figma-designer

Overview of figma-designer skill

What figma-designer does

The figma-designer skill turns a Figma file or design screenshot into implementation-oriented output: design analysis, visual specs, component details, and a PRD-style handoff developers can use. Its main value is not “describe this screen,” but “extract enough structure from the design that a product or engineering team can build it with fewer interpretation gaps.”

Who should use figma-designer

figma-designer is best for:

• product engineers turning approved UI into build tickets
• PMs or designers preparing implementation-ready specs
• AI agent users who want more reliable design handoff than a generic prompt
• teams already using Figma and comfortable exposing a file through Figma MCP

If you only need quick visual feedback or rough UI ideas, a normal prompt is usually enough. This skill is for higher-fidelity handoff.

Real job to be done

Most users install the figma-designer skill because they want to bridge the gap between a polished mockup and a buildable spec. The skill is designed to inspect file metadata, nodes, and components through Figma MCP, then produce structured output such as:

• layout and spacing specs
• typography and color tokens
• component hierarchy
• implementation notes
• PRD-style documentation

Key differentiators

Compared with ordinary “analyze this design” prompting, figma-designer is stronger when you need:

• direct use of Figma data instead of only screenshot interpretation
• more explicit design-token extraction
• implementation-facing output rather than general commentary
• a workflow that can chain into downstream planning skills such as prd-planner

Biggest adoption constraint

The main blocker is setup, not prompting. figma-designer install success depends on having the Figma MCP server available and authorized. Without MCP access and the required Figma tools, this skill loses much of its advantage and falls back toward generic visual analysis quality.

How to Use figma-designer skill

Install context before you start

This skill lives in zhaono1/agent-playbook under skills/figma-designer. The repository README shows a symlink-based install for Claude Code:

ln -s ~/agent-playbook/skills/figma-designer/SKILL.md ~/.claude/skills/figma-designer.md

If you use a different skill loader, adapt the path to your environment. The important part is that your agent can discover SKILL.md and invoke it when a Figma link or screenshot is provided.

Required dependencies for figma-designer install

Before expecting good output, verify these prerequisites:

• Figma MCP server is installed and reachable
• required MCP tools exist:
  • figma_get_file
  • figma_get_nodes
  • figma_get_components
• a valid FIGMA_ACCESS_TOKEN is set if your setup requires it

The repo guidance shows checking availability with:

mcp-list

And setting the token as:

export FIGMA_ACCESS_TOKEN="your_token_here"

What input figma-designer needs

The best inputs are:

• a Figma file URL
• a clear target frame, page, or flow
• optional screenshots for emphasis
• the platform you are building for, such as web, React Native, or SwiftUI
• the intended output format, such as PRD, implementation spec, or component inventory

A raw file link alone can work, but output quality improves a lot when you narrow the scope.

How to write a strong figma-designer prompt

A weak request is:

Analyze this Figma design: [URL]

A stronger figma-designer usage prompt is:

Use figma-designer on this Figma file: [URL]

Focus on the login flow frame only.
Output:
1. visual hierarchy
2. spacing, typography, and color tokens
3. reusable components
4. edge cases and interaction assumptions
5. implementation-ready PRD for React Native

Call out anything ambiguous or hidden in the design that engineering should confirm before building.

Why this works better:

• it limits the analysis target
• it requests structured output
• it names the build platform
• it asks for uncertainty handling instead of false precision

Best workflow for real projects

A practical figma-designer guide usually looks like this:

1. confirm MCP connectivity
2. provide the Figma URL
3. specify the exact frame, screen, or user flow
4. ask for tokens, components, and layout specs
5. request platform-specific implementation notes
6. review ambiguities
7. optionally hand the result to prd-planner for fuller planning

This is better than asking for “generate everything” on a large file, which often creates noisy output and misses the screens you actually care about.

Repository files to read first

If you want to inspect the source before adopting:

1. skills/figma-designer/SKILL.md — activation logic, prerequisites, workflow
2. skills/figma-designer/README.md — install details and basic examples
3. skills/figma-designer/references/example-output.md — fastest way to judge output style

That example output is especially useful because it shows the handoff level this skill is aiming for, including layout notes and platform-specific implementation hints.

When to use screenshots instead of a Figma URL

Use screenshots when:

• you do not have direct Figma access
• the file is restricted
• you only need analysis of a small visual area

But for figma-designer for UI Design, screenshots are second-best. You lose structured node access, component metadata, and better token extraction. If the design must be implemented accurately, prefer a live Figma file.

What output to ask for

The most useful output requests are explicit. Ask for combinations like:

• PRD plus visual specification
• design token inventory
• component breakdown and naming suggestions
• implementation notes by platform
• open questions for design review

This aligns with the repository’s example output, which mixes design interpretation with implementation-ready detail.

Platform-specific prompting tips

The reference output suggests adapting specs to platform conventions. Tell the skill your target:

• Web (React) if you need CSS-friendly spacing and layout language
• React Native if you need style objects and mobile constraints
• SwiftUI if you need native iOS mapping

Without platform context, the skill may generate useful but less directly usable specs.

Common usage mistakes

Teams get weaker results from the figma-designer skill when they:

• send a broad file and no target frame
• ask for code before asking for spec clarity
• assume hidden interactions are inferable from static designs
• skip platform context
• install the skill but never confirm MCP tools are actually available

What happens after figma-designer completes

The skill metadata indicates post-run hooks that may trigger:

• prd-planner with ask-first behavior when a PRD is generated
• self-improving-agent in the background
• session-logger automatically

That matters if you want a longer design-to-planning workflow rather than a one-off analysis.

figma-designer skill FAQ

Is figma-designer better than a normal prompt?

Usually yes, if you have real Figma access. The advantage comes from tool-based inspection of file structure and components, not just language quality. If you only provide screenshots, the gap versus a normal prompt narrows.

Is figma-designer beginner-friendly?

Moderately. Prompting is simple, but setup is not fully beginner-proof because MCP and access tokens can block you. If your environment already supports MCP tools, the skill is easy to try.

When should I not use figma-designer?

Skip figma-designer when:

• you want creative UI ideation rather than design extraction
• you do not have Figma access and screenshots are low quality
• you only need a quick summary, not implementation-grade detail
• the file is huge and you cannot narrow the target scope

Can figma-designer generate code?

It can support code-oriented handoff, and the reference material includes generated code examples. But the safer use case is spec generation first, then code generation second. Treat it as a design-to-spec tool before treating it as a code generator.

Does figma-designer work for full product files?

Yes, but that is not the ideal starting point. Large files with many pages and variants can produce diffuse analysis. For best figma-designer usage, specify a page, frame, or flow.

What is the minimum setup to test figma-designer?

At minimum you need:

• the skill available to your agent
• Figma MCP connectivity
• the required Figma MCP tools
• a valid design URL you can access

Without those, you can still approximate analysis from screenshots, but that is no longer the strongest version of the skill.

How to Improve figma-designer skill

Give narrower design scope

The fastest way to improve figma-designer output is to reduce ambiguity. Instead of “analyze this app design,” say:

• which frame
• which user journey
• which state matters most
• which platform you are implementing

Narrow scope produces better token extraction, cleaner component grouping, and fewer invented assumptions.

Ask for uncertainty, not false precision

Good design handoff includes what is unclear. Add instructions like:

If spacing, states, or interactions are ambiguous in the Figma file, list them as assumptions or design questions instead of guessing.

This improves trust and makes the output more usable in real implementation planning.

Request a fixed output structure

A stronger figma-designer guide for repeatable teams is to standardize sections such as:

• summary
• layout specs
• tokens
• components
• interactions
• engineering risks
• unanswered questions

Consistent structure makes it easier to compare runs and hand off to product or engineering.

Provide platform and implementation target

If your team builds React Native, say so up front. If you need a PRD for web frontend handoff, say that too. figma-designer improves when it can map visual decisions into the implementation vocabulary your team actually uses.

Compare output against the example reference

Read references/example-output.md before heavy adoption. It quickly answers:

• whether the handoff style matches your team
• how much implementation detail to expect
• whether you need to ask for more or less structure

This is one of the highest-signal repo files for adoption decisions.

Use an iterate-then-expand workflow

Do not ask for the whole app first. A better sequence is:

1. analyze one critical screen
2. refine prompt structure
3. verify token and component quality
4. expand to adjacent screens or flows

This catches issues in your figma-designer install or prompt style before you spend time on a large run.

Watch for common failure modes

The main quality failures are:

• wrong frame analyzed
• shallow output caused by screenshot-only input
• generic PRD language with too little visual specificity
• output that ignores your target platform
• overconfident assumptions about interactions not visible in the design

Most of these are fixed by better scoping and explicit prompting, not by reinstalling the skill.

Pair figma-designer with downstream planning

If the first output is good, the next improvement is process-level: use figma-designer to produce the design spec, then pass that into a planning skill or implementation workflow. The metadata’s prd-planner hook is a clue that this skill works best as the front end of a larger design-to-build chain, not as the final step.