Codeownership

Organization

LedgerHQ

codeownership

Maintain CODEOWNERS file and team directories. Provides resolve-codeowners.js to annotate files with their owner team — useful to split a large PR by team. Use when working with "**/team-*/**" or splitting monolithic files.

Overview

Publisher	LedgerHQ
Repository	`ledger-live`
Skill name	`codeownership`
Stars	622
Forks	491
Bundled files	1
License	MIT
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by LedgerHQ on GitHub. Read the source before you install it.

Installation

Install the Codeownership 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/LedgerHQ/ledger-live/tree/develop/.agents/skills/codeownership
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/LedgerHQ/ledger-live.git /tmp/ledger-live
mkdir -p .claude/skills
cp -r /tmp/ledger-live/.agents/skills/codeownership .claude/skills/codeownership

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

Use it in TypingMind

Enable Codeownership 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 Codeownership 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 Codeownership 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.

Codeownership

Why

To reduce cross-team review bottlenecks

What

Make ownership of team specific directories clear
Organise some directories into team-specific sub-directories
Maintain CODEOWNERS files when team specific directories are added or removed
Split monolithic files or folders that have been identified as being touched by too many teams

Resolving ownership for a list of files

Use resolve-codeowners.js to annotate any list of files with their CODEOWNERS team — handy when splitting a large PR by team owner. It uses the same matcher as the CI check in validate-codeowners, so it resolves exactly as GitHub does (case-sensitive, no install needed).

bash
# From a git diff
git diff --name-only HEAD~1 | node .agents/skills/codeownership/resolve-codeowners.js

# Explicit file list
node .agents/skills/codeownership/resolve-codeowners.js apps/ledger-live-desktop/src/foo.ts libs/env/src/bar.ts

# Override CODEOWNERS location
node .agents/skills/codeownership/resolve-codeowners.js --codeowners /path/to/CODEOWNERS <files...>

Output format (same columns as CODEOWNERS, but resolved to actual files):


apps/ledger-live-desktop/src/main/index.ts  @ledgerhq/platform
apps/ledger-live-desktop/src/renderer/foo.ts  @ledgerhq/wallet-xp
.github/workflows/e2e.yml  @ledgerhq/wallet-ci @ledgerhq/qaa
random/unknown/file.xyz  (no owner)

Semantics: last-rule-wins; ownerless entries appear as (no owner).

Checking CODEOWNERS before pushing

After editing CODEOWNERS, or moving or deleting files it names, run the CI check locally:

bash
node .agents/skills/codeownership/resolve-codeowners.js --check

It fails on rules that match no file, never take effect, re-own narrower rules from a later position, or use an unanchored name that matches in several places. Put defaults such as **/tsconfig* near the top; team-specific rules come after them.

Target

Splitting a monolithic file

Split [foo].ts into [foo]/team-[name]/*.ts

Maintaining team specific directories

Example

/shared/feature-flags/src/flags/ contains team-coin-integration, team-engagement, team-live-devices, etc.

CODEOWNERS defines the owner for each of these:


**/team-coin-integration/         @ledgerhq/coin-integration
**/team-engagement/               @ledgerhq/engagement
**/team-live-devices/             @ledgerhq/live-devices

Bundled files

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

resolve-codeowners.js3 KB

Frequently asked questions

What does the Codeownership AI skill do?

Why use Codeownership on TypingMind?

Because you install it once and use it with any model. Codeownership 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 Codeownership in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LedgerHQ/ledger-live/tree/develop/.agents/skills/codeownership. 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 Codeownership?

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 Codeownership?

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

Is the Codeownership AI skill free?

Yes. It is published on GitHub by LedgerHQ 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Codeownership

Why

What

Resolving ownership for a list of files

Checking CODEOWNERS before pushing

Target

Splitting a monolithic file

Maintaining team specific directories

Example

Bundled files

Frequently asked questions

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