Design System Gtm

Design System for GTM

Overview

When AI agents generate sales collateral, pitch decks, one-pagers, social graphics, and emails, they need a brand system to reference. Without it, every output has different colors, different fonts, different voice — and your brand erodes across every customer touchpoint. This skill defines a complete AI-consumable design system with visual identity, voice/tone, templates, and guardrails. Designed to be read by both humans and AI agents.

Authoritative Foundations

• Google DESIGN.md Specification — Shapes deliverables for this skill — When AI agents generate sales collateral, pitch decks, one-pagers, social graphics, and emails, they need a brand system.
• Stitch 9-Section Brand Format — Shapes deliverables for this skill — When AI agents generate sales collateral, pitch decks, one-pagers, social graphics, and emails, they need a brand system.
• Brad Frost — Atomic Design — Atomic Design
• Nathan Curtis — Design System Monorepo Architecture — Design System Monorepo Architecture
• Dan Mall — Design System Governance — Design System Governance

When to Use

Trigger phrases: "create a design system for our AI-generated content", "define our brand for agents", "build a brand guide for sales materials", "ensure consistent voice across AI outputs", "DESIGN.md specification", "design tokens for agents", "AI brand system", "brand context for Claude"

Step-by-Step Process

Phase 1: Visual Identity System

Color Palette — must include hex, RGB, and HSL:

PRIMARY PALETTE
  Primary:        #0066FF  rgb(0,102,255)   hsl(216,100%,50%)
  Primary Dark:   #0044CC  rgb(0,68,204)    hsl(220,100%,40%)
  Primary Light:  #3388FF  rgb(51,136,255)  hsl(216,100%,60%)

SECONDARY / ACCENT
  Accent:         #FF6600  rgb(255,102,0)   hsl(24,100%,50%)

NEUTRALS
  Ink (text):     #1A1A2E  rgb(26,26,46)    hsl(240,28%,14%)
  Muted Text:     #6B7280  rgb(107,114,128) hsl(220,9%,46%)
  Surface:        #FFFFFF
  Background:     #F9FAFB
  Border:         #E5E7EB

SEMANTIC
  Success:        #10B981  rgb(16,185,129)  hsl(160,84%,39%)
  Warning:        #F59E0B  rgb(245,158,11)  hsl(37,92%,50%)
  Danger:         #EF4444  rgb(239,68,68)   hsl(0,80%,60%)
  Info:           #3B82F6  rgb(59,130,246)  hsl(217,91%,60%)

CSS Variable Output (for agents generating HTML/CSS):

:root {
  --color-primary: #0066FF;
  --color-primary-dark: #0044CC;
  --color-primary-light: #3388FF;
  --color-accent: #FF6600;
  --color-ink: #1A1A2E;
  --color-muted: #6B7280;
  --color-surface: #FFFFFF;
  --color-bg: #F9FAFB;
  --color-border: #E5E7EB;
  --color-success: #10B981;
  --color-warning: #F59E0B;
  --color-danger: #EF4444;
}

Typography System:

HEADINGS: Inter (Google Fonts)
  H1: 48px / 1.1 line-height / 700 weight / letter-spacing: -0.02em
  H2: 36px / 1.2 / 600 / -0.01em
  H3: 24px / 1.3 / 600 / 0
  H4: 20px / 1.3 / 600 / 0

BODY: Inter
  Body L: 18px / 1.6 / 400
  Body: 16px / 1.6 / 400
  Body S: 14px / 1.5 / 400
  Caption: 12px / 1.5 / 400

MONOSPACE (code, data): JetBrains Mono
  Code: 14px / 1.5 / 400

CSS:
  @import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap');
  font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;

Spacing Scale (8px base): 4, 8, 12, 16, 24, 32, 48, 64, 96, 128

Border Radius:

• Buttons, inputs: 8px
• Cards: 12px
• Modals: 16px

Shadows:

• Card: 0 1px 3px rgba(0,0,0,0.08)
• Elevated: 0 4px 12px rgba(0,0,0,0.1)
• Modal: 0 8px 32px rgba(0,0,0,0.12)

Phase 2: Voice and Tone Guide

Brand Voice Attributes (5 — be specific, not vague):

1. Direct — no hedging, no "we believe," no "it could be argued." Say the thing.
2. Data-backed — every claim has a number or source. "Most teams" → "73% of teams."
3. Opinionated — take positions. "We recommend X, not Y" not "There are several approaches."
4. Concrete — "47% reply rate" not "industry-leading engagement."
5. Confident but not arrogant — "Here's what works" not "We're revolutionizing."

Tone by Context:

Banned Words and Phrases:

• "Revolutionary," "high-impact," "disruptive" (vague, overused)
• "Best-in-class," "industry-leading" (meaningless without data)
• "Synergize," "leverage" (as a verb), "holistic" (jargon)
• "We're excited to announce" (nobody cares if you're excited)
• Passive voice: "Results were achieved" → "We achieved results"

Preferred Language Patterns:

• Active voice always. "We built" not "It was built."
• Present tense. "The platform processes" not "The platform will process."
• Short sentences. Under 25 words when possible.
• Bullets over paragraphs in decks and one-pagers.

Phase 3: Asset Templates

Slide Master Template:

• 16:9 aspect ratio
• Header: Inter 36px, primary color, left-aligned
• Body: Inter 18px, ink color
• Footer: company logo (bottom-right), slide number (bottom-left), 12px muted
• Data slides: charts in primary + accent palette, no decorative elements

One-Pager Template:

• A4/US Letter
• Header: logo + product name
• Hero: value prop (H2), one-line description, hero image
• Body: 3-column feature grid
• Social proof: 3 customer logos + 1 testimonial
• CTA: prominent button/contact info
• Footer: company info, legal

Email Signature:

[First Name] [Last Name]
[Title] | [Company Name]
[Phone] | [Website]
[Calendly link]
[Company logo — 80px wide]

Data Visualization Style:

• Primary + neutral palette (limit to 5 data colors)
• No 3D charts, no pie charts (use bar/line/scatter)
• Direct labels (no legends when possible)
• Source line: "Source: [name], [date]" in 10px muted

Phase 4: Brand Guardrails

Always Acceptable (AI can generate without review):

• Social graphics using brand colors, typography, and voice
• Email copy following tone guidelines
• Blog post drafts (human reviews before publishing)
• Data visualizations in brand style
• Landing page sections following template

Requires Human Review:

• Customer-facing decks (check data accuracy)
• Pricing pages (legal/commercial review)
• Press releases (legal review)
• Customer quotes/testimonials (customer approval)
• Any content referencing specific customers

Never Allowed:

• Competitive claims without cited sources
• Revenue/growth numbers not publicly disclosed
• Customer names without explicit permission
• Guarantees or promises ("100% deliverability")
• Any content that implies endorsement by a named authority

Integration with Claude Code Design

When using Claude Code to generate branded assets, load this skill alongside claude-design and popular-web-designs:

1. claude-design → drives the design process and artifact creation
2. design-system-gtm (this skill) → provides brand tokens and rules
3. popular-web-designs → provides visual vocabulary from known brands

The agent should output CSS variables matching this design system's tokens and follow the voice/tone guidelines for any copy it generates.

Output Format

DESIGN SYSTEM — [Company Name]

File: DESIGN.md (version controlled in repo)

Sections:
1. Brand Overview (2-3 sentence positioning)
2. Visual Identity (colors, typography, spacing, radii, shadows)
3. CSS Variable Output (copy-paste ready)
4. Voice and Tone (attributes, per-context, banned words)
5. Asset Templates (slide, one-pager, email, social, data viz)
6. Brand Guardrails (acceptable / review / never)
7. AI Agent Usage (how agents should reference this system)

Implementation Checklist

• All colors have hex, RGB, and HSL values
• CSS variable block is copy-pasteable into any project
• Typography includes Google Fonts import URL and font stack
• Voice attributes are specific and testable ("direct" > "professional")
• Banned words list exists (10+ entries)
• Tone guide covers at least 5 contexts
• Asset templates include specific dimensions and specs
• Guardrails have 3 clear tiers (always acceptable / review / never)
• AI agent usage instructions included (how to reference, what to load)
• File is version-controlled and linked from README

Quality Check

Before delivering, verify:

• Output matches the user's stated request
• Named frameworks or sources are reflected in the recommendation
• The deliverable is specific enough for an agent to execute
• Any assumptions, risks, or dependencies are explicit
• No unsupported claims, invented facts, or private/internal references are included

Common Pitfalls

1. Vague voice guidelines. "Professional and friendly" is useless. Agents need specific, testable attributes: "Short sentences. Active voice. No passive constructions. Data before adjectives." Fix: For each voice attribute, provide 3 examples of "this, not that."

2. RGB without hex. AI agents reference hex codes for HTML/CSS generation. Including RGB is good. Including only RGB is not. Fix: Hex is the primary color format for agents. RGB and HSL are supplementary.

3. No CSS variable output. Agents generating HTML need copy-pasteable CSS. Wading through a color palette table to extract hex codes produces errors. Fix: Include a :root {} CSS block with all design tokens.

4. Ignoring dark mode. Many agent-generated artifacts (dashboards, presentations) look different in dark mode. Fix: Include dark mode color variants or document that the brand is light-mode-only.

5. No guardrails. Without explicit rules, agents will improvise — and sometimes generate content that's off-brand, legally risky, or factually wrong. Fix: Clear tiered guardrails: acceptable, review, never.

6. Design system as PDF. If your design system is a Figma file or PDF, AI agents can't read it. Fix: DESIGN.md in markdown, version controlled, linked from all agent configuration files.

Execution Artifacts

• references/framework-notes.md — named frameworks, citation anchors, and operating assumptions
• templates/output-template.md — copy-paste deliverable structure for the user
• scripts/check-output.py — local checklist validator for required sections This skill includes lightweight artifacts the agent can load on demand: Use the artifacts when the user asks for an implementation-ready deliverable, a repeatable workflow, or a quality check rather than generic advice.

Related Skills

• claude-design — Design process for one-off HTML artifacts
• popular-web-designs — 54 known-brand design systems for visual vocabulary
• design-system-builder — Build complete design systems from references
• brand-kit — Logo design, color palette, typography, asset templates
• ui-ux-gtm — Landing pages, forms, signup flows, dashboards
• effective-ui-design — Professional UI design guidelines