Marcos Paulo
aae4d42229
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>
71 lines
2.7 KiB
Markdown
71 lines
2.7 KiB
Markdown
---
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name: design-tokens
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description: 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.
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---
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# Design tokens
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## Before anything
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Read [`../../context/design-system.md`](../../context/design-system.md). This
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site has **three drifting palettes** and a **broken `@font-face`**. Both are
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traps. If you have not read that file, you will "preserve the styles" by
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copying a bug.
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## Extracting
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```bash
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python3 - <<'PY'
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import re
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files=['styles.css','chapters.css','landing.css','rules/styles.css','skills/styles.css',
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'skills-review/styles.css','hands-on/starter/styles.css','hands-on/rules/styles.css']
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seen={}
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for f in files:
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for m in re.finditer(r'--([a-z-]+):\s*([^;}]+)', open(f).read()):
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seen.setdefault(m.group(1),{}).setdefault(m.group(2).strip(),[]).append(f)
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for k,v in sorted(seen.items()):
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print(f"--{k}:")
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for val,fs in v.items(): print(f" {val:12} <- {', '.join(fs)}")
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PY
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```
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Re-run this after any consolidation. Every token should print exactly one value.
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## Consolidating a drifted token
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1. List every value and where it is used (above).
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2. Compute the perceptual delta. Sub-perceptual (a few units per channel) →
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canonicalize freely. Visible (`--blue`: `#527f9f` vs `#215675`) → screenshot
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both, get a human decision, record it in the task file.
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3. Pick the canonical value. Prefer the one used on the most-visited surface.
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4. Replace, then screenshot every affected page at 560/800/1100/1600 px.
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5. Attach before/after images to the task report. "It looked fine to me" is not
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evidence.
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## Naming
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Semantic, matching the existing vocabulary — `--ink`, `--paper`, `--muted`,
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`--line`, `--accent`, `--gold`, `--blue`, `--deep`. Never numeric scales. New
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surfaces extend semantically: `--surface-lab`, `--ink-inverse`.
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## Type scale and breakpoints
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Collapse the 14 ad-hoc `clamp()` triples to named steps and the 16 breakpoints
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to five, per [`../../rules/theming.md`](../../rules/theming.md). When collapsing
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a breakpoint, **screenshot at the old value** — that is where the regression is.
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## Enforcing
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```bash
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node .agents/scripts/check-tokens.mjs # fails on raw hex outside tokens.css
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```
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Wire it into `npm run verify`. A rule nobody checks is a suggestion.
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## The font decision
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Do not self-host Manrope/DM Mono as part of a refactor task. The intended fonts
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have never rendered, so adopting them is a visual redesign. Default to matching
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what renders today (Arial / generic monospace) and delete the dead `@font-face`.
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If a human wants the real fonts, that is its own task with its own screenshots.
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