Claude Skills is a library of reusable capability packages that give Claude task-specific instructions, terminology, and output formats for building, launching, operating, and growing websites and brands. People working on branding, design, content, SEO, development, operations, growth, or research can use the skills across different website stacks. The catalogue contains selected skills and plugins from the library.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add rampstackco/claude-skills --skill brand-archetype-systemgit clone --depth 1 https://github.com/rampstackco/claude-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rampstackco/claude-skills/brand-archetype-system)<a href="https://agentmods.dev/skills/rampstackco/claude-skills/brand-archetype-system"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/brand-archetype-system/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rampstackco/claude-skills/brand-archetype-system"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/brand-archetype-system.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00163 | $0.01692 |
| Opus 5.5 | $0.00065 | $0.00677 |
| Sonnet 5.5 | $0.00033 | $0.00338 |
| Haiku 4.5 | $0.00016 | $0.00169 |
Grade A, and why
brand-archetype-system scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Archetype System
Pre-composed aesthetic archetype defaults that jumpstart brand design work. Each archetype bundles color tendencies, type pairings, layout patterns, voice samples, and imagery direction for a recognizable aesthetic family. Stack-agnostic. Tool-agnostic.
This is a starting-point library, not a methodology library. The agent applies archetype defaults to a specific brief; the archetypes themselves provide anchor points, not endpoints.
When to use
- The user wants a starting point rather than designing from first principles
- The user references a brand or aesthetic family they want to design near
- Need to converge faster from many directions to one
- The user wants vertical-typical defaults (for example fintech consumer, B2B developer tools)
- The user wants to test what a brief would look like in a different archetype
When NOT to use
- The user wants pure methodology guidance (use
brand-identity) - The user is in early ideation needing positioning territories (use
brand-ideation) - Defining voice for an existing brand (use
brand-voice) - Documenting a finished brand (use
brand-style-guide)
How this composes with other skills
This skill works upstream of brand-identity (provides starting defaults that brand-identity refines into a finished system) and parallel to creative-direction (archetypes can be located by position on the 4 creative-direction axes).
Typical flow when this skill is invoked:
- User provides a brief or references a target archetype
- Agent picks the most relevant core archetype, or composes from 2 adjacent archetypes
- Agent adapts the archetype's defaults to the brief (color tokens shift, type swaps to vertical-appropriate fonts, voice samples rewrite for the brand)
- Agent flags adaptation choices made
Direct verbatim copying of an archetype's default palette into a new brand is a failure mode. Archetypes constrain the design space; the brief specifies the point within that space.
What ships with it
33 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- README.md 363 B
- references/00-archetype-system-overview.md 3.2 KB
- references/01-how-to-apply-an-archetype.md 3.8 KB
- references/by-vertical/01-b2b-saas-developer-tools.md 3.5 KB
- references/by-vertical/02-b2b-saas-business-productivity.md 3.5 KB
- references/by-vertical/03-b2b-saas-marketing-sales.md 3.3 KB
- references/by-vertical/04-b2b-saas-data-analytics.md 3.2 KB
- references/by-vertical/05-fintech-consumer.md 3.2 KB
- references/by-vertical/06-fintech-enterprise.md 3.4 KB
- references/by-vertical/07-dtc-fashion.md 3.4 KB
- references/by-vertical/08-dtc-beauty.md 3.4 KB
- references/by-vertical/09-dtc-home-lifestyle.md 3.4 KB
- references/by-vertical/10-dtc-food-beverage.md 3.4 KB
- references/by-vertical/11-consumer-health-wellness.md 3.4 KB
- references/by-vertical/12-hospitality-travel.md 3.2 KB
- references/by-vertical/13-media-publishing.md 3.2 KB
- references/by-vertical/14-edtech.md 3.5 KB
- references/by-vertical/15-gaming-entertainment.md 3.4 KB
- references/by-vertical/16-marketplace.md 3.4 KB
- references/by-vertical/17-crypto-web3.md 3.4 KB
- references/by-vertical/18-real-estate-proptech.md 3.6 KB
- references/core-archetypes/01-editorial-restrained.md 6.1 KB
- references/core-archetypes/02-technical-precise.md 6.5 KB
- references/core-archetypes/03-warm-conversational.md 6.8 KB
- references/core-archetypes/04-bold-confident.md 6.2 KB
- references/core-archetypes/05-playful-energetic.md 6.5 KB
- references/core-archetypes/06-luxe-considered.md 6.8 KB
- references/core-archetypes/07-clinical-trustworthy.md 7.2 KB
- references/core-archetypes/08-rugged-utilitarian.md 6.8 KB
- references/core-archetypes/09-retro-nostalgic.md 7.2 KB
- references/core-archetypes/10-minimal-essentialist.md 6.8 KB
- references/core-archetypes/11-vibrant-saturated.md 6.6 KB
- references/core-archetypes/12-documentary-honest.md 7.0 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 144 lines · 163 tokens per session scan A 639b0266c564
brand-archetype-system is a skill published in the GitHub repository rampstackco/claude-skills (1,001 stars, last pushed yesterday), licensed MIT. It adds 163 tokens to every session and 1,692 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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