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)
The line at the top of this page pins the label git:20260526.e594bbf, 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.
GET https://markdownregistry.com/api/v1/artifacts/art_7pniijpsgah7qw6i
GET https://markdownregistry.com/api/v1/resolve?ref=naman10parikh/wikimem/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.
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