design-intent-specialist

design-intent-specialist is a skill for Claude Code from joaquimscosta/arkhe-claude-plugins. It costs 55 tokens per session (718 once invoked), scanned A, original, MIT.

A frontend implementation guide for turning screenshots, Figma designs, and other visual references into working interfaces. It also checks the project's existing design patterns before making changes.

In plain words
What is it for?
It helps analyze references, build interfaces section by section, preserve visual consistency, and flag differences in choices such as spacing.
Why use it?
It helps resolve differences between a visual reference and the design rules already used in a project. It makes those conflicts visible before implementation decisions are finalized.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the design-intent plugin — 4 skills, 5 commands, 3 agents shipped together

Good fit It helps analyze references, build interfaces section by section, preserve visual consistency, and flag differences in choices such as spacing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/joaquimscosta/arkhe-claude-plugins/design-intent-specialist
Install

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.

Any agent
npx skills add joaquimscosta/arkhe-claude-plugins --skill design-intent-specialist
Clone the repo
git clone --depth 1 https://github.com/joaquimscosta/arkhe-claude-plugins

Made for: Claude Code.

Or install design-intent, the plugin that ships this one along with the rest of its 4 skills, 5 commands, 3 agents.

Wrote 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.

agentmods badge for design-intent-specialist

README.md
[![agentmods](https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/design-intent-specialist/github.svg)](https://agentmods.dev/skills/joaquimscosta/arkhe-claude-plugins/design-intent-specialist)
Your own site
<a href="https://agentmods.dev/skills/joaquimscosta/arkhe-claude-plugins/design-intent-specialist"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/design-intent-specialist/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.

agentmods 80×15 button for design-intent-specialist

Your own site · 80×15
<a href="https://agentmods.dev/skills/joaquimscosta/arkhe-claude-plugins/design-intent-specialist"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/design-intent-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 718 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00718
Opus 5 $0.00028 $0.00359
Sonnet 5 $0.00011 $0.00144
Haiku 4.5 $0.00006 $0.00072

Measured 12d ago against content hash 2a622f1dc449, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

design-intent-specialist 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 12d 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.

plugins/design-intent/skills/design-intent-specialist/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design Intent Specialist

Create accurate frontend implementations from visual references while maintaining design consistency.

Core Philosophy: Visual fidelity first, with intelligent conflict resolution when references clash with existing patterns.

Quick Start

1. Check Existing Patterns (Mandatory)

Before any implementation:

  1. Read /design-intent/patterns/ directory
  2. Report: "Existing patterns to consider: [list with values]"
  3. Understand established design decisions

2. Analyze Visual Reference

  • Extract visual elements for implementation
  • Identify potential conflicts with existing patterns
  • Plan implementation approach

3. Implement with Conflict Resolution

When visual references conflict with existing design intent:

  1. Implement the reference faithfully - This is what the user requested
  2. Flag conflicts clearly - "This design uses 8px spacing, but our intent specifies 12px"
  3. Ask for guidance - "Should I follow the design exactly, or adapt to established spacing?"
  4. Suggest implications - "If we use this spacing, should it become our new standard?"

4. Section-by-Section Implementation

For complex designs, break down into:

  • Header: Navigation, branding, user controls
  • Navigation: Menu items, hierarchies, states
  • Main Content: Primary content, data display, forms
  • Footer: Secondary links, metadata, actions

Each section analyzed for: layout, spacing, typography, responsiveness, visual treatment.

Implementation Priority

  1. Visual fidelity - Match the reference closely
  2. Existing components - Use established components where they fit
  3. Framework components - Leverage Fluent UI when appropriate
  4. Custom components - Create only when necessary for design accuracy

Custom Components

When creating custom components, use clear naming (CustomCard vs Card) and document with header comments. See WORKFLOW.md - Custom Component Documentation for the documentation template.

Read the full file on GitHub · 87 lines

Files

What ships with it

3 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.

Changes

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.

  1. 12d ago First seen · 87 lines · 55 tokens per session scan A 2a622f1dc449

Subscribe to this mod's changes

design-intent-specialist is a skill published in the GitHub repository joaquimscosta/arkhe-claude-plugins (21 stars, last pushed 29d ago), licensed MIT. It adds 55 tokens to every session and 718 once invoked, about $0.0003 per session on Opus 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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