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Devkit Create Framework

Community
jmagly
devkit-create-framework

Comma-separated phase names

Overview

Publisherjmagly
Repositoryaiwg
Skill namedevkit-create-framework
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 Framework 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-framework
  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-framework .claude/skills/devkit-create-framework
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Devkit Create Framework 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 Framework 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 Framework 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 Framework

Create a new AIWG framework with complete lifecycle structure.

Process

1. Validate Framework Name

Check that $ARGUMENTS contains a valid framework name:

  • Must be kebab-case (lowercase with hyphens)
  • Must not conflict with existing frameworks

Check existing frameworks:

bash
ls ~/.local/share/ai-writing-guide/agentic/code/frameworks/

2. Interactive Design (if --interactive)

If --interactive is specified, guide the user through framework design:

Framework Purpose:

What lifecycle does this framework manage? (e.g., software development, marketing campaigns, legal cases)

Target Audience:

Who will use this framework? (e.g., development teams, marketing departments, legal firms)

Phase Structure:

What phases does this lifecycle include? Default: inception, elaboration, construction, transition Custom examples: discovery, analysis, synthesis, publication

Agent Categories:

What types of roles are needed?

  • Analysis roles (analysts, researchers)
  • Design roles (architects, designers)
  • Implementation roles (developers, writers)
  • Quality roles (reviewers, testers)
  • Management roles (coordinators, managers)

Template Categories:

What artifact types will be produced?

  • Planning documents
  • Requirements documents
  • Design documents
  • Implementation artifacts
  • Quality artifacts
  • Deployment artifacts

3. Execute Scaffolding

Run the CLI scaffolding tool:

bash
node ~/.local/share/ai-writing-guide/tools/scaffolding/scaffold-framework.mjs \
  <name> \
  --description "<derived from interactive>" \
  --phases "<phase1,phase2,...>"

4. Post-Creation Guidance

After scaffolding, provide guidance on next steps:

Immediate Actions:

  1. Review and customize actors-and-templates.md
  2. Define your first agents for each phase
  3. Create initial templates for key artifacts

Agent Creation Priority:

  • Phase 1: Create 2-3 core agents per phase
  • Phase 2: Add specialized agents as needed
  • Phase 3: Add orchestration agents for workflows

Command Creation Priority:

  • Phase 1: Create phase execution commands (flow-<phase>)
  • Phase 2: Create transition commands (flow-<phase>-to-<next>)
  • Phase 3: Create utility commands (status, validation)

Template Creation Priority:

  • Phase 1: Create 2-3 key templates per phase
  • Phase 2: Add specialized templates
  • Phase 3: Create cross-cutting templates

5. Provide Reference Resources

Point to existing frameworks as examples:

  • sdlc-complete: 53 agents, 48 commands, comprehensive lifecycle
  • media-marketing-kit: 37 agents, marketing-focused lifecycle

Reference documentation:

  • docs/development/framework-creation-guide.md
  • docs/development/devkit-overview.md

Output Format

Framework Created: <name>
─────────────────────────

Location: ~/.local/share/ai-writing-guide/agentic/code/frameworks/<name>/

Phases: <phase1> → <phase2> → ... → <phaseN>

Created:
  ✓ manifest.json
  ✓ README.md
  ✓ plan-act-<name>.md
  ✓ actors-and-templates.md
  ✓ agents/manifest.md
  ✓ commands/manifest.md
  ✓ templates/manifest.json
  ✓ flows/<phase>.md (for each phase)
  ✓ metrics/tracking-catalog.md
  ✓ config/models.json

Next Steps:
  1. Define actors: Edit actors-and-templates.md
  2. Add agents:    aiwg add-agent <name> --to <framework>
  3. Add commands:  aiwg add-command <name> --to <framework>
  4. Add templates: aiwg add-template <name> --to <framework> --category <phase>
  5. Deploy:        aiwg use <framework>

Notes

  • Framework creation is a significant undertaking (50+ agents typical)
  • Study existing frameworks before creating new ones
  • Use --interactive for guided design process
  • Start small and iterate (core agents first, then expand)

References

  • @$AIWG_ROOT/agentic/code/addons/aiwg-dev/README.md — aiwg-dev addon overview
  • @$AIWG_ROOT/docs/extensions/overview.md — Extension system architecture
  • @$AIWG_ROOT/docs/cli-reference.md — CLI reference including scaffold-framework command
  • @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/README.md — SDLC framework as reference implementation
  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/god-session.md — Scope guidelines for agent design within frameworks

Frequently asked questions

What does the Devkit Create Framework AI skill do?

Comma-separated phase names

Why use Devkit Create Framework on TypingMind?

Because you install it once and use it with any model. Devkit Create Framework 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 Framework 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-framework. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Devkit Create Framework?

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 Framework?

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

Is the Devkit Create Framework 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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