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figma-agent-mcp: Instructions file for Gemini CLI

GEMINI.md

figma-agent-mcp GEMINI.md is an instructions file for Gemini CLI from TrungLee003/figma-agent-mcp. It costs 641 tokens per session, scanned A, a copy of figma-agent-mcp AGENTS.md, MIT.

A set of instructions for AI coding agents working with Figma, a collaborative design tool. It explains how to use Figma tools and apply layout and design rules.

In plain words
What is it for?
Creating and editing Figma designs, including frames, auto-layout structures, styles, and text.
Why use it?
It gives agents clear rules for making Figma changes consistently and with fewer unnecessary tool calls.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Claude Code; mentions Gemini CLI.

This is TrungLee003/figma-agent-mcp's own configuration. It tells Gemini CLI how to work on figma-agent-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything figma-agent-mcp configures →

not rated 1repo 2mo ago A scan 641 tokens copy · 95% MIT
View source ↗ TrungLee003/figma-agent-mcp
Reuse

Borrowing it

Nothing to install: this file belongs to TrungLee003/figma-agent-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/TrungLee003/figma-agent-mcp/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/TrungLee003/figma-agent-mcp

Made for: Gemini CLI.

Wrote this? Show the measurements

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README.md
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Per session 641 This file is loaded in full into every session.
When invoked 641 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 95% copy Near-identical to another mod 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 $0.00641 $0.00641
Opus 5.5 $0.00256 $0.00256
Sonnet 5.5 $0.00128 $0.00128
Haiku 4.5 $0.00064 $0.00064

Measured 2mo ago against content hash 24760d77790e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

figma-agent-mcp GEMINI.md 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 2mo 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.

Origin

This is a copy

95% identical to figma-agent-mcp AGENTS.md — 2 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.

GEMINI.md · 34 lines

How it starts

The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEMINI.md — Figma Agent MCP Guidelines

This file provides rules and best practices for AI coding agents (Antigravity, Claude Code, Cursor, Copilot) when performing Figma design tasks.

🚀 Instant Single-Turn Execution (No Exploratory Latency)

  1. NEVER search the filesystem for tool schemas:

    • All 50 Figma MCP tools (figma.batch_execute, figma.create_frame, figma.run_skill, figma.resolve_design_system, etc.) are natively available.
    • Do NOT run grep, find_by_name, or bash scripts looking for .ts schemas.

  2. ALWAYS use figma.batch_execute for multi-node designs:

    • Never make 20-30 sequential tool calls.
    • Package all creation, auto-layout, styling, and text commands into 1 single atomic batch transaction using symbolic references (ref, parentRef, nodeRef, $ref:name).

  3. ALWAYS enforce Auto Layout & Design Standards:

    • Never use manual coordinates ($x, y$) for child elements.
    • Use mode: "VERTICAL" or "HORIZONTAL", padding (16, 24), itemSpacing (8, 12, 16, 20, 24).
    • Use layoutSizingHorizontal: "FILL" and layoutSizingVertical: "HUG" for responsive nesting.
    • Modern palettes: #FFFFFF on #F8FAFC (subtle border 1px SOLID #E2E8F0) or #1E293B on #0F172A (border #334155), primary accent #6366F1 (Indigo).

🧩 Figma Agent Skills Catalog

The 9 Agent Workflow Skills are located in skills/, .agents/skills/, and .gemini/skills/:

  1. inspect-design (skill.inspect_design): Deep inspect hierarchy, compact DSL, and WCAG contrast.
  2. create-screen (skill.create_screen): Construct responsive full-screen frames (mobile, tablet, desktop, modal).
  3. edit-selection (skill.edit_selection): Batch update styling, padding, gap, radius on active selection.
  4. create-component (skill.create_component): Convert frame to reusable Master Component.
  5. apply-design-system (skill.apply_design_system): Scan raw elements and bind Color Variables & Spacing Tokens.
  6. validate-design (skill.validate_design): Design QA scoring (0-100), WCAG AA/AAA, Auto Layout compliance.
  7. create-design-system (skill.create_design_system): Generate turnkey Color Tokens, Paint Styles, and Button Component.
  8. auto-fix-accessibility (skill.auto_fix_accessibility): Automatically repair text colors violating WCAG contrast.
  9. convert-wireframe-to-hifi (skill.convert_wireframe_to_hifi): Upgrade wireframe boxes to modern polished UI Cards.

Read the full file on GitHub · 34 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. 2mo ago First seen · 34 lines · 641 tokens per session scan A 24760d77790e

Subscribe to this mod's changes

figma-agent-mcp GEMINI.md is an instructions file published in the GitHub repository TrungLee003/figma-agent-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 641 tokens to every session, about $0.0026 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to figma-agent-mcp AGENTS.md, differing in 2 lines, and is treated as a copy.

Design and UX
Related

figma-agent-mcp GEMINI.md compared with instructions from other repositories

figma-agent-mcp GEMINI.md next to 6 instructions from other repositories
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figma-agent-mcp GEMINI.mdTrungLee003/figma-agent-mcpInstructions file12mo agoMITA641Gemini CLI
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vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode