figma-use

Enforce preloading rules and atomic use_figma calls for the Figma Plugin API.

Updated Dec 17, 2024
One-click install
npx skills add https://github.com/LAF-US/IDAHO-VAULT --skill figma-use-laf-us
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: figma-use
Source: https://github.com/LAF-US/IDAHO-VAULT/tree/main/.codex/plugins/cache/openai-curated/figma/314574a046f21938025ae443f9c6dbbd0c2c9b7a/skills/figma-use
Command: npx skills add https://github.com/LAF-US/IDAHO-VAULT --skill figma-use-laf-us

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It enforces a safe, structured approach to using Figma's Plugin API by requiring preloaded context, formal frontmatter, and atomic use_figma calls, reducing debugging time and cruft.

Core Features & Use Cases

  • Atomic, rule-driven use_figma calls to ensure predictable results.
  • Frontmatter-driven discovery: name/description metadata used for skill discovery and activation.
  • Reference docs in references/ for API patterns and best practices.
  • Incremental workflow: inspect, create, validate, and iterate with get_metadata/get_screenshot and safe error recovery patterns.
  • Supports multi-step workflows like variable tokens, components, and design-system patterns.

Quick Start

Load this skill's context and then perform small, verifiable use_figma calls, returning created or mutated node IDs.

Frequently Asked Questions about figma-use

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Figma Plugin API workflows without causing unexpected document corruption?

Safe Figma Plugin API automation requires preloading context and executing atomic use_figma calls. This skill enforces strict frontmatter metadata and stepwise validation, ensuring predictable results and reducing debugging time when adjusting nodes.

What is the best way to build design-system components in Figma incrementally?

Building design-system components incrementally involves making atomic use_figma calls to create or mutate nodes, then validating each step with get_metadata and get_screenshot. This guided reference approach ensures safe iteration for variable tokens and components.

Do I need frontmatter metadata to use the Figma Plugin API for design automation?

Yes, formal frontmatter metadata is required for Figma Plugin API automation. It drives skill discovery and activation while ensuring preloading rules and strict return-structure requirements are satisfied for downstream workflow steps.

How does preloading context affect Figma variable token workflows?

Preloading context in Figma variable token workflows establishes baseline document state before mutations occur. It ensures atomic API calls interact with validated page-context switching rules, preventing cruft and enabling safe error recovery during multi-step iterations.

Why are my Figma Plugin API calls returning unstructured or unpredictable results?

Figma Plugin API calls return unstructured results when atomic execution and strict return-structure requirements are not enforced. Using rule-driven use_figma calls exposes structured return objects containing created or mutated node IDs for downstream validation.

Can I batch multiple node mutations in a single Figma Plugin API call?

Batching multiple node mutations bypasses incremental validation safeguards. Performing small, verifiable atomic use_figma calls instead allows guided error recovery and ensures structured return objects for each mutated node before proceeding to the next operation.