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 agentmods add skills/atezer/fmcp/implement-designnpx skills add atezer/FMCP --skill implement-designgit clone --depth 1 https://github.com/atezer/FMCPWhat 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 | $0.00108 | $0.05547 |
| Opus 5 | $0.00054 | $0.02773 |
| Sonnet 5 | $0.00022 | $0.01109 |
| Haiku 4.5 | $0.00011 | $0.00555 |
Grade A, and why
implement-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 2d 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 — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement Design (Multi-Platform)
Design Token Kuralı: Bu skill'deki kod örneklerinde geçen font adları, renk kodları, piksel boyutları yalnızca FORMAT gösterimidir. Çalışma anında tüm design token değerleri (font, renk, boyut, spacing, radius, gölge) kayıtlı kütüphaneden (
figma_get_variables,figma_get_styles) veya kullanıcıdan okunmalıdır. Hardcoded token değeri kullanma. Detay:project-context.md→ "Design Token Kuralı".
Overview
Bu skill, Figma tasarımlarını iOS, Android ve Web platformlarına pixel-perfect doğrulukla koda dönüştürür. Aynı Figma design system'i 3 farklı platformda implement eden ekipler için tasarlanmıştır.
Önemli: Tüm veriler plugin bridge (WebSocket) üzerinden alınır. MCP araçları platform-agnostik tasarım verisi sağlar; platform-spesifik kod dönüşümü (SwiftUI, Compose, CSS vb.) AI agent tarafından yapılır.
Desteklenen platformlar ve çıktı formatları:
| Platform | Modern | Legacy |
|---|---|---|
| iOS | SwiftUI | UIKit (Storyboard/XIB, programmatic) |
| Android | Jetpack Compose | XML Layout + View system |
| Web | React + Tailwind/CSS Modules | jQuery, vanilla JS, Handlebars, legacy CSS |
REST API veya Figma access token gerekmez; tüm veriler plugin bridge üzerinden alınır.
Prerequisites
- F-MCP Bridge plugin Figma'da çalışıyor ve bağlı olmalı
- Hedef platform belirlenmiş olmalı (iOS / Android / Web)
- Projenin platform-spesifik konvansiyonları bilinmeli
F-MCP skill koordinasyonu
- Önce: code-design-mapper ve design-token-pipeline çıktıları varsa kullan; isteğe bağlı ai-handoff-export; tuvalde ham primitive’ler varsa audit-figma-design-system → apply-figma-design-system (veya tek bulgu için fix-figma-design-system-finding).
- Sonra (tipik): Kod üretildikten veya güncellendikten sonra design-drift-detector ile parity. Drift bulgusu Figma kaynaklıysa fix-figma-design-system-finding veya apply-figma-design-system; kod kaynaklıysa kodu düzeltip drift’i yeniden çalıştır.
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.
- 2d ago First seen · 506 lines · 108 tokens per session scan A 3f7dc864557d
implement-design is a skill published in the GitHub repository atezer/FMCP (9 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 5,547 once invoked, about $0.0005 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 2026-08-31.
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