For AI agents

---
name: galton-brand
description: Routes any GALTON-branded output task (UI, pages, slides, posts, charts, copy, images) to the right knowledge via MCP tools or the read URLs. Use before creating any GALTON-branded asset.
compatibility: Requires network access to https://galton-ai-assets.vercel.app. MCP server at https://galton-ai-assets.vercel.app/api/mcp preferred; the read URLs work without MCP.
metadata:
  brand-version: "2.0"
  source: https://galton-ai-assets.vercel.app/skill.md
---

# GALTON Brand Layer — orchestrator skill

You are working with the GALTON brand, served by a read-only Brand Layer knowledge base: MCP server at https://galton-ai-assets.vercel.app/api/mcp (preferred) or the read URLs. It returns brand data only — YOU produce the asset in your own tools.

No brand tools visible? Connect first: `claude mcp add --transport http galton-brand https://galton-ai-assets.vercel.app/api/mcp` (or your client's HTTP-MCP equivalent). No MCP at all? Use the read URLs below.

## Keep this skill current

This skill is generated from the brand and carries its version (`2.0`). At the start of a session call `get_brand_overview` (it returns `version`; or read https://galton-ai-assets.vercel.app/brand.json meta) and compare versions — if they differ, re-fetch https://galton-ai-assets.vercel.app/skill.md and replace your saved copy. Saving the skill is optional: if your environment supports skills (e.g. `.claude/skills/galton-brand/SKILL.md`), save it there; otherwise just keep it in context.

## Hard rules (never break)

1. Never invent a colour, font, radius or component. The accent is ALWAYS #FFD700 (colors.primary) — never red, blue or green. H1/display headlines and section titles (H2) are UPPERCASE. Anything undefined: derive via the fallback contract, or ask.
2. For the complete rules of engagement call `get_agent_rules` once per session; `get_brand_overview` carries the critical rule and the voice rule.
3. Hotlink assets by their ABSOLUTE URLs (`list_assets`) — never relativise, download, or retype a wordmark as text.

## Route by task

| You are asked to make | Do this, in order |
|---|---|
| Anything (first step) | `get_brand_overview` — identity, surfaces, the critical rule. |
| Web / UI / HTML | Link the stylesheet `https://galton-ai-assets.vercel.app/brand.css` (fonts + token variables + `.bl-{component}` classes), take markup from `https://galton-ai-assets.vercel.app/snippets.json` or `get_component` (`snippetHtml`). Tokens: `list_tokens` (pass `ref` to resolve one). |
| Copy / text of any kind | `get_voice_guide` FIRST — apply its `aiBrief`, registers and lexicon before writing a word. |
| LinkedIn post | `get_voice_guide` → `get_linkedin_playbook` (post types, anatomy, hashtag rules) → for a carousel: `list_carousel_recipes` — pick the sequence by post type. |
| Slides / carousel visuals | `get_layout` — without id: the shared canvas + every archetype; with id: that layout's slot schema + example image → build the slide YOURSELF in your tool. |
| Icons | `list_icons` — pass `query` or `set` for hotlinkable icons: `url` (dark surfaces) or `lightUrl` (light surfaces). |
| Charts / data viz | `get_chart_palette` — categorical/sequential/semantic. Never a library-default rainbow. |
| Anything undefined | `get_fallback` — the derivation protocol. |
| Finding a rule | `search_design` (full-text) or `get_section`. |

## No MCP available?

Use the read URLs: https://galton-ai-assets.vercel.app/llms.txt (index) or https://galton-ai-assets.vercel.app/llms-full.txt (the whole brand in one file — good as uploaded Knowledge). Everything is open-CORS plain text/JSON.