1.5 KiB
1.5 KiB
description, argument-hint, allowed-tools
| description | argument-hint | allowed-tools | |
|---|---|---|---|
| Identify C4-level code elements from components |
|
Task, Read, Bash |
Analyze components and identify C4 code elements using C4 Model methodology.
Context
- Input: $1 (default: c3-components.json)
- Status: !
test -f ${1:-c3-components.json} && echo "✓ exists" || echo "✗ missing" - Prerequisites: !
test -f init.json && test -f c1-systems.json && test -f c2-containers.json && test -f c3-components.json && echo "✓ ready" || echo "✗ run /melly:init, /melly:c1-systems, /melly:c2-containers, and /melly:c3-components first"
Workflow
1. Validate Prerequisites
Check that init.json, c1-systems.json, c2-containers.json, and c3-components.json exist. If missing, inform user to run previous commands first.
2. Launch c4-abstractor Agent
Use Task tool to launch c4-abstractor agent:
- Input: c3-components.json path (${1:-c3-components.json})
- Agent will validate files, load c4model-c4 skill, analyze components, identify code elements, and generate c4-code.json
- Applies C4 methodology automatically
3. Validate and Report
After agent completion:
python3 ${CLAUDE_PLUGIN_ROOT}/validation/scripts/validate-c4-code.py c4-code.json
Report:
- Code elements identified (count and breakdown by type/component)
- Validation status
- Next step: /melly:doc-c4model
Output
- c4-code.json - Code elements with observations, relations, metrics
- Validation report - Structure and relationship validation