swarm-design-architecture SKILL.md skillA

swarm-design-architecture from etr/groundwork is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add etr/groundwork/swarm-design-architecture@git:20260913.4897495

Pins git:20260913.4897495 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
etr/groundwork
Path
skills/swarm-design-architecture/SKILL.md
Versions recorded
5
Latest version
git:20260913.4897495, committed Sep 13, 2026
First version recorded
Jun 22, 2026
Size
20,687 bytes
Repository stars
45
License
MIT

Design architecture using parallel advocate agents for adversarial technology comparison. Usage /groundwork:swarm-design-architecture.

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

# Swarm Architecture Design

## Overview

Parallel adversarial research. Multiple advocate agents each build the strongest honest case for one technology option while challenging competitors. Produces balanced trade-off analysis that fights the anchoring bias of single-researcher exploration.

**Core principle:** One researcher anchors on whichever technology they explore first. Advocates who must challenge each other cannot.

This skill extends the `groundwork:design-architecture` workflow. Steps 1-2 and 5-6 follow that skill exactly. **Step 3 (Research) is replaced** by the swarm research phase. Step 4 (Iterate Decisions) is enhanced with aggregated adversarial findings.

## Pre-flight: Model Recommendation

**Your current effort level is `{{effort_level}}`.**

Skip this step silently if effort is `high`, `xhigh`, or `max` (the scale is `low` < `medium` < `high` < `xhigh` < `max`, so `xhigh` and `max` are already above `high`) AND you are Opus (1M context).
If effort is `low` or `medium` (i.e. below `high`), you MUST show the recommendation prompt — regardless of model.
If you are not Opus (1M context), you MUST show the recommendation prompt - regardless of effort level.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add etr/groundwork/swarm-design-architecture@sha256:6722ee36354949dc

The line at the top of this page pins the label git:20260913.4897495, 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_fermna6bphvfn56p.svg)](https://markdownregistry.com/a/art_fermna6bphvfn56p)

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

Versions

The registry has recorded 5 versions of this file, between Jun 22, 2026 and Sep 13, 2026, about one every 21 days.

versioncommittedcommitsizeaudit
git:20260913.4897495 latest2026-09-13 4897495 20,687 BA view · diff
git:20260912.3e89f412026-09-12 3e89f41 20,626 BA view · diff
git:20260912.480a1452026-09-12 480a145 20,023 BA view · diff
git:20260624.e5338272026-06-24 e533827 18,917 BA view · diff
git:20260622.36090642026-06-22 3609064 18,777 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 (20687 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

etr/groundwork · 45 stars · license MIT · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_fermna6bphvfn56p
GET https://markdownregistry.com/api/v1/resolve?ref=etr/groundwork/swarm-design-architecture
GET https://markdownregistry.com/api/v1/blob/6722ee36354949dc327913d598bbbd4bbe3d099c3ea393956d2015a821a64bc0

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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