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Devkit Create Extension

Community
jmagly
devkit-create-extension

Create a new AIWG extension (framework expansion pack) with AI-guided setup

Overview

Publisherjmagly
Repositoryaiwg
Skill namedevkit-create-extension
Stars
225
Forks
34
Bundled files
Instructions only
LicenseMIT
Links
  • 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 jmagly on GitHub. Read the source before you install it.

Installation

Install the Devkit Create Extension AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-dev/skills/devkit-create-extension
  4. 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.
2

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/jmagly/aiwg.git /tmp/aiwg
mkdir -p .claude/skills
cp -r /tmp/aiwg/agentic/code/addons/aiwg-dev/skills/devkit-create-extension .claude/skills/devkit-create-extension
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Devkit Create Extension 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 Devkit Create Extension 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 Devkit Create Extension 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.

Create AIWG Extension

Create a new extension (framework expansion pack) with AI assistance.

Extensions enhance a specific parent framework with additional templates, checklists, and domain-specific content. They cannot operate standalone.

Usage

/devkit-create-extension <name> --for <framework> [--interactive]

Arguments

ArgumentRequiredDescription
nameYesExtension name (kebab-case recommended)

Required Options

OptionDescription
--forParent framework ID (e.g., sdlc-complete, media-marketing-kit)

Optional Options

OptionDescription
--interactiveEnable interactive mode with guided questions

What This Creates

agentic/code/frameworks/<framework>/extensions/<name>/
├── manifest.json      # type: "extension", requires: ["<framework>"]
├── README.md          # Documentation
├── templates/         # Domain-specific templates
└── checklists/        # Compliance/verification checklists

Interactive Mode

When --interactive is specified, I will ask:

  1. Domain: What compliance/domain does this extension address?
  2. Purpose: What specific requirements or standards does it cover?
  3. Templates: What templates should be included?
  4. Checklists: What verification checklists are needed?
  5. Dependencies: Does it depend on other extensions?

Examples

bash
# Quick creation
/devkit-create-extension hipaa --for sdlc-complete

# Interactive guided creation
/devkit-create-extension sox --for sdlc-complete --interactive

Common Extension Types

Compliance Extensions

  • gdpr - EU data protection
  • hipaa - Healthcare (US)
  • sox - Financial controls (US)
  • pci-dss - Payment card security
  • ftc - FTC advertising rules

Domain Extensions

  • healthcare - Healthcare-specific templates
  • fintech - Financial technology patterns
  • government - Government/public sector

Execution

  1. Validate inputs: Check name and framework
  2. Verify framework exists: Ensure parent framework is installed
  3. Check for duplicates: Verify extension doesn't exist
  4. Gather info: In interactive mode, ask about domain and needs
  5. Generate manifest: Create with requires field for parent
  6. Create structure: Build templates/ and checklists/ directories
  7. Generate README: Document extension purpose and usage
  8. Optionally create content: Offer to create initial templates/checklists
  9. Report success: Show created files and activation instructions

CLI Equivalent

For non-interactive creation:

bash
aiwg scaffold-extension <name> --for <framework> --description "..."

Related Commands

  • /devkit-create-addon - Create standalone addon
  • /devkit-create-framework - Create full framework
  • /devkit-validate - Validate extension structure
  • aiwg add-template - Add template to extension

References

  • @$AIWG_ROOT/agentic/code/addons/aiwg-dev/README.md — aiwg-dev addon overview
  • @$AIWG_ROOT/docs/extensions/overview.md — Extension system architecture
  • @$AIWG_ROOT/docs/extensions/creating-extensions.md — Guide to building custom extensions
  • @$AIWG_ROOT/docs/cli-reference.md — CLI reference including scaffold-extension command
  • @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/README.md — SDLC framework as example parent framework

Frequently asked questions

What does the Devkit Create Extension AI skill do?

Create a new AIWG extension (framework expansion pack) with AI-guided setup

Why use Devkit Create Extension on TypingMind?

Because you install it once and use it with any model. Devkit Create Extension 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 Devkit Create Extension in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-dev/skills/devkit-create-extension. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Devkit Create Extension?

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 Devkit Create Extension?

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

Is the Devkit Create Extension AI skill free?

Yes. It is published on GitHub by jmagly 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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