Aiwg scaffold-addon

Create a complete addon package structure inside agentic/code/addons/

install

source · Clone the upstream repo

git clone https://github.com/jmagly/aiwg

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/jmagly/aiwg "$T" && mkdir -p ~/.claude/skills && cp -r "$T/agentic/code/addons/aiwg-utils/skills/scaffold-addon" ~/.claude/skills/jmagly-aiwg-scaffold-addon-a71054 && rm -rf "$T"

manifest: agentic/code/addons/aiwg-utils/skills/scaffold-addon/SKILL.md

source content

Scaffold Addon

Create a complete addon package structure inside

agentic/code/addons/

Triggers

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

"I need a new addon" → scaffold addon with given name
"create an addon package" → prompt for name, scaffold
"build a new AIWG addon" → prompt for name and description
"new feature bundle" → clarify as addon, prompt for name

Trigger Patterns Reference

Pattern	Example	Action
Named scaffold	"scaffold addon security-scanner"	Scaffold directly
Interactive	"scaffold addon --interactive"	Guided design mode
Description-driven	"create an addon for Python linting"	Derive name= `python-lint` , confirm
With description	"scaffold addon metrics --description 'Cost and token tracking'"	Scaffold with description pre-set

Understanding Addons

Addons are self-contained feature bundles that extend AIWG without belonging to a specific lifecycle framework. Examples:

Addon	Purpose
`aiwg-utils`	Core meta-utilities (this addon)
`voice-framework`	Voice profiles and writing style enforcement
`testing-quality`	Test quality validation agents
`rlm`	Reflection-learning memory patterns
`ring-methodology`	Ring-based development methodology

Addons differ from frameworks:

Addons: Cross-cutting feature bundles, installed alongside frameworks
Frameworks: Complete lifecycle management systems (sdlc-complete, media-marketing-kit)

Process

1. Parse Arguments

Extract from

$ARGUMENTS

```
<name>
```
— kebab-case addon name (required)
```
--description "<text>"
```
— short description (optional; prompted if absent)
```
--author "<name>"
```
— author name (optional)
```
--interactive
```
— enable guided design questions
```
--core
```
— mark as core addon (auto-installed with every AIWG install)

<name>

is missing, ask before proceeding.

2. Validate Name

Must be kebab-case (lowercase letters and hyphens only)
Must not conflict with existing addons:

ls agentic/code/addons/

If conflict found, report existing addons and stop.

3. Interactive Design (if --interactive)

Ask before generating:

Purpose: What is the primary purpose of this addon? (1-2 sentences)
Capabilities: What specific capabilities will it provide? (list)
Target users: Who benefits from this addon? (developers, architects, writers)
Core status: Should this auto-install with every AIWG installation?
Initial agents: Should starter agent files be scaffolded?
Initial skills: Should starter skill directories be scaffolded?
Initial rules: Should starter rule files be scaffolded?

4. Run Scaffolding

aiwg scaffold-addon <name> [--description "..."] [--author "..."]

5. Customize Generated Files

manifest.json — The addon's registry entry:

{
  "name": "<name>",
  "version": "1.0.0",
  "description": "<description>",
  "author": "<author>",
  "core": false,
  "autoInstall": false,
  "agents": [],
  "commands": [],
  "skills": [],
  "rules": [],
  "templates": [],
  "behaviors": []
}

README.md — Document the addon's purpose, capabilities, and usage.

6. Add Initial Components (if interactive)

After scaffold, offer to create starter components:

# Add a starter agent
aiwg add-agent <role> --to <name>

# Add a starter skill
aiwg add-skill <capability> --to <name>

# Add a starter rule
# (create manually: <name>/rules/<rule-id>.md)

7. Verify Structure

ls agentic/code/addons/<name>/

All required files must be present before deploying.

Generated Structure

agentic/code/addons/<name>/
├── README.md          # Addon documentation
├── manifest.json      # Addon configuration and component registry
├── agents/            # Agent definitions (.md files)
├── skills/            # Skill definitions (<skill>/SKILL.md)
├── rules/             # Rule files (.md files)
└── templates/         # Document templates

Output Format

Addon Created: <name>
─────────────────────
Location: agentic/code/addons/<name>/

Created:
  ✓ README.md
  ✓ manifest.json
  ✓ agents/
  ✓ skills/
  ✓ rules/
  ✓ templates/

Next Steps:
  1. Edit README.md with addon purpose and usage
  2. Update manifest.json (description, author, core flag)
  3. Add agents:    aiwg add-agent <name> --to <addon>
  4. Add skills:    aiwg add-skill <name> --to <addon>
  5. Add rules:     create <addon>/rules/<rule-id>.md
  6. Deploy:        aiwg use <addon>
  7. Validate:      aiwg validate-metadata

Examples

Example 1: Simple addon

User: "scaffold addon security-scanner"

Action:

aiwg scaffold-addon security-scanner

Result:

agentic/code/addons/security-scanner/

created with full directory structure and empty manifests.

Example 2: Addon with description

User: "create a new addon package called cost-tracking with description 'Token usage and cost monitoring'"

Action:

aiwg scaffold-addon cost-tracking --description "Token usage and cost monitoring"

Example 3: Interactive guided creation

User: "scaffold addon --interactive"

Process: Guided questions establish purpose, capabilities, target users, core status, and initial components. Starter agents and skills scaffolded automatically based on answers.

References

@$AIWG_ROOT/agentic/code/addons/aiwg-utils/skills/devkit-create-addon/SKILL.md — Devkit equivalent (interactive design)
@$AIWG_ROOT/src/cli/handlers/scaffolding.ts — CLI handler implementation
@$AIWG_ROOT/docs/cli-reference.md — Full CLI reference
@$AIWG_ROOT/agentic/code/addons/ — Existing addon examples