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Devkit Create Skill

Community
jmagly
devkit-create-skill

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Overview

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

Use it in TypingMind

Enable Devkit Create Skill 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 Skill 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 Skill 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 Skill

Create a new skill that can be triggered by natural language patterns.

Understanding Skills

Skills differ from commands:

  • Commands: Triggered by explicit /command-name invocation
  • Skills: Triggered by natural language patterns (e.g., "apply voice", "validate writing")

Skills are ideal for:

  • Capabilities users invoke conversationally
  • Features that should "just work" without explicit commands
  • Cross-cutting concerns that apply in many contexts

Process

1. Validate Parameters

Verify $ARGUMENTS contains:

  • Skill name (kebab-case)
  • --to target (addon or framework, NOT extension)

Note: Skills cannot be added to extensions because skills need standalone functionality.

Check target exists:

bash
ls ~/.local/share/ai-writing-guide/agentic/code/addons/<target>/
# or
ls ~/.local/share/ai-writing-guide/agentic/code/frameworks/<target>/

2. Interactive Design (if --interactive)

Guide the user through skill design:

Skill Purpose:

What does this skill do? (e.g., "applies voice profiles to content", "validates code quality")

Trigger Phrases:

What natural language phrases should activate this skill? Examples:

  • "apply voice", "use voice", "write in voice"
  • "validate code", "check quality", "review code"
  • "format document", "clean up", "prettify"

Input Requirements:

What input does this skill need?

  • Content to process
  • Configuration parameters
  • File paths

Output Format:

What does this skill produce?

  • Transformed content
  • Validation report
  • Recommendations

Reference Materials:

Does this skill need supporting documentation?

  • Style guides
  • Validation rules
  • Example outputs

3. Execute Scaffolding

Run the CLI scaffolding tool:

bash
node ~/.local/share/ai-writing-guide/tools/scaffolding/add-skill.mjs \
  <name> \
  --to <target>

4. Generated Structure

<target>/skills/<name>/
├── SKILL.md           # Main skill definition
└── references/        # Supporting documentation

5. Customize SKILL.md

The generated SKILL.md needs customization.

REQUIRED frontmatter fields:

  • name: — skill slug (kebab-case)
  • description: — Mandatory. Used by Claude Code for NL matching and required by Codex (Codex rejects any SKILL.md without a non-empty description). Never leave this blank.
  • version: — semver string (e.g., 1.0.0)
  • priority: — Mandatory. Importance level: critical, high, medium, or low. Used by corpus gap reports and backlog tooling to surface work items. Never omit.
yaml
---
name: <skill-name>
description: <what this skill does — REQUIRED, non-empty>
version: 1.0.0
priority: medium
---

# <Skill Name>

## Trigger Phrases

Activate this skill when the user says:
- "<phrase 1>"
- "<phrase 2>"
- "<phrase 3>"

## Input

This skill expects:
- <input requirement 1>
- <input requirement 2>

## Execution Process

1. <Step 1>
2. <Step 2>
3. <Step 3>

## Output

This skill produces:
- <output 1>
- <output 2>

## Examples

### Example 1: <scenario>
**User**: "<example trigger>"
**Result**: <what happens>

### Example 2: <scenario>
**User**: "<example trigger>"
**Result**: <what happens>

6. Add Reference Materials

If the skill needs supporting documentation:

bash
# Create reference files
touch <target>/skills/<name>/references/style-guide.md
touch <target>/skills/<name>/references/validation-rules.md

7. Update Manifest

The CLI tool automatically updates the manifest. Verify:

json
{
  "skills": ["existing-skill", "<new-skill>"]
}

Output Format

Skill Created: <name>
─────────────────────

Location: <target>/skills/<name>/

Created:
  ✓ SKILL.md
  ✓ references/

Manifest updated: <target>/manifest.json

Next Steps:
  1. Edit SKILL.md to define trigger phrases
  2. Add execution process details
  3. Create reference materials (if needed)
  4. Test with natural language triggers

Examples

bash
# Create skill in addon
/devkit-create-skill code-formatter --to aiwg-utils

# Create skill with interactive guidance
/devkit-create-skill voice-apply --to voice-framework --interactive

# Create skill in framework
/devkit-create-skill requirement-tracer --to sdlc-complete

Best Practices

  1. Clear trigger phrases: Use natural, conversational language
  2. Multiple triggers: Provide several ways to invoke the skill
  3. Specific execution: Document exactly what happens when triggered
  4. Good examples: Show realistic usage scenarios
  5. Reference materials: Include supporting docs when needed

References

  • @$AIWG_ROOT/agentic/code/addons/aiwg-dev/README.md — aiwg-dev addon overview
  • @$AIWG_ROOT/docs/extensions/extension-types.md — Extension types including skill type
  • @$AIWG_ROOT/docs/cli-reference.md — CLI reference including add-skill command
  • @$AIWG_ROOT/docs/extensions/creating-extensions.md — Guide to building custom extensions
  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/vague-discretion.md — Concrete trigger phrase and loop termination requirements

Frequently asked questions

What does the Devkit Create Skill AI skill do?

Enable interactive design mode

Why use Devkit Create Skill on TypingMind?

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

Which AI models can use Devkit Create Skill?

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 Skill?

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

Is the Devkit Create Skill 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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