Run WCAG 2.2 Level AA accessibility audits against generated UI. Use when a story has ui:true or when asked to audit accessibility.
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Read and write design tokens in W3C DTCG format (tokens.json) and emit CSS, Tailwind, and Mantine outputs. Use when modifying or generating design tokens.
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Read and write design tokens in W3C Design Token Community Group (DTCG) format (tokens.json). Emit framework-specific outputs: CSS custom properties, Tailwind config, and Mantine theme object. The tokens.json in docs/design/identity/ is the canonical source of truth; all framework outputs are derived and regenerated — never manually edited.
docs/design/identity/tokens.jsonW3C DTCG format. Each token is an object with $value and $type:
{
"$schema": "https://design-tokens.org/schema/v1.0.0",
"_meta": { "status": "draft", "version": "1.0.0" },
"color": {
"brand": {
"primary": { "$value": "#2563eb", "$type": "color" },
"secondary": { "$value": "#7c3aed", "$type": "color" },
"accent": { "$value": "#0ea5e9", "$type": "color" }
},
"semantic": {
"success": { "$value": "#16a34a", "$type": "color" },
"warning": { "$value": "#d97706", "$type": "color" },
"error": { "$value": "#dc2626", "$type": "color" },
"info": { "$value": "#0284c7", "$type": "color" }
},
"neutral": {
"50": { "$value": "#f8fafc", "$type": "color" },
"500": { "$value": "#64748b", "$type": "color" },
"900": { "$value": "#0f172a", "$type": "color" }
},
"surface": {
"background": { "$value": "#ffffff", "$type": "color" },
"foreground": { "$value": "#0f172a", "$type": "color" },
"muted": { "$value": "#f1f5f9", "$type": "color" },
"border": { "$value": "#e2e8f0", "$type": "color" }
}
},
"typography": {
"fontFamily": {
"sans": { "$value": "Inter, system-ui, sans-serif", "$type": "fontFamily" },
"mono": { "$value": "JetBrains Mono, monospace", "$type": "fontFamily" }
},
"fontSize": {
"sm": { "$value": "0.875rem", "$type": "dimension" },
"base": { "$value": "1rem", "$type": "dimension" },
"lg": { "$value": "1.125rem", "$type": "dimension" },
"xl": { "$value": "1.25rem", "$type": "dimension" },
"2xl": { "$value": "1.5rem", "$type": "dimension" },
"4xl": { "$value": "2.25rem", "$type": "dimension" }
}
},
"spacing": {
"1": { "$value": "0.25rem", "$type": "dimension" },
"2": { "$value": "0.5rem", "$type": "dimension" },
"4": { "$value": "1rem", "$type": "dimension" },
"8": { "$value": "2rem", "$type": "dimension" }
},
"radius": {
"sm": { "$value": "0.125rem", "$type": "dimension" },
"md": { "$value": "0.375rem", "$type": "dimension" },
"lg": { "$value": "0.5rem", "$type": "dimension" },
"full": { "$value": "9999px", "$type": "dimension" }
},
"shadow": {
"sm": { "$value": "0 1px 2px 0 rgb(0 0 0 / 0.05)", "$type": "shadow" },
"md": { "$value": "0 4px 6px -1px rgb(0 0 0 / 0.1)", "$type": "shadow" },
"lg": { "$value": "0 10px 15px -3px rgb(0 0 0 / 0.1)", "$type": "shadow" }
}
}
Output to docs/design/identity/tokens.css:
import json, re
def flatten(obj, prefix=""):
result = {}
for k, v in obj.items():
if k.startswith("$") or k.startswith("_"):
continue
key = f"{prefix}-{k}" if prefix else k
if isinstance(v, dict) and "$value" in v:
result[key] = v["$value"]
elif isinstance(v, dict):
result.update(flatten(v, key))
return result
tokens = json.load(open("docs/design/identity/tokens.json"))
flat = flatten(tokens)
lines = [":root {"]
for name, value in sorted(flat.items()):
css_var = "--" + name.replace(".", "-")
lines.append(f" {css_var}: {value};")
lines.append("}")
with open("docs/design/identity/tokens.css", "w") as f:
f.write("\n".join(lines) + "\n")
print(f"[design-tokens] CSS docs/design/identity/tokens.css vars={len(flat)}")
Output to docs/design/identity/tailwind.tokens.js:
import json
tokens = json.load(open("docs/design/identity/tokens.json"))
def extract_colors():
result = {}
for group, values in tokens.get("color", {}).items():
result[group] = {}
for name, token in values.items():
if "$value" in token:
result[group][name] = token["$value"]
return result
colors = extract_colors()
font_family = {
k: v["$value"]
for k, v in tokens.get("typography", {}).get("fontFamily", {}).items()
}
config = f"""/** @type {{import('tailwindcss').Config}} */
// AUTO-GENERATED — edit docs/design/identity/tokens.json, not this file
module.exports = {{
theme: {{
extend: {{
colors: {json.dumps(colors, indent(6))},
fontFamily: {json.dumps(font_family, indent(6))},
}},
}},
}};
"""
with open("docs/design/identity/tailwind.tokens.js", "w") as f:
f.write(config)
print("[design-tokens] TAILWIND docs/design/identity/tailwind.tokens.js")
Output to docs/design/identity/mantine.theme.ts:
import json
tokens = json.load(open("docs/design/identity/tokens.json"))
primary = tokens["color"]["brand"]["primary"]["$value"]
secondary = tokens["color"]["brand"]["secondary"]["$value"]
theme = f"""// AUTO-GENERATED — edit docs/design/identity/tokens.json, not this file
import {{ createTheme }} from '@mantine/core';
export const theme = createTheme({{
primaryColor: 'brand',
colors: {{
brand: [
'{tokens["color"]["neutral"]["50"]["$value"]}',
'{tokens["color"]["neutral"]["100"]["$value"] if "100" in tokens["color"]["neutral"] else "#f1f5f9"}',
'{tokens["color"]["neutral"]["200"]["$value"] if "200" in tokens["color"]["neutral"] else "#e2e8f0"}',
'{tokens["color"]["neutral"]["300"]["$value"] if "300" in tokens["color"]["neutral"] else "#cbd5e1"}',
'{tokens["color"]["neutral"]["400"]["$value"] if "400" in tokens["color"]["neutral"] else "#94a3b8"}',
'{tokens["color"]["neutral"]["500"]["$value"]}',
'{primary}',
'{tokens["color"]["neutral"]["700"]["$value"] if "700" in tokens["color"]["neutral"] else "#334155"}',
'{tokens["color"]["neutral"]["800"]["$value"] if "800" in tokens["color"]["neutral"] else "#1e293b"}',
'{tokens["color"]["neutral"]["900"]["$value"]}',
],
}},
fontFamily: '{tokens["typography"]["fontFamily"]["sans"]["$value"]}',
fontFamilyMonospace: '{tokens["typography"]["fontFamily"]["mono"]["$value"]}',
}});
"""
with open("docs/design/identity/mantine.theme.ts", "w") as f:
f.write(theme)
print("[design-tokens] MANTINE docs/design/identity/mantine.theme.ts")
When design.target is tui, emit docs/design/identity/terminal-theme.json from tokens.json
instead of the CSS/Tailwind/Mantine outputs. Map each color role to an ANSI-256 index (and the hex)
plus a lipgloss style name, and record the foreground/background pairs with their contrast ratios so
the a11y auditor can flag any pair under WCAG 2.2 AA. Shape:
{
"roles": {
"primary": { "fg": "#7aa2f7", "ansi256": 111, "lipgloss": "primary" },
"muted": { "fg": "#565f89", "ansi256": 60, "lipgloss": "muted" },
"accent": { "fg": "#bb9af7", "ansi256": 141, "lipgloss": "accent" },
"error": { "fg": "#f7768e", "ansi256": 204, "lipgloss": "error" },
"success": { "fg": "#9ece6a", "ansi256": 149, "lipgloss": "success" },
"background": { "bg": "#1a1b26", "ansi256": 234 },
"foreground": { "fg": "#c0caf5", "ansi256": 189 }
},
"pairs": [
{ "role": "foreground", "on": "background", "contrast": 12.6 },
{ "role": "muted", "on": "background", "contrast": 3.4 }
]
}
python3 - <<'EOF'
# Run all three emitters in sequence
# (inline the three scripts above, or import from scripts/emit-tokens.py)
EOF
To update a single token value:
import json, sys
tokens = json.load(open("docs/design/identity/tokens.json"))
# Set tokens["color"]["brand"]["primary"]["$value"] = "#1d4ed8"
# Write back, then re-run all emitters
json.dump(tokens, open("docs/design/identity/tokens.json", "w"), indent=2)
Always re-emit all framework outputs after any token change.
| Condition | Action |
|---|---|
tokens.json malformed | Log parse error with line number. Do not emit partial output. |
| Missing required token key | Log MISSING_TOKEN: {path}. Emit with placeholder TODO value. |
| Emitted file differs from committed | Acceptable — these are always regenerated. |
_meta.status != approved | Log warning. Emit anyway (dev workflow). Gate is in visual-identity approval, not here. |
[design-tokens] READ docs/design/identity/tokens.json tokens=47
[design-tokens] CSS docs/design/identity/tokens.css vars=47
[design-tokens] TAILWIND docs/design/identity/tailwind.tokens.js
[design-tokens] MANTINE docs/design/identity/mantine.theme.ts
[design-tokens] MISSING_TOKEN color.neutral.100 — using placeholder
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Run WCAG 2.2 Level AA accessibility audits against generated UI. Use when a story has ui:true or when asked to audit accessibility.
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Generate a complete component file tree wired to design tokens with tests and Gherkin spec. Use when scaffolding a new UI component.
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Extract Gherkin scenarios from story markdown files into runnable .feature files and generate step definition stubs. Use when syncing stories to test suites.
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Apply Docker and Docker Compose best practices for containerising services. Use when writing or reviewing Dockerfiles and compose configs.
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Identify and annotate cloud cost implications of architectural decisions. Use when reviewing infrastructure changes or designing new services.
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Create, read, update, and link GitHub Issues as story artifacts throughout the story lifecycle. Use when managing issues for stories.
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