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Figma Handoff Gate

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thiagoxikota
figma-handoff-gate

Audit a Figma handoff for action/state completeness, readable annotations, recipient use and valid proof. Read-only review and already authorized correction remain distinct; no fixed review-role ritual.

Overview

Publisherthiagoxikota
Repositoryfigma-maxxing
Skill namefigma-handoff-gate
Stars
11
Forks
1
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by thiagoxikota on GitHub. Read the source before you install it.

Installation

Install the Figma Handoff Gate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/thiagoxikota/figma-maxxing/tree/main/skills/figma-handoff-gate
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/thiagoxikota/figma-maxxing.git /tmp/figma-maxxing
mkdir -p .claude/skills
cp -r /tmp/figma-maxxing/skills/figma-handoff-gate .claude/skills/figma-handoff-gate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Handoff Gate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Figma Handoff Gate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Figma Handoff Gate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Figma handoff readiness

Audit the affected handoff against concrete developer/recipient needs. This is read-only unless correction is already authorized. Apply that authorization within scope without asking again per finding; a new product/DS decision or external send needs its own authorization.

Use the project’s handoff/locale/sample-data rules first. Technical criteria are in handoff-checks.md: spacing and label clearance, caption sizing/contrast/density, honest screen counts, component states, localization, typographic conventions, state/actor/inverse-action completeness, process-free delivered canvas and proof at the scale of use. Load the sections needed for the handoff; a full release audit covers all applicable criteria.

A screen’s actions need designed outcomes: destinations, help/info, inverse pairs, affected actor, destructive confirmation and after-state. Explicitly partial/out-of-scope work is reported as such, never declared a complete flow. Prototype reachability and starting point must support a “clickable” claim. Overview captures do not prove a tiny icon or text detail.

Craft/precision evidence from figma-slop-check can be reused; no mandatory separate pass, four-role stamp, fixed order or external reviewer is needed for every change. Inspect the actual artifact and recipient path, not a written simulation of what a model thinks might happen. Refresh checks invalidated by a later edit, rather than restarting unrelated gates.

Report blockers separately from nonblocking warnings, with target and evidence. A warning alone does not invent a release block; a missing required outcome or unverified critical state cannot be disguised as PASS. Reviewer output does not authorize edits/replies. Approved fixes use preflight/lock, property read-back and appropriate visual proof. Keep process logs/review packages private, not on the delivered canvas; runtime memory is separately governed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Figma Handoff Gate AI skill do?

Audit a Figma handoff for action/state completeness, readable annotations, recipient use and valid proof. Read-only review and already authorized correction remain distinct; no fixed review-role ritual.

Why use Figma Handoff Gate on TypingMind?

Because you install it once and use it with any model. Figma Handoff Gate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Figma Handoff Gate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thiagoxikota/figma-maxxing/tree/main/skills/figma-handoff-gate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Figma Handoff Gate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Figma Handoff Gate?

As many as you like. As long as a model supports skills, you can use Figma Handoff Gate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Figma Handoff Gate AI skill free?

Yes. It is published on GitHub by thiagoxikota under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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