Home / yeaight7 / agent-powerups · skills/architecture-decision-records/SKILL.md · GitHub

architecture-decision-records skillA

architecture-decision-records is agent-read markdown (skill) from yeaight7/agent-powerups: Use when a significant architectural choice is being finalized, revisited, or reversed -- technology selection, structural patterns, or trade-offs that future maintainers or agents might unknowingly undo..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

## Purpose

Code tells you *how* a system works. ADRs tell you *why* it works that way, preventing future maintainers (and AI agents) from suggesting "improvements" that were already tried and discarded.

## When to Use

- Finalizing a major design decision (e.g., "Choosing Postgres over MongoDB", "Using custom event bus over Redis")
- Reversing or superseding a previous decision
- A reviewer or agent proposes a change that contradicts an existing constraint

## Inputs

- The decision, the alternatives considered, and the constraints that drove it
- The ADR directory (conventionally docs/adr/)

## Workflow

1. **Check for an existing ADR first** — the decision may already be recorded or superseded:

   ```bash
   ls docs/adr/                          # existing records
   rg -ln "<topic keyword>" docs/adr/    # is this decision already covered?
   ```

2. **Create the record** at `docs/adr/YYYY-MM-DD-<short-title>.md` — date-prefixed for ordering, kebab-case title.

3. **Fill the structure** — keep it under 300 words; focus on constraints, not theory:

   ```markdown
   # <Decision title>

   ## Status
   Accepted | Superseded by <newer ADR filename>

   ## Context
…

Read the whole file at its exact version.

How to install

Latest version
mdr add yeaight7/agent-powerups/architecture-decision-records@git:20260606.f8ac0c2
Exact content
mdr add yeaight7/agent-powerups/architecture-decision-records@sha256:7c9bdbe0b4faf0b5

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_6u6xuhhj6fosaa35.svg)](https://markdownregistry.com/a/art_6u6xuhhj6fosaa35)

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Versions

versioncommittedcommitsizeaudit
git:20260606.f8ac0c2 latest2026-06-06 f8ac0c2 2,933 BA view · diff
git:20260602.08b42402026-06-02 08b4240 816 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2933 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

yeaight7/agent-powerups · 6 stars · license Apache-2.0 · pushed 2026-09-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6u6xuhhj6fosaa35
GET https://markdownregistry.com/api/v1/resolve?ref=yeaight7/agent-powerups/architecture-decision-records
GET https://markdownregistry.com/api/v1/blob/7c9bdbe0b4faf0b5e50bd7fb63d76bc72462ca1941ddf780554cbd58a6388f55

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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