architecture-refiner SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

architecture-refiner from techygarg/lattice is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add techygarg/lattice/architecture-refiner@git:20260903.83fa756

Pins git:20260903.83fa756 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
techygarg/lattice
Path
source/refiners/architecture-refiner/SKILL.md
Versions recorded
1
Latest version
git:20260903.83fa756, committed Sep 3, 2026
Size
14,936 bytes
Repository stars
206
License
MIT

Facilitate a structured conversation to define architecture principles for a repository. Supports multiple architecture styles: clean architecture (default), hexagonal / ports & adapters, modular monolith, or custom. Produces a formal architecture document that the corresponding atom will use. Use when setting up a new project, defining architecture standards, or when the user says 'setup architecture', 'define layers', 'architecture principles', 'help me define my architecture', 'hexagonal…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Architecture Refiner

## Step 0: Style Selection

Before anything else, ask the user which architecture style their team uses:

"What architecture style does your team use?

1. **Clean Architecture** (default) — layers (Domain, Application, Interface, Infrastructure), dependency inversion, command/query separation
2. **Hexagonal / Ports & Adapters** — core domain surrounded by ports, adapters on the outside
3. **Modular Monolith** — vertical slices, each module owns its own layers
4. **Custom / Define from scratch** — you describe the layers and rules"

**Branching:**

- **Option 1** → proceed to the clean architecture flow below (existing interview). Template: `./assets/template-clean-arch.md`. Output: `.lattice/standards/architecture.md`. Config key: `paths.architecture`. No `architecture_mode` key needed (defaults to `clean`).
- **Options 2–4** → proceed to the generic architecture flow. Template: `./assets/template-generic.md`. Output: `.lattice/standards/architecture.md`. Config key: `paths.architecture`. Additionally, set `architecture_mode: custom` in `.lattice/config.yaml`.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add techygarg/lattice/architecture-refiner@sha256:e9b78fa0bb2c32ec

The line at the top of this page pins the label git:20260903.83fa756, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_x5utrssqommewi4b.svg)](https://markdownregistry.com/a/art_x5utrssqommewi4b)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 3, 2026.

versioncommittedcommitsizeaudit
git:20260903.83fa756 latest2026-09-03 83fa756 14,936 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (14936 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

techygarg/lattice · 206 stars · license MIT · pushed 2026-10-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_x5utrssqommewi4b
GET https://markdownregistry.com/api/v1/resolve?ref=techygarg/lattice/architecture-refiner
GET https://markdownregistry.com/api/v1/blob/e9b78fa0bb2c32ec5c7a4d0b24f07f6d1ef1d08061a3b9f7b216b9ba0cea0927

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in techygarg/lattice

Other files named architecture-refiner

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