / sitemap where useful); often pulls a companion GitHub repo into one unified page unless <!-- no-companion -->. deep can split multi-product sites: one umbrella + one sub-page per product, still backed by one raw file—similar to how langchain.com becomes a hub plus pages like LangGraph / LangSmith.

GitHub URLs with a path after the repo (/tree/…, /blob/…, …) are single-page web only: no full-repo ingest, companion discovery, or deep product split on that URL.

Agent behavior

Generated wikis include AGENTS.md, which tells AI agents to:

  • Read wiki/index.md before answering domain questions.

  • Follow [[wikilinks]] into relevant source pages.

  • Cite wiki page names in answers.

  • Say when the wiki does not contain an answer, then fetch current information online.

Agents are also instructed not to run git commit or git push unless the human explicitly asks.

Limits

This is a reviewable knowledge workflow, not an unattended publishing system. Generated pages should be inspected in git diffs. Large fetches have token guards, and Phase 1 lint defers contradiction and terminology-collision checks.

33 files · 30 not served here

Advantages

  • Provides a durable, git-reviewable memory layer that is not limited by single-chat context windows. evidence: README.md
  • Supports multi-source ingestion including GitHub repositories, YouTube transcripts, and web documentation. evidence: README.md

Limitations

  • Not an unattended system; generated content requires human inspection via git diffs. evidence: README.md
  • Initial linting phase does not perform complex contradiction or terminology-collision checks. evidence: README.md

Security

Risk level: Low risk

This brain runs

Agent instructions that run or fetch something (2)

  • skills/pin-llm-wiki/SKILL.md: “Run pin-llm-wiki lint on this knowledge base”
  • skills/pin-llm-wiki/SKILL.md: Run `/pin-llm-wiki init` to scaffold one first."* Subcommand files repeat this check by reference;
  • Low risk: network-instructions (.claude/settings.local.json:34)

Attribution and licence

First committed by
GitHub avatar of ndjordjevicndjordjevic
Publisher
Nenad Djordjevic (Community)
Source
ndjordjevic/pin-llm-wiki · commit e76e401
Licence
Apache License 2.0 (files served here)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Contributors
ndjordjevic

AutoGineer is not affiliated with or endorsed by ndjordjevic.

Install from source

30 of its files are not served here, so there is no ZIP. ndjordjevic/pin-llm-wiki at e76e401