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product-design

product-design is a skill for Claude Code from qf-studio/navigator. It costs 59 tokens per session (5,032 once invoked), scanned A, original, MIT.

A workflow coordinator for substantial coding tasks. It decides whether to run a matching skill, execute a simple request directly, or guide a larger task through phases.

In plain words
What is it for?
Use it for planning, refactoring, and other multi-step work when no more specific skill applies, or when structured phases are needed without loop mode.
Why use it?
It prevents separate workflow systems from competing when a task involves several steps or multiple files. It also avoids adding process to trivial changes.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the TodoWrite tool.

Part of the navigator plugin — 33 skills, 6 agents shipped together

not rated 355repo +1 yesterday A scan 59 tokens original MIT

Good fit Use it for planning, refactoring, and other multi-step work when no more specific skill applies, or when structured phases are needed without loop mode.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qf-studio/navigator/product-design
View source ↗ qf-studio/navigator quantflow.studio
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 qf-studio/navigator --skill product-design
Clone the repo
git clone --depth 1 https://github.com/qf-studio/navigator

Made for: Claude Code.

Or install navigator, the plugin that ships this one along with the rest of its 33 skills, 6 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 product-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/qf-studio/navigator/product-design/github.svg)](https://agentmods.dev/skills/qf-studio/navigator/product-design)
Your own site
<a href="https://agentmods.dev/skills/qf-studio/navigator/product-design"><img src="https://agentmods.dev/badge/skills/qf-studio/navigator/product-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 product-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/qf-studio/navigator/product-design"><img src="https://agentmods.dev/badge/skills/qf-studio/navigator/product-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,032 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 $0.00059 $0.05032
Opus 5.5 $0.00024 $0.02013
Sonnet 5.5 $0.00012 $0.01006
Haiku 4.5 $0.00006 $0.00503

Measured 21d ago against content hash db28fc8abe9a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

product-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 21d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (functions/check_mcp_connection.py, functions/component_mapper.py, functions/design_analyzer.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/product-design/SKILL.md · 795 lines

How it starts

The opening of the file, as written. The whole thing — 795 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Design Skill

Automate design handoff from Figma to code with design system intelligence. Extract tokens, map components, detect drift, generate implementation plans.

When to Invoke

Auto-invoke when user says:

  • "Review this design"
  • "Analyze Figma mockup"
  • "Design handoff for [feature]"
  • "Check design system impact"
  • "Plan implementation for design"
  • "Extract tokens from Figma"
  • "What changed in the design?"

What This Does

5-Step Workflow:

  1. Design Analysis: Extract patterns, components, tokens from Figma
  2. Codebase Audit: Compare design vs implementation, find drift
  3. Implementation Planning: Generate phased task breakdown
  4. Task Assignment: Create Navigator task document
  5. Handoff: Ask user to review or start implementation

Time Savings: 6-10 hours → 15-20 minutes (95% reduction)

Prerequisites

Required

  1. Python Dependencies

    cd skills/product-design
./setup.sh  # Automated installation
# OR manually: pip install -r requirements.txt

  2. Figma Desktop (for automated workflow)

  3. Project Structure

    • .agent/design-system/ directory (created on first run)
    • Project with components (React/Vue/Svelte)

Optional (Enhanced Features)

  • Figma Enterprise: Code Connect for automatic component mapping
  • Tailwind CSS: Design token integration via @theme
  • Storybook: Component documentation and visual regression

Installation

Quick start:

cd skills/product-design
./setup.sh

See INSTALL.md for detailed installation guide and troubleshooting.

Workflow Protocol

Step 0: Check Setup (Auto-Run)

Before starting, verify Python dependencies installed:

# Get Navigator plugin path
PLUGIN_PATH=$(dirname "$(dirname "$(dirname "$PWD")")")

# Check if venv exists
if [ ! -d "$PLUGIN_PATH/skills/product-design/venv" ]; then
  echo "❌ product-design skill not set up"
  echo ""
  echo "Run setup (30 seconds):"
  echo "  cd $PLUGIN_PATH/skills/product-design && ./setup.sh"
  echo ""
  echo "Or use manual workflow (no Python needed)"
  exit 1
fi

Read the full file on GitHub · 795 lines

Files

What ships with it

14 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. 21d ago First seen · 795 lines · 59 tokens per session scan A db28fc8abe9a

Subscribe to this mod's changes

product-design is a skill published in the GitHub repository qf-studio/navigator (355 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 5,032 once invoked, about $0.0002 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 2026-09-25.

Claude CodePlanningai-assistantai-toolsanthropicclaudecontext-engineering
Related

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