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Each README is written for a human audience, explaining: - What the skill does (not what format it follows) - What benefit the user gets from installing it - Quick setup and usage patterns - When to load/trigger the skill - What scripts, references, and templates it ships data-scientist already had a README — left unchanged. 48 READMEs added across all skill and bundle directories.
30 lines
1.4 KiB
Markdown
30 lines
1.4 KiB
Markdown
# Software Architecture Analysis — Reverse Engineering to Design Document
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Reverse-engineer a codebase to understand its architecture, data flow, privacy posture, and feature surface — then produce a clean-room design document, PRD, or migration plan.
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## Why Install This Skill
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When your agent loads this skill, it becomes a **codebase archaeologist** who can:
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- **Map repository structure** — identify core components, languages, and frameworks
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- **Extract architecture** — understand how the system is actually built, not how it's documented
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- **Inventory features** — catalog every capability the system provides
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- **Identify implicit contracts** — storage operations, data flows, integration points
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- **Design clean-room alternatives** — re-imagine the system under new constraints (local-first, privacy-first, self-hosted)
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- **Produce specifications** — PRDs, design documents, migration plans with zero source code copying
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## What You Get
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| Directory | Purpose |
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|-----------|---------|
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| `SKILL.md` | 7-phase build workflow, trigger conditions |
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| `references/` | Phase-by-phase guidance with architecture extraction patterns, clean-room methodology |
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## Triggers
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Load this when you need to understand how a codebase works, produce a design document for a system in the same problem space, or create a clean-room specification.
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## Requirements
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Git, a programming language runtime matching the target codebase.
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