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commands/c3-components.md

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+---
+description: Identify C3-level components from containers
+argument-hint: [c2-containers-json-path]
+allowed-tools: Task, Read, Bash
+---
+
+Analyze containers and identify C3 components using C4 Model methodology.
+
+## Context
+
+- Input: $1 (default: c2-containers.json)
+- Status: !`test -f ${1:-c2-containers.json} && echo "✓ exists" || echo "✗ missing"`
+- Prerequisites: !`test -f init.json && test -f c1-systems.json && echo "✓ ready" || echo "✗ run /melly-init and /melly-c1-systems and /melly-c2-containers first"`
+
+## Workflow
+
+**1. Validate Prerequisites**
+
+Check that init.json, c1-systems.json, and c2-containers.json exist.
+If missing, inform user to run previous commands first.
+
+**2. Launch c3-abstractor Agent**
+
+Use Task tool to launch c3-abstractor agent:
+- Input: c2-containers.json path (${1:-c2-containers.json})
+- Agent will validate files, load c4model-c3 skill, analyze containers, identify components, and generate c3-components.json
+- Applies C3 methodology automatically
+
+**3. Validate and Report**
+
+After agent completion:
+```bash
+python ${CLAUDE_PLUGIN_ROOT}/validation/scripts/validate-c3-components.py c3-components.json
+```
+
+Report:
+- Components identified (count and breakdown by type/layer)
+- Validation status
+- Next step: /melly-doc-c4model
+
+## Output
+
+- **c3-components.json** - Components with observations, relations, metrics
+- **Validation report** - Structure and dependency validation