Borrowing it
Nothing to install: this file belongs to P2ERGmbH/agentic-coding. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/P2ERGmbH/agentic-coding/main/.agents/skills/figma-implement/SKILL.mdgit clone --depth 1 https://github.com/P2ERGmbH/agentic-codingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/p2ergmbh/agentic-coding/figma-implement)<a href="https://agentmods.dev/skills/p2ergmbh/agentic-coding/figma-implement"><img src="https://agentmods.dev/badge/skills/p2ergmbh/agentic-coding/figma-implement/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/p2ergmbh/agentic-coding/figma-implement"><img src="https://agentmods.dev/badge/skills/p2ergmbh/agentic-coding/figma-implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.04746 |
| Opus 5.5 | $0.00016 | $0.01898 |
| Sonnet 5.5 | $0.00008 | $0.00949 |
| Haiku 4.5 | $0.00004 | $0.00475 |
Grade A, and why
figma-implement 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.
How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figma Layout Implementation Workflow
This skill guides you through implementing precise Figma designs by parsing Figma design tokens (JSON + CSS) into Tailwind utility classes, building a component-to-layer map, and verifying via Storybook and live page testing.
Trigger
Use this skill when the user asks to "implement a Figma design", "convert Figma to Tailwind", "use the reusable figma implementation solution", or "build a component from a Figma frame".
Phase 1: Requirements Gathering
Before any download or implementation work, gather the following using ask_user_question:
1.1 Figma Source
Ask the user for:
- Figma URL or file key + node ID — the exact frame/layer to implement.
- Component name — the kebab-case name for the React component (e.g.,
product-card).
1.2 Search for Existing Matching Components
After receiving the component name, search the codebase for existing components that might correspond:
- Search for files/components matching the name (glob for
**/[ComponentName]*.tsx) - Search for existing Figma references in
.stories.tsxfiles that reference a similar URL/node - Search for existing
@figma-layerannotations that mention the layer name
If matches are found, you MUST explicitly present the exact matching component files that were found to the user in the chat interface. Propose updating the existing component rather than creating a new one.
1.3 Implementation Mode
When an existing component is found, you MUST explicitly ask the user if they want a pixel-perfect design or an incremental layout improvement (e.g., "Do you want a pixel-perfect match or an incremental layout improvement?"). Do not make this decision without seeking their explicit choice.
| Mode | Description |
|---|---|
| New component | The component doesn't exist yet — create from scratch. |
| Improve existing layout | The component exists; adjust spacing, colors, typography to better match the design while keeping the current structure. |
| Pixel-perfect replacement | The component exists but should be rewritten entirely to match the Figma frame exactly, discarding the current layout in favor of the figma design. |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 294 lines · 41 tokens per session scan A 4f5c96795eda
figma-implement is a skill published in the GitHub repository P2ERGmbH/agentic-coding (9 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 4,746 once invoked, about $0.0002 per session on Opus 5.5. 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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