Files
ai-for-dummies/.agents/skills/design-tokens/SKILL.md
T
Marcos Paulo aae4d42229 docs: add .agents workspace and the Astro refactor plan
Adds the agent-facing workspace and a 20-task plan for migrating the site
to Astro. Nothing here implements the refactor; these are briefs, rules and
templates that the task agents read.

- .agents/ holds context, rules, checklists, skills, specialist agents,
  component/page/config templates and gate scripts. It is vendor-neutral so
  MiniMax, Gemini and Codex can all read it; CLAUDE.md just points at
  AGENTS.md.
- .husky/ plus .lintstagedrc.json wire the three gate tiers. gate.sh locks on
  the shared git-common-dir so parallel worktrees serialise, and guards the
  assertion count in scripts/verify.mjs against a coverage drop.
- plans/astro-refactor/ carries the phase graph, per-task briefs and the
  model-routing recommendation.

These files must be tracked before fanning out: a worktree only checks out
tracked files, so an untracked plan is invisible to every agent working in one.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-05 01:18:27 +00:00

2.7 KiB

name, description
name description
design-tokens Extract, name, and enforce the design token layer for the ai-for-dummies site. Use when touching any colour, font size, spacing value, or breakpoint, when consolidating the three drifted palettes, or when a check-tokens failure needs resolving.

Design tokens

Before anything

Read ../../context/design-system.md. This site has three drifting palettes and a broken @font-face. Both are traps. If you have not read that file, you will "preserve the styles" by copying a bug.

Extracting

python3 - <<'PY'
import re
files=['styles.css','chapters.css','landing.css','rules/styles.css','skills/styles.css',
       'skills-review/styles.css','hands-on/starter/styles.css','hands-on/rules/styles.css']
seen={}
for f in files:
    for m in re.finditer(r'--([a-z-]+):\s*([^;}]+)', open(f).read()):
        seen.setdefault(m.group(1),{}).setdefault(m.group(2).strip(),[]).append(f)
for k,v in sorted(seen.items()):
    print(f"--{k}:")
    for val,fs in v.items(): print(f"    {val:12} <- {', '.join(fs)}")
PY

Re-run this after any consolidation. Every token should print exactly one value.

Consolidating a drifted token

  1. List every value and where it is used (above).
  2. Compute the perceptual delta. Sub-perceptual (a few units per channel) → canonicalize freely. Visible (--blue: #527f9f vs #215675) → screenshot both, get a human decision, record it in the task file.
  3. Pick the canonical value. Prefer the one used on the most-visited surface.
  4. Replace, then screenshot every affected page at 560/800/1100/1600 px.
  5. Attach before/after images to the task report. "It looked fine to me" is not evidence.

Naming

Semantic, matching the existing vocabulary — --ink, --paper, --muted, --line, --accent, --gold, --blue, --deep. Never numeric scales. New surfaces extend semantically: --surface-lab, --ink-inverse.

Type scale and breakpoints

Collapse the 14 ad-hoc clamp() triples to named steps and the 16 breakpoints to five, per ../../rules/theming.md. When collapsing a breakpoint, screenshot at the old value — that is where the regression is.

Enforcing

node .agents/scripts/check-tokens.mjs   # fails on raw hex outside tokens.css

Wire it into npm run verify. A rule nobody checks is a suggestion.

The font decision

Do not self-host Manrope/DM Mono as part of a refactor task. The intended fonts have never rendered, so adopting them is a visual redesign. Default to matching what renders today (Arial / generic monospace) and delete the dead @font-face. If a human wants the real fonts, that is its own task with its own screenshots.