Devkit Create Agent logo

Devkit Create Agent

Community
jmagly
devkit-create-agent

Create a new agent with AI-guided expertise definition following the Agent Design Bible

Overview

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

Use it in TypingMind

Enable Devkit Create Agent 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 Agent 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 Agent 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 Agent

Create a new agent with AI assistance to define expertise, workflow, and capabilities.

Follows: Agent Design Bible - 10 Golden Rules for production-grade agents.

Research Foundation: REF-001 (Bandara et al.), REF-002 (Roig 2025) failure archetype prevention.

Usage

/devkit-create-agent <name> --to <target> [options]

Arguments

ArgumentRequiredDescription
nameYesAgent name (kebab-case recommended)

Required Options

OptionDescription
--toTarget addon or framework

Optional Options

OptionDescription
--templateAgent template: simple (default), complex, orchestrator
--interactiveEnable interactive mode with guided questions

Templates

Templates are in ~/.local/share/ai-writing-guide/templates/agent-scaffolding/.

simple (default)

Single-purpose, focused agent with minimal structure (Rule 1: Single Responsibility).

  • Best for: Utility agents, single-task specialists
  • Model: haiku (efficiency tier)
  • Tools: Read, Write (Rule 2: Minimal Tools)

complex

Full reasoning agent with all safeguards including failure archetype prevention.

  • Best for: Subject matter experts, reviewers, analysts
  • Model: sonnet/opus (based on complexity)
  • Tools: Read, Write, Grep (Rule 2: 0-3 tools)
  • Includes: Grounding, uncertainty handling, recovery protocol

orchestrator

Multi-agent coordination with workflow patterns and agent assignment tables.

  • Best for: Workflow coordinators, phase managers
  • Model: opus (Rule 8: reasoning tier for coordination)
  • Tools: Task only (Rule 2: single tool for delegation)

validator

Read-only validation agent that doesn't modify state.

  • Best for: Quality gates, compliance checks, code review
  • Model: haiku/sonnet
  • Tools: Read, Grep (read-only)

Interactive Mode

When --interactive is specified, I will ask:

  1. Role: What is this agent's primary role?
  2. Expertise: What domains does it specialize in?
  3. Responsibilities: What are its key responsibilities?
  4. Tools: What tools does it need access to?
  5. Workflow: How should it approach tasks?
  6. Output: What format should its output take?

Examples

bash
# Simple agent
/devkit-create-agent code-reviewer --to aiwg-utils

# Complex domain expert
/devkit-create-agent security-auditor --to sdlc-complete --template complex

# Orchestrator agent
/devkit-create-agent deployment-coordinator --to sdlc-complete --template orchestrator --interactive

Execution

  1. Validate inputs: Check name and target
  2. Verify target exists: Ensure addon/framework is installed
  3. Select template: Use specified or default to simple
  4. Gather expertise: In interactive mode, ask about domain knowledge
  5. Generate agent file: Create with frontmatter and sections
  6. Update manifest: Add agent to manifest.json
  7. Report success: Show location and customization tips

Output Location

<target>/agents/<name>.md

Agent File Structure

markdown
---
name: agent-name
description: Agent description
model: claude-sonnet-5
tools: Read, Write, MultiEdit, Bash, WebFetch
---

# Agent Title

[Description]

## Expertise
[Domain knowledge]

## Responsibilities
[What the agent does]

## Workflow
[How it approaches tasks]

## Output Format
[Expected output structure]

CLI Equivalent

bash
aiwg add-agent <name> --to <target> --template <type>

10 Golden Rules Validation

After creation, validate against the Agent Design Bible:

bash
aiwg lint agents <target>/agents/<name>.md --verbose
RuleCheck
1. Single ResponsibilityOne clear purpose, no "and" overload
2. Minimal Tools0-3 tools, justified
3. Explicit I/OInputs and outputs defined
4. GroundingVerify before acting (Archetype 1)
5. UncertaintyEscalate ambiguity (Archetype 2)
6. Context ScopeFilter distractors (Archetype 3)
7. RecoveryHandle errors (Archetype 4)
8. Model TierMatch task complexity
9. Parallel ReadyConcurrent execution safe
10. ObservableTraceable output

Related Commands

  • /devkit-create-command - Create a slash command
  • /devkit-create-skill - Create an auto-triggered skill
  • /devkit-validate - Validate agent structure
  • aiwg lint agents - Validate against 10 Golden Rules

References

  • @$AIWG_ROOT/agentic/code/addons/aiwg-dev/README.md — aiwg-dev addon overview
  • @$AIWG_ROOT/docs/extensions/extension-types.md — Extension types including agent type
  • @$AIWG_ROOT/docs/cli-reference.md — CLI reference including add-agent command
  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/god-session.md — Single-responsibility rules for agents
  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/agent-deployment.md — Agent metadata structure and multi-provider deployment

Frequently asked questions

What does the Devkit Create Agent AI skill do?

Create a new agent with AI-guided expertise definition following the Agent Design Bible

Why use Devkit Create Agent on TypingMind?

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

Which AI models can use Devkit Create Agent?

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 Agent?

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

Is the Devkit Create Agent 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇