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Add Command

Community
jmagly
add-command

Scaffold a new command definition inside an existing addon or framework

Overview

Publisherjmagly
Repositoryaiwg
Skill nameadd-command
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 Add Command 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-utils/skills/add-command
  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-utils/skills/add-command .claude/skills/add-command
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Command 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 Add Command 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 Add Command 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.

Add Command

Scaffold a new command definition inside an existing addon or framework.

Triggers

Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):

  • "I need a new command" → scaffold command in specified target
  • "build a slash command" → scaffold with slash-command template
  • "add a flow command" → scaffold with orchestration template
  • "new CLI command for X" → derive name, prompt for target

Trigger Patterns Reference

PatternExampleAction
Named add"add command lint-fix --to aiwg-utils"Scaffold directly
Template specified"add command deploy-all --template orchestration"Use named template
Interactive"add command --interactive --to sdlc-complete"Guided mode
Target omitted"add command my-command"Ask which addon or framework

Process

1. Parse Arguments

Extract from $ARGUMENTS:

  • <name> — kebab-case command name (required)
  • --to <target> — addon or framework directory name (required)
  • --template <type> — one of utility (default), transformation, orchestration
  • --interactive — enable guided design questions

If either <name> or --to is missing, ask before proceeding.

2. Understand the Command Model

Commands in AIWG are generated from skills at deploy time. The primary source of truth is the skill definition; the command file is the deployable artifact. This skill scaffolds the command .md file directly inside the target's commands/ directory.

Commands differ from skills:

  • Commands: Invoked explicitly via /command-name $ARGUMENTS
  • Skills: Invoked by natural language pattern matching

Use a command when the user needs explicit control over invocation.

3. Validate Target

Confirm the target exists:

bash
# Check addons
ls agentic/code/addons/<target>/

# Check frameworks
ls agentic/code/frameworks/<target>/

4. Select Template

TemplateUse WhenStructure
utilitySingle action, quick operationArguments, Steps, Output
transformationInput → processed output pipelineInput, Pipeline stages, Output format
orchestrationMulti-agent workflow, phase transitionsPhases, Agent assignments, Gate criteria

5. Interactive Design (if --interactive)

Ask before generating:

  1. Purpose: What does this command do in one sentence?
  2. Arguments: What positional inputs does it accept?
  3. Options: What --flag options should it support?
  4. Steps: What are the 3-7 execution steps?
  5. Output: What should the success output look like?
  6. Error handling: What should happen when inputs are invalid?

6. Run Scaffolding

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

7. Customize the Generated File

markdown
---
name: <name>
description: <one-sentence purpose>
args: [<arg>] [--option value]
---

# Command Title

[Description]

## Usage

\`\`\`
/<name> <arg> [--option value]
\`\`\`

## Arguments

| Argument | Required | Description |
|----------|----------|-------------|
| <arg> | Yes | What it controls |

## Options

| Option | Default | Description |
|--------|---------|-------------|
| --option | value | What it controls |

## Execution

1. Validate inputs
2. [Step 2]
3. [Step 3]

## Output

[What success looks like]

8. Update Manifest

The CLI tool updates <target>/manifest.json. Verify:

json
{
  "commands": ["existing-command", "<name>"]
}

Generated Structure

<target>/commands/<name>.md

Manifest updated: <target>/manifest.json

Output Format

Command Created: <name>
───────────────────────
Location: <target>/commands/<name>.md
Template:  <type>

Created:
  ✓ <target>/commands/<name>.md
  ✓ manifest.json updated

Next Steps:
  1. Define arguments and options
  2. Write execution steps
  3. Specify output format
  4. Deploy: aiwg use <target>
  5. Test: /<name> --help

Examples

Example 1: Utility command

User: "add command validate-intake --to sdlc-complete"

Action:

bash
aiwg add-command validate-intake --to sdlc-complete

Result: agentic/code/frameworks/sdlc-complete/commands/validate-intake.md scaffolded with utility template.

Example 2: Orchestration workflow command

User: "create an orchestration command for running the security review cycle in aiwg-utils"

Extraction: name=security-review-cycle, target=aiwg-utils, template=orchestration

Action:

bash
aiwg add-command security-review-cycle --to aiwg-utils --template orchestration

Example 3: Transformation command

User: "scaffold a command called convert-voice --to voice-framework --template transformation --interactive"

Process: Guided questions clarify input format, transformation pipeline, and output shape before scaffolding.

References

  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/skills/devkit-create-command/SKILL.md — Devkit equivalent (interactive design)
  • @$AIWG_ROOT/src/cli/handlers/scaffolding.ts — CLI handler implementation
  • @$AIWG_ROOT/docs/cli-reference.md — Full CLI reference
  • @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/commands/ — Example command definitions

Frequently asked questions

What does the Add Command AI skill do?

Scaffold a new command definition inside an existing addon or framework

Why use Add Command on TypingMind?

Because you install it once and use it with any model. Add Command 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 Add Command in TypingMind?

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

Which AI models can use Add Command?

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 Add Command?

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

Is the Add Command 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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