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