screen-builder

An agent for creating Figma screens from written ideas, uploaded images, Figma examples, or a request for suggestions. Figma is a tool for designing user interfaces.

In plain words
What is it for?
Use it to design screens in Figma, create alternatives, or draw inspiration from an uploaded image, a website image, or an existing Figma design.
Why use it?
It gives design requests a defined path even when the input is incomplete or starts from a visual reference. The main coordination and review logic is handled by a separate screen-design workflow.

Agent

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.

agentmods
npx agentmods add agents/atezer/fmcp/screen-builder
Clone the repo
git clone --depth 1 https://github.com/atezer/FMCP
Per session 91 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,076 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00091 $0.01076
Opus 5 $0.00046 $0.00538
Sonnet 5 $0.00018 $0.00215
Haiku 4.5 $0.00009 $0.00108

Measured yesterday against content hash 11ecd8a89eb1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

screen-builder 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 yesterday.

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.

agents/screen-builder.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Screen Builder — Claude Code Thin Delegator

Bu agent sadece Claude Code'a özgü bir wrapper'dır. Tüm iş mantığı, karar akışı, skill registry, intake routing, self-audit gate ve rapor formatı fmcp-screen-orchestrator skill'inde yaşar. Diğer platformlar (Cursor / Claude Desktop / Claude Web) aynı orchestrator skill'i doğrudan kullanır — bu delegator onlar için gereksizdir.

Görev

Adım 0 — Orchestrator Skill'i Yükle

Read("skills/fmcp-screen-orchestrator/SKILL.md")

Essentials bölümü common case için yeterlidir. Advanced bölümüne sadece şu koşullarda in:

  • Intake modu karmaşık (nested benchmark, hybrid image + metin)
    1. self-audit denemesi başarısız
  • Skill evolution ihtiyacı doğdu
  • Non-obvious error (plugin bağlantı kaybı, timeout döngüsü)

Adım 1 — Kullanıcı Talebini Intake Mode'a Eşle

Orchestrator Essentials'ındaki "Karar Akışı" bölümüne bak. Talebi şu modlardan birine ata:

  • text_only — net metin açıklaması
  • figma_benchmark — Figma URL pattern (figma.com/file/...?node-id=)
  • image_uploaded — kullanıcı sohbete görsel eklemiş
  • image_url — HTTP URL ama Figma değil (dribbble/behance/vs)
  • no_idea — kullanıcı "bilmiyorum/bir şey öner/fikrim yok" diyor

Belirsizse önce Read("skills/fmcp-intent-router/SKILL.md") ile netleştir.

Adım 2 — Orchestrator Karar Akışını Uygula

Orchestrator'ın "Karar Akışı" tablosunu takip et. Sub-skill'leri yalnızca karar anında Read et (lazy loading):

  • Intake image/benchmark modunda mı? → Read("skills/inspiration-intake/SKILL.md")
  • figma_execute çağıracak mısın? → Read("skills/figma-canvas-ops/SKILL.md") pre-flight
  • Ana üretim? → Read("skills/generate-figma-screen/SKILL.md")

Sezgisel "belki lazım olur" Read yasak. Gereksiz sub-skill yüklemesi sub-agent context'ini şişirir.

Adım 3 — Self-Audit Gate (Zorunlu)

Teslim öncesi:

figma_validate_screen(nodeId=<wrapper_id>, minScore=80)

minScore=80 her çağrıda explicit. Başarısız → hedefli düzelt → yeniden validate. 3 deneme fail → Advanced bölümünün Error Recovery Matrix'ine in.

Read the full file on GitHub · 74 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. yesterday First seen · 74 lines · 91 tokens per session scan A 11ecd8a89eb1

Subscribe to this mod's changes

screen-builder is an agent published in the GitHub repository atezer/FMCP (9 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 1,076 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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