Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add richardplg2/figma-annotations --skill talk-to-figma-designgit clone --depth 1 https://github.com/richardplg2/figma-annotationsWrote 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/richardplg2/figma-annotations/talk-to-figma-design)<a href="https://agentmods.dev/skills/richardplg2/figma-annotations/talk-to-figma-design"><img src="https://agentmods.dev/badge/skills/richardplg2/figma-annotations/talk-to-figma-design/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/richardplg2/figma-annotations/talk-to-figma-design"><img src="https://agentmods.dev/badge/skills/richardplg2/figma-annotations/talk-to-figma-design.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 | $0.00028 | $0.01586 |
| Opus 5.5 | $0.00011 | $0.00634 |
| Sonnet 5.5 | $0.00006 | $0.00317 |
| Haiku 4.5 | $0.00003 | $0.00159 |
Grade A, and why
talk-to-figma-design 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
talk-to-figma-design
Collect Figma design requirements, enrich them with live Figma data and codebase analysis, then hand off to the brainstorming pipeline for implementation planning.
Trigger
User invokes /talk-to-figma-design after pasting a markdown prompt exported from the figma-annotations VS Code extension.
Arguments (all optional):
--channel <id>— override channel ID from prompt--collection "<name>"— process only the named collection's items<topic>— free text topic name for the spec file (default: derived from first frame name)
Prerequisites
- cursor-talk-to-figma MCP server running (
bun socketon port 3055) - Figma plugin active in the Figma file
- GitNexus index available in the current project (optional — skipped gracefully if missing)
Workflow
Follow these steps in order. Do NOT skip steps. Do NOT implement any code — this skill only collects, enriches, and generates a spec.
Step 1: Parse Prompt
- Scan the conversation for the
<!-- talk-to-figma-design -->marker - If no marker found, tell the user: "No Figma design prompt found. Export collections from the figma-annotations VS Code extension first using 'Export Collections as Prompt'."
- Extract from the prompt:
- Channel ID from the
## Connectionsection - Design frames with their nodeIds, names, types, dimensions, notes, and collection names
- Code references with file paths, line ranges, language, code, notes, and collection names
- Channel ID from the
- If
--channelargument provided, use it instead of the prompt's channel ID - If
--collectionargument provided, filter to only items from that collection
Step 2: Enrich from Figma MCP
Use the cursor-talk-to-figma MCP tools to gather detailed design data.
- Connect: Call
join_channelwith the resolved channel ID - For each design frame nodeId:
- Call
get_node_info(nodeId)— capture children hierarchy, layout properties, auto-layout settings - Call
scan_text_nodes(nodeId)— capture all text content within the frame
- Call
- Global design data:
- Call
get_styles()— capture color tokens, typography, effects - Call
get_local_components()— capture available component library
- Call
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 · 164 lines · 28 tokens per session scan A 55eedbd11a21
talk-to-figma-design is a skill published in the GitHub repository richardplg2/figma-annotations (11 stars, last pushed 7mo ago), licensed MIT. It adds 28 tokens to every session and 1,586 once invoked, about $0.0001 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 2026-08-30.
talk-to-figma-design compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| talk-to-figma-designrichardplg2/figma-annotations | Skill | 11 | 7mo ago | MIT | A | 28 | Claude Code, Codex |
| figma-codegenawdr74100/figwright | Skill | 1.3k | yesterday | MIT | A | 145 | Claude Code, Codex |
| figma-buildawdr74100/figwright | Skill | 1.3k | yesterday | MIT | A | 180 | Claude Code, Codex |
| mk:figmangocsangyem/MeowKit | Skill | 15 | 6d ago | MIT | A | 99 | Claude Code |
| build-from-figmaPMDevSolutions/Aurelius | Skill | 9 | yesterday | MIT | A | 0 | Claude Code |
| screenshot-intakePMDevSolutions/Aurelius | Skill | 9 | yesterday | MIT | A | 0 | Claude Code |
| visual-qa-verificationPMDevSolutions/Aurelius | Skill | 9 | yesterday | MIT | A | 81 | Claude Code |