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Create Styleguide

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Per-surface visual styleguide lifecycle — capture, annotate with token callouts, audit via /review-design, track token debt, and detect visual drift between rounds. Composes /create-design-board and /review-design into a repeatable pipeline.

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  • Added September 11, 2026
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Scanned September 11, 2026

npx -y skills add grahama1970/agent-skills --skill create-styleguide --agent claude-code

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SKILL.md
---
name: create-styleguide
version: 1.0.0
description: >
  Per-surface visual styleguide lifecycle — capture, annotate with token callouts,
  audit via /review-design, track token debt, and detect visual drift between rounds.
  Composes /create-design-board and /review-design into a repeatable pipeline.
provides:
  - styleguide
  - visual-audit
  - token-debt-tracking
composes:
  - create-design-board
  - review-design
  - memory
  - agentic-evals
triggers:
  - create styleguide
  - build styleguide
  - visual styleguide
allowed-tools:
  - Bash
  - Read
  - Write
taxonomy:
  - design
  - compliance
  - visual
disciplines:
  - ui-design-engineering
---

> STOP. READ THIS ENTIRE SKILL.MD BEFORE CALLING ANY ENDPOINT.

# /create-styleguide

Per-surface visual styleguide lifecycle for Embry OS's 10 UX surfaces.

## Commands

- `build` — Full pipeline: annotate -> audit -> debt -> assemble STYLEGUIDE.md
- `annotate` — Just the Pillow annotation step (token callouts on screenshots)
- `audit` — Run /review-design on a surface
- `diff` — Visual regression between rounds (pixel diff + block-SSIM)
- `status` — Show which surfaces have styleguides, debt counts, last audit dates
- `dry-run` — Generate sample output without LLM calls (used by sanity.sh)

## Usage

```bash
./run.sh build --surface S4 --skip-audit
./run.sh annotate --screenshots ./shots/ --tokens ./tokens.json --output ./annotated/
./run.sh diff --surface S4 --before ./round1/ --after ./round2/
./run.sh status
```

Files in this skill

  • SKILL.md1.5 KB
  • annotator.py4.9 KB
  • debt.py2.7 KB
  • differ.py4.5 KB
  • fixtures/agentic_eval.json495 B
  • pyproject.toml159 B
  • registry.py5.9 KB
  • run.sh275 B
  • sanity.sh859 B
  • styleguide.py14.5 KB

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