Ai Devkit Setup

CommunityPopular

codeaholicguy

ai-devkit-setup

AI DevKit · Check local AI DevKit readiness and run setup only when status shows onboarding or harness integration gaps.

Overview

Publisher	codeaholicguy
Repository	`ai-devkit`
Skill name	`ai-devkit-setup`
Stars	1.6K
Forks	252
Bundled files	1
License	Apache-2.0
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.
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 codeaholicguy on GitHub. Read the source before you install it.

Installation

Install the Ai Devkit Setup 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.
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/codeaholicguy/ai-devkit.git /tmp/ai-devkit
mkdir -p .claude/skills
cp -r /tmp/ai-devkit/skills/ai-devkit-setup .claude/skills/ai-devkit-setup

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

Use it in TypingMind

Enable Ai Devkit Setup 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 Ai Devkit Setup 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 Ai Devkit Setup 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.

AI DevKit Setup

Use this skill when a user wants to onboard AI DevKit, prepare a harness, repair local AI DevKit integration, or check whether setup is needed.

Keep the workflow status-driven and simple. Prefer the installed ai-devkit binary; if it is unavailable, use npx ai-devkit@latest.

Execution Notes

Under filesystem sandboxing, run ai-devkit status --json and any ai-devkit setup command outside the sandbox. These commands inspect and modify host-level agent configuration; sandboxed runs can produce false failures or block setup writes, especially for integrations that execute harness commands and access paths like ~/.pi/agent.

Workflow

Run readiness first:

bash
ai-devkit status --json

Identify failed or warning checks that setup can fix. Setup covers local integrations like hooks, built-in skills, and session tracking for codex, pi, and claude; it does not fix auth, missing package managers, or host tools requiring user installation.
Run the narrowest setup command, for example:
```
bash
ai-devkit setup --agent codex,pi,claude
```
If the user asked for broad onboarding and several supported harnesses need setup, ai-devkit setup is acceptable.
Re-run ai-devkit status --json and report what changed plus any remaining manual actions.

Boundaries

Do not run setup before checking status unless the user explicitly asks to force setup.
Do not claim setup is complete without a fresh status check from this session.
Do not modify secrets, auth tokens, or unrelated harness config manually. Point the user to the failing status item instead.
Ask before destructive cleanup or replacing existing user-managed configuration.
Keep output concise: status command, setup command if run, final readiness, and remaining user actions.

Bundled files

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

agents/openai.yaml1 KB

Frequently asked questions

What does the Ai Devkit Setup AI skill do?

AI DevKit · Check local AI DevKit readiness and run setup only when status shows onboarding or harness integration gaps.

Why use Ai Devkit Setup on TypingMind?

Because you install it once and use it with any model. Ai Devkit Setup 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 Ai Devkit Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/codeaholicguy/ai-devkit/tree/main/skills/ai-devkit-setup. 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 Ai Devkit Setup?

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 Ai Devkit Setup?

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

Is the Ai Devkit Setup AI skill free?

Yes. It is published on GitHub by codeaholicguy 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

AI DevKit Setup

Execution Notes

Workflow

Boundaries

Bundled files

Frequently asked questions

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