Code

Organization

g2i-ai

code

Implement production changes with or without new test coverage.

Overview

Publisher	g2i-ai
Repository	`agents`
Skill name	`code`
Stars	53
Forks	2
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by g2i-ai on GitHub. Read the source before you install it.

Installation

Install the Code 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/g2i-ai/agents/tree/main/skills/code
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/g2i-ai/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/skills/code .claude/skills/code

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

Use it in TypingMind

Enable Code 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 Code 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 Code 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.

Code

Invocation

This skill is performed in the Developer persona. If you are not already running as Developer (for example, the user invoked /code directly), read subagents/developer.md and adopt its role guidance for the rest of this task. Stay in the current chat—do not delegate to a subagent.

Objective

Implement the requested change using existing project patterns. This skill covers spec-driven feature work and implementation tasks that are not primarily about new automated tests.

Instructions

Ask for the spec path when the work is spec-driven. If there is no spec, clarify the requested scope and success criteria.
Determine whether the change should be test-first:
- if yes, route to /tdd before implementation
- if not, continue here
Read the relevant code paths and follow existing patterns before introducing new structure.
Follow the repo's established architecture and conventions.
Implement the smallest coherent change that satisfies the task.
Run the verification checks that fit the change (linting, type checking, tests, builds, etc.).
Summarize the implementation, affected files, checks run, and recommended next step (/review or /draft-pr).

Notes

code remains distinct from /tdd because some implementation work in this repo does not justify a test-first flow.
When opening a PR or preparing a review, treat your base branch as the comparison target.

Frequently asked questions

What does the Code AI skill do?

Implement production changes with or without new test coverage.

Why use Code on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/g2i-ai/agents/tree/main/skills/code. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Code?

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 Code?

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

Is the Code AI skill free?

It is published on GitHub by g2i-ai. Check the repository for licensing terms. 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

Anatomy

NousResearch

OrganizationPopular

Explain an idea as an interactive isometric machine figure.

Auteur

Design and build cinematic, award-level web pages.

Skill Creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a…

E2e Cucumber Playwright

langgenius

OrganizationPopular

Use when writing, changing, or reviewing Cucumber and Playwright tests under `e2e/`, including feature files, step definitions, support code, scenario tags, locators, and assertions. Do not use for…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Code

Invocation

Objective

Instructions

Notes

Frequently asked questions

Related AI Skills

Set up your own AI workspace now