Lat Md Knowledge Graph

Community

stevesolun

lat-md-knowledge-graph

Design or audit a repo-local markdown knowledge graph with wiki links, source-code backlinks, drift checks, and searchable sections. Use when AGENTS.md/CLAUDE.md is too flat for a large codebase or when a custom harness needs durable structured project memory.

Overview

Publisher	stevesolun
Repository	`ctx`
Skill name	`lat-md-knowledge-graph`
Stars	588
Forks	69
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by stevesolun on GitHub. Read the source before you install it.

Installation

Install the Lat Md Knowledge Graph 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/stevesolun/ctx/tree/main/imported-skills/lat-md/skills/lat-md-knowledge-graph
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/stevesolun/ctx/tree/main/imported-skills/lat-md/skills/lat-md-knowledge-graph

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/stevesolun/ctx.git /tmp/ctx
mkdir -p .claude/skills
cp -r /tmp/ctx/imported-skills/lat-md/skills/lat-md-knowledge-graph .claude/skills/lat-md-knowledge-graph

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

Use it in TypingMind

Enable Lat Md Knowledge Graph 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 Lat Md Knowledge Graph 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 Lat Md Knowledge Graph 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.

lat.md Knowledge Graph

Purpose

Turn durable project knowledge into linked markdown files that agents can search, cite, and keep synchronized with code.

When to Use

One root instruction file is too large or hides domain decisions.
Agents repeatedly rediscover the same architecture or business rules.
Test intent needs explicit specs linked to test code.
A custom harness needs persistent memory outside conversation history.

Design Pattern

Create a repo-local knowledge directory such as lat.md/ or docs/knowledge/.
Split pages by durable concepts: architecture, domain rules, workflows, interfaces, test specs, and operational constraints.
Link concepts with [[wiki links]].
Link knowledge pages to source symbols or files.
Add code backlinks such as comments or metadata where the code implements a documented rule.
Add a check that fails on broken links, missing backlinks, stale indexes, or test specs without code mentions.

ctx Fit

Use this alongside ctx's LLM-wiki when a project needs its own local memory graph. ctx recommends skills/MCPs/agents from its catalog; the repo-local graph stores project-specific facts that should not live in the global catalog.

Quality Bar

Page titles and section anchors are stable.
Links resolve both ways where needed.
Code backlinks are narrow and reviewable.
Checks run in CI before merge.
Sensitive facts stay out unless the repo already allows them.
The graph explains current behavior, not a speculative roadmap.

Frequently asked questions

What does the Lat Md Knowledge Graph AI skill do?

Why use Lat Md Knowledge Graph on TypingMind?

Because you install it once and use it with any model. Lat Md Knowledge Graph 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 Lat Md Knowledge Graph in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/stevesolun/ctx/tree/main/imported-skills/lat-md/skills/lat-md-knowledge-graph. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lat Md Knowledge Graph?

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 Lat Md Knowledge Graph?

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

Is the Lat Md Knowledge Graph AI skill free?

Yes. It is published on GitHub by stevesolun under the MIT 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.

View all

Release Openclaw Plugin Testing

openclaw

OrganizationPopular

Plan and run pre-release OpenClaw plugin validation across bundled plugins, package artifacts, lifecycle commands, doctor/fix, config round-trip, gateway startup, SDK compatibility, Docker E2E,…

Solid

Write, port, review, or test Solid 2 UI in OpenClaw (Control UI, plugin views, Canvas hosts), including state ownership, Lit interop during the migration, native overlays, testing, performance, and…

Auto Qa

Run OpenClaw-wide autonomous QA and live/stress campaigns across independent subsystem lanes, with verified fixes and a resumable evidence report.

Autoreview

Structured code review when explicitly requested, preferring OpenAI/Codex before Claude.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

lat.md Knowledge Graph

Purpose

When to Use

Design Pattern

ctx Fit

Quality Bar

Frequently asked questions

Related AI Skills

Set up your own AI workspace now