agentleFS
naman10parikhnaman10parikh/agentgrid/.claude/skills/architect/SKILL.md

architect

Skill9 starsChanged 5 months agoMITView on GitHub

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

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 145 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read these files for architectural grounding:

    line 8

“Common” is measured: kept by at least 6 in 10 of the 145 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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)

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.