infer-physical-architecture-from-code
CommunityRecover concrete runtime architecture from code
Software Engineering#observability#deployment targets#codebase scanning#data stores#architecture inference#physical architecture#auth infrastructure
Authorkapilvirenahuja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It eliminates the gap between a codebase and a concrete, product-specific physical architecture by inferring runtime, deployment, data, caching, queues, search, observability, auth, and scaling directly from evidence in scan-index.json.
Core Features & Use Cases
- Product-specific physical architecture inference: Proposes named products with versions (never categories) by grounding every slot in manifest, Docker, infra, deploy, and CI evidence.
- Evidence-first artifact generation: Produces architecture/physical-architecture.yaml at the Codify STM location for downstream tech-architect /codify workflows.
- Knowledge-gap correctness: Emits unknown_with_gap for missing evidence and records knowledge_gaps with exactly what evidence is needed, avoiding guesses.
Quick Start
Use the infer-physical-architecture-from-code skill to generate a grounded physical-architecture proposal from scan-index.json during /codify.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: infer-physical-architecture-from-code Download link: https://github.com/kapilvirenahuja/garura/archive/main.zip#infer-physical-architecture-from-code Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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