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Manages Architecture Decision Records (ADRs) when modifying architecturally significant files.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Scans the codebase for tech debt — balls of mud, shallow modules, and DRY violations — then presents prioritized bottlenecks and hands off to TDD-driven refactoring via superpowers.
Forces DDD ubiquitous language definition before writing complex logic. Grills the user on business terminology, extracts a glossary, and documents it before handing off to brainstorming.
Sets up a new project for the AI workflow — creates AGENTS.md, mise.toml tasks, initializes CodeGraph, and seeds Engram memory. Optional/auxiliary skill.
Evidence-first development for high-stakes code. Writes a concrete spec, enforces strict TDD, then runs code through a gauntlet of 6 checks and generates an EVIDENCE.md report with raw numbers.
Enforces Red-Green-Refactor Test Driven Development workflow.
Enforces build, test, and lint gates with a self-correction loop and retry budget.
| name | adr-manager |
| description | Manages Architecture Decision Records (ADRs) when modifying architecturally significant files. |
You are responsible for maintaining the architectural history of this project.
This skill is triggered whenever you modify files that are "architecturally significant." This includes, but is not limited to:
requirements.txt, package.json, pyproject.toml)docs/adr directory to understand existing decisions and determine the next ID (e.g., 0005).docs/adr/XXXX-title.md using the following template:# ADR [ID]: [Title]
**Status**: Proposed | Accepted | Superseded
**Date**: [YYYY-MM-DD]
## Context
What is the problem we are solving? What are the constraints?
## Decision
What is the proposed change? Why this path over others?
## Consequences
What are the trade-offs? What new technical debt or benefits are introduced?
adr_log tool to update the index file (docs/adr/README.md).Documenting decisions ensures that the reasoning behind complex changes is not lost as the AI or team evolves.