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architect SKILL.md skillA

architect from naman10parikh/agentgrid is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add naman10parikh/agentgrid/architect@git:20260526.f887f6c

Pins git:20260526.f887f6c in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: naman10parikh/agentgrid
Path: .claude/skills/architect/SKILL.md
Versions recorded: 1
Latest version: git:20260526.f887f6c, committed May 26, 2026
Size: 1,204 bytes
Repository stars: 9
License: MIT

Use when making architectural decisions for the Energy/NRG platform. Loads architecture from VISION.md and debates trade-offs using Socratic thinking.

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

## Context Loading

Read these files for architectural grounding:

1. `docs/vision/VISION.md` lines 1-60 (Super TLDR)
2. `docs/vision/VISION.md` lines 203-1000 (How It Actually Works)

## Decision Protocol

1. **State the question clearly** — one sentence.
2. **List 3+ approaches** — each with:
   - Pros (why this works)
   - Cons (what breaks at scale)
   - Precedent (who does this already?)
3. **Second-order thinking** — what happens when this scales 100x? What about 1000x?
4. **Third-order thinking** — how does this affect the AutoLab loop? The GEA mesh?
5. **Recommend one approach** with clear justification.
6. **Name what you're sacrificing** — every choice has a cost. State it.

## Reference Patterns

- Harness > model (same model, different scaffold → 42% vs 78%)
- Bootstrap memory ≤ 2,000 tokens (Level 1 always loaded)
- Progressive disclosure (load skills on demand, not upfront)
- Model routing by step complexity (Haiku for parsing, Sonnet for reasoning, Opus for architecture)

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add naman10parikh/agentgrid/architect@sha256:a98ae2e06a596bef

The line at the top of this page pins the label git:20260526.f887f6c, 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](https://markdownregistry.com/badge/art_xw6ng7cmq7tl2dcv.svg)](https://markdownregistry.com/a/art_xw6ng7cmq7tl2dcv)

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

Versions

The registry has recorded 1 version of this file, committed on May 26, 2026.

version	committed	commit	size	audit
git:20260526.f887f6c latest	2026-05-26	f887f6c	1,204 B	A	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 (1204 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

naman10parikh/agentgrid · 9 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xw6ng7cmq7tl2dcv
GET https://markdownregistry.com/api/v1/resolve?ref=naman10parikh/agentgrid/architect
GET https://markdownregistry.com/api/v1/blob/a98ae2e06a596bef18dee2115f5d8e917074caa027e41419e8242c0dce62a684

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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