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d-o-hub

architecture-validation

by d-o-hub

A modular Rust-based self-learning episodic memory system for AI agents, featuring hybrid storage with Turso (SQL) and redb (KV), async execution tracking, reward scoring, reflection, and pattern-based skill evolution. Designed for real-world applicability, maintainability, and scalable agent workflows.

3🍴 0📅 Jan 23, 2026

SKILL.md


name: architecture-validation description: Dynamically validate that the implemented codebase matches architectural decisions documented in plan files. Use when validating implementation matches planning documents, checking for architecture drift, or preparing for architecture reviews.

Architecture Validation Skill

Dynamically validate that the implemented codebase matches architectural decisions documented in plan files.

Quick Reference

Purpose

Generic, adaptive framework that:

  • Discovers all plan files in plans/ directory
  • Extracts architectural requirements dynamically
  • Validates implementation compliance
  • Reports gaps, drift, and violations

Key Principle: Be architecture-agnostic. Work with ANY project structure.

When to Use

  • Validating implementation matches planning documents
  • Checking for architecture drift after development
  • Ensuring design decisions are followed
  • Identifying missing implementations
  • Preparing for architecture reviews
  • Verifying refactoring didn't break boundaries

Validation Workflow

  1. Discover - Find all plan files
  2. Extract - Pull architectural elements
  3. Analyze - Compare vs codebase
  4. Validate - Check compliance
  5. Gap Analysis - Identify missing/drift/extra
  6. Report - Generate comprehensive report

See workflow.md for detailed phases and dimensions.md for validation categories.

Score

Total Score

75/100

Based on repository quality metrics

SKILL.md

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+10
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GitHub Stars 100以上

0/15
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1ヶ月以内に更新

+10
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0/5
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+5
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+5
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