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 alekspetrov/navigator --skill product-designgit clone --depth 1 https://github.com/alekspetrov/navigatorWrote 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/alekspetrov/navigator/product-design)<a href="https://agentmods.dev/skills/alekspetrov/navigator/product-design"><img src="https://agentmods.dev/badge/skills/alekspetrov/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.
<a href="https://agentmods.dev/skills/alekspetrov/navigator/product-design"><img src="https://agentmods.dev/badge/skills/alekspetrov/navigator/product-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00059 | $0.05032 |
| Opus 5.5 | $0.00024 | $0.02013 |
| Sonnet 5.5 | $0.00012 | $0.01006 |
| Haiku 4.5 | $0.00006 | $0.00503 |
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 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.
This is a copy
100% identical to product-design — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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:
- Design Analysis: Extract patterns, components, tokens from Figma
- Codebase Audit: Compare design vs implementation, find drift
- Implementation Planning: Generate phased task breakdown
- Task Assignment: Create Navigator task document
- Handoff: Ask user to review or start implementation
Time Savings: 6-10 hours → 15-20 minutes (95% reduction)
Prerequisites
Required
-
Python Dependencies
cd skills/product-design ./setup.sh # Automated installation # OR manually: pip install -r requirements.txt -
Figma Desktop (for automated workflow)
- Download: https://www.figma.com/downloads/
- Enable MCP: Figma → Preferences → Enable local MCP Server
- Must be running during design reviews
-
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
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.
- examples/dashboard-redesign-review.md 6.9 KB
- functions/check_mcp_connection.py 1.3 KB runs code
- functions/component_mapper.py 9.2 KB runs code
- functions/design_analyzer.py 13 KB runs code
- functions/design_system_auditor.py 12 KB runs code
- functions/figma_mcp_client.py 11 KB runs code
- functions/implementation_planner.py 11 KB runs code
- functions/token_extractor.py 12 KB runs code
- GETTING-STARTED.md 2.3 KB
- INSTALL.md 7.7 KB
- README.md 8.1 KB
- requirements.txt 289 B
- setup.sh 2.9 KB runs code
- templates/design-review-report.md 5.0 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 · 795 lines · 59 tokens per session scan A db28fc8abe9a
product-design is a skill published in the GitHub repository alekspetrov/navigator (232 stars, last pushed 1mo ago), 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. It is 100% identical to product-design, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
nav-loop
Run tasks until complete with structured completion signals. Auto-invoke when user says "run until done", "keep going until complete", "iterate until finished", "loop mode", "autonomous mode".
product-design
Automates design review, token extraction, component mapping, and implementation planning. Reduces design handoff from 6-10 hours to 5 minutes via direct Figma MCP integration. Auto-invoke when user mentions design review, Figma mockup, or design handoff.
social-media-post
Generate optimized social media posts for Threads, X (Twitter), and LinkedIn. Analyzes platform algorithms, applies best practices, and creates engaging content tailored to each platform. Local skill for Navigator marketing only.
nav-skill-creator
Analyze codebase patterns and create custom skills for repetitive workflows. Use when project needs automation or pattern enforcement. Auto-invoke when user says "create a skill for...", "automate this workflow", or "we keep doing X manually".
nav-workflow
Unified workflow orchestration for substantial tasks. Auto-detects complexity, defers to matching skills, or provides phase-based execution. Solves workflow conflicts between skills, loop mode, and CLAUDE.md.
visual-regression
Setup visual regression testing with Storybook stories, configuration, and CI/CD workflows. Supports Chromatic, Percy, BackstopJS. Auto-invoke when user says "set up visual regression", "add Chromatic tests", "add screenshot testing", or "set up Percy".