Pin Llm Wiki

Community

ndjordjevic

pin-llm-wiki

Automates the Karpathy LLM Wiki workflow: turns web, GitHub, and YouTube URLs into well-structured, citable, wikilinked pages with automatic linting and sourcing — invoke with /pin-llm-wiki

Overview

Publisher	ndjordjevic
Repository	`pin-llm-wiki`
Skill name	`pin-llm-wiki`
Stars	76
Forks	14
Bundled files	22
License	apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
22 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ndjordjevic on GitHub. Read the source before you install it.

Installation

Install the Pin Llm Wiki AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ndjordjevic/pin-llm-wiki/tree/main/skills/pin-llm-wiki
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ndjordjevic/pin-llm-wiki.git /tmp/pin-llm-wiki
mkdir -p .claude/skills
cp -r /tmp/pin-llm-wiki/skills/pin-llm-wiki .claude/skills/pin-llm-wiki

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pin Llm Wiki in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pin Llm Wiki on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pin Llm Wiki is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/pin-llm-wiki

Automates Karpathy's LLM wiki pattern: drop URLs in inbox.md, the skill fetches, ingests, and maintains a cited, agent-readable knowledge base.

Trigger phrases

/pin-llm-wiki (with subcommands: init, ingest, lint, queue, remove)
“Pin this YouTube video to my LLM wiki”
“Ingest these research links into my wiki”
“Run pin-llm-wiki lint on this knowledge base”
“Queue these URLs, then batch-process the inbox”
“Initialize a new Karpathy-style wiki with pin-llm-wiki”


inbox.md (human drops URLs)
    ↓  fetch
raw/  (immutable source captures)
    ↓  ingest
wiki/  (LLM-maintained, cited, linked)
    ↓  lint
a healthy, queryable knowledge base

Phase 1 subcommands

Command	Status
`init`	implemented
`ingest [<url>]`	implemented (single-URL form auto-queues if URL is not already in inbox)
`lint`	implemented
`remove <slug>`	implemented
`queue <url> [<url> ...]`	implemented

Skill directory

This SKILL.md and all sibling files (ingest.md, init.md, lint.md, remove.md, queue.md, ingest-protocol.md, templates/...) live inside the skill directory: ~/.claude/skills/pin-llm-wiki/, ~/.copilot/skills/pin-llm-wiki/, ~/.cursor/skills/pin-llm-wiki/, or the project-local .claude/skills/ / .copilot/skills/ / .cursor/skills/ equivalents. In this repository the canonical copy is skills/pin-llm-wiki/. All templates/... and sibling-file paths in this skill are relative to whichever skill directory the loading tool used.

Dispatch

Identify the subcommand from the invocation args (the first word after /pin-llm-wiki).
Route — read the sibling file in this skill directory and follow its instructions exactly:
- init → init.md (no Guard required — it scaffolds the wiki)
- ingest → ingest.md (with or without a URL arg)
- lint → lint.md
- remove → remove.md
- queue → queue.md
Guard (every subcommand except init): confirm .pin-llm-wiki.yml exists in the current working directory. If absent, stop with: "No wiki found here (.pin-llm-wiki.yml missing). Run /pin-llm-wiki init to scaffold one first." Subcommand files repeat this check by reference; you only need to enforce it once per invocation.
Do not proceed beyond this dispatch step before reading the target file.

Git policy (canonical)

Never run git commit or git push after any subcommand — init, ingest, refresh, lint, remove, queue, or any auto-fix — unless the human explicitly asked to commit in this conversation. Subcommand files reference this policy without restating it. The wiki's own AGENTS.md carries the same rule for downstream agents.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pin Llm Wiki AI skill do?

Automates the Karpathy LLM Wiki workflow: turns web, GitHub, and YouTube URLs into well-structured, citable, wikilinked pages with automatic linting and sourcing — invoke with /pin-llm-wiki

Why use Pin Llm Wiki on TypingMind?

Because you install it once and use it with any model. Pin Llm Wiki is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pin Llm Wiki in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ndjordjevic/pin-llm-wiki/tree/main/skills/pin-llm-wiki. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pin Llm Wiki?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pin Llm Wiki?

As many as you like. As long as a model supports skills, you can use Pin Llm Wiki with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pin Llm Wiki AI skill free?

Yes. It is published on GitHub by ndjordjevic under the apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

/pin-llm-wiki

Trigger phrases

Phase 1 subcommands

Skill directory

Dispatch

Git policy (canonical)

Bundled files

Frequently asked questions

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