recipe-front-design

recipe-front-design is a skill for Claude Code from shinpr/claude-code-workflows. It costs 22 tokens per session (2,420 once invoked), scanned A, original, MIT.

A guided process for designing a frontend change from evidence in the codebase through a user-interface specification and an approved design document. A user-interface specification describes what users see and how the interface behaves.

In plain words
What is it for?
Use it for medium or large frontend changes that need documented screen structure, user interactions, technical decisions, specialist investigation, and design approval.
Why use it?
It helps teams make design decisions based on the existing project and resolve important technical choices before coding starts.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents.

Part of the dev-workflows-frontend plugin — 9 skills shipped together

Good fit Use it for medium or large frontend changes that need documented screen structure, user interactions, technical decisions, specialist investigation, and design approval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shinpr/claude-code-workflows/recipe-front-design
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 shinpr/claude-code-workflows --skill recipe-front-design
Clone the repo
git clone --depth 1 https://github.com/shinpr/claude-code-workflows

Made for: Claude Code.

Or install dev-workflows-frontend, the plugin that ships this one along with the rest of its 9 skills.

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 recipe-front-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/shinpr/claude-code-workflows/recipe-front-design/github.svg)](https://agentmods.dev/skills/shinpr/claude-code-workflows/recipe-front-design)
Your own site
<a href="https://agentmods.dev/skills/shinpr/claude-code-workflows/recipe-front-design"><img src="https://agentmods.dev/badge/skills/shinpr/claude-code-workflows/recipe-front-design/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 recipe-front-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/shinpr/claude-code-workflows/recipe-front-design"><img src="https://agentmods.dev/badge/skills/shinpr/claude-code-workflows/recipe-front-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,420 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00022 $0.02420
Opus 5.5 $0.00009 $0.00968
Sonnet 5.5 $0.00004 $0.00484
Haiku 4.5 $0.00002 $0.00242

Measured today against content hash ec59fa2bdfff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

recipe-front-design 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 today.

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.

dev-workflows-frontend/skills/recipe-front-design/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Explicit User Instruction: The user explicitly instructs and authorizes every subagent call named in this recipe. Execute each applicable call when its prerequisites are met.

Execute Skill: documentation-criteria before document routing or creation. Execute Skill: llm-friendly-context before writing Agent prompts, handoffs, or generated artifacts. Execute Skill: subagents-orchestration-guide before invoking agents or resolving findings. Before the first finding disposition, read references/review-resolution.md from the loaded subagents-orchestration-guide skill.

Outcome and Ownership

Coordinate a Medium/Large frontend design from evidence to an applicable UI Spec and approved Design Doc. The user owns product requirements and exclusions; the orchestrator owns convergence readiness, Structural Scale, document routing, ADR qualification, evidence selection, and Review Resolution. Named specialists own semantic investigation and artifacts.

The frontend Design Doc always carries the complete implementation design. An ADR batch narrows qualifying technical choices; an applicable UI Spec owns UI structure and behavior that remain to be designed.

Requirements: $ARGUMENTS

Flow

requirement source -> codebase-analyzer -> scope/document routing confirmation [Stop]
                                               |
                             conditional UI analysis -> UI Spec review [Stop]
                                               |
                                   optional ADR batch/review [Stop]
                                               |
              Design Doc -> code-verifier/Resolution -> document-reviewer
                                               |
                               design-sync -> approval [Stop]

Use Review Resolution for every actionable finding. Wait at each [Stop] for explicit user confirmation.

At each Agent invocation below, build the prompt as a mechanical extraction: copy the named source values into the exact fields, apply only the declared serialization, then invoke immediately.

Read the full file on GitHub · 162 lines

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. today Changed · +2 lines ec59fa2bdfff
  2. 1mo ago Changed 5fb1935bf4f3
  3. 1mo ago Changed 9e12b9f7189a
  4. 1mo ago Changed 46e5db3cc8d3
  5. 1mo ago Changed · +1 lines a5c2e927179a
  6. 1mo ago First seen · 159 lines · 22 tokens per session scan A 9cfe7c259fbd

Subscribe to this mod's changes

recipe-front-design is a skill published in the GitHub repository shinpr/claude-code-workflows (703 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 2,420 once invoked, about $0.0001 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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