Agent skill

Figma From Code Discovery Assets

by bitovi in bitovi/ai-enablement-prompts

Subagent for figma-from-code Phase 0b. An agent skill from bitovi/ai-enablement-prompts.

MITAuto-check passedSecurity

Install Figma From Code Discovery Assets

skills CLI

$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-discovery-assets -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install bitovi/ai-enablement-prompts figma-from-code-discovery-assets --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets .claude/skills/figma-from-code-discovery-assets && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "figma-from-code-discovery-assets" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets into .claude/skills/figma-from-code-discovery-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-discovery-assets", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-discovery-assets -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install bitovi/ai-enablement-prompts figma-from-code-discovery-assets --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets .agents/skills/figma-from-code-discovery-assets && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "figma-from-code-discovery-assets" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets into .agents/skills/figma-from-code-discovery-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-discovery-assets", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-discovery-assets -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install bitovi/ai-enablement-prompts figma-from-code-discovery-assets --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets .cursor/skills/figma-from-code-discovery-assets && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "figma-from-code-discovery-assets" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets into .cursor/skills/figma-from-code-discovery-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-discovery-assets", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/bitovi/ai-enablement-prompts.git --path plugins/figma-from-code/skills/figma-from-code/2-discovery-assets

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-discovery-assets -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install bitovi/ai-enablement-prompts figma-from-code-discovery-assets --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets .gemini/skills/figma-from-code-discovery-assets && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "figma-from-code-discovery-assets" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets into .gemini/skills/figma-from-code-discovery-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-discovery-assets", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install bitovi/ai-enablement-prompts figma-from-code-discovery-assets

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-discovery-assets -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets .github/skills/figma-from-code-discovery-assets && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "figma-from-code-discovery-assets" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets into .github/skills/figma-from-code-discovery-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-discovery-assets", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-discovery-assets -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install bitovi/ai-enablement-prompts figma-from-code-discovery-assets --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/bitovi/ai-enablement-prompts.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets .opencode/skills/figma-from-code-discovery-assets && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "figma-from-code-discovery-assets" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/2-discovery-assets into .opencode/skills/figma-from-code-discovery-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-discovery-assets", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: figma-from-code-discovery-assets
GitHub stars: 121
Token cost: ~1.4k tokens
SKILL.md length: 404 words
Files: 2
Skills in repo: 40
Repo updated: Sep 11, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Subagent for figma-from-code Phase 0b. An agent skill from bitovi/ai-enablement-prompts.

Works in 5 steps: Ensure output directory exists → Run the icon extraction script → Read and summarize the output → …
Tasks that involve Static analysis and SAST
SKILL.md covers When to Use, Prerequisites, Required Inputs and Output Files, plus 4 more sections
Calls node

What it does

Figma From Code Discovery Assets is an agent skill from bitovi/ai-enablement-prompts. Subagent for figma-from-code Phase 0b. Discovers all Lucide icons and SVG file assets imported across the codebase via static analysis. Extracts SVG markup and maps which components use which icons. No dev server or Figma access needed.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Security, covering Static analysis and SAST and Subagents. It works with Figma and React. The repository describes itself as: Prompts Bitovi uses for software development. The licence is MIT.

When your agent uses it

Tasks that involve Static analysis and SAST
Tasks that involve Subagents

Example prompts

“/figma-from-code-discovery-assets”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Ensure output directory exists
Run the icon extraction script
Read and summarize the output
Write icons summary for the orchestrator
Report

What it can do on your machine

Read from SKILL.md and the folder at commit df229b1. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- node
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Figma From Code Discovery Assets loads about 1.4k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 404 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~67
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from bitovi/ai-enablement-prompts at commit df229b1, republished under its MIT licence (© bitovi). 404 words, ~1,435 tokens.

Download SKILL.mdSave it as .claude/skills/figma-from-code-discovery-assets/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: figma-from-code-discovery-assets
description: Subagent for figma-from-code Phase 0b. Discovers all Lucide icons and SVG file assets imported across the codebase via static analysis. Extracts SVG markup and maps which components use which icons. No dev server or Figma access needed.
model: claude-sonnet-4-5

Skill: Icon & Asset Discovery

Discovers all Lucide icons and SVG file assets imported across the codebase, extracts their SVG markup, and maps which components use which icons. This is pure static analysis — no dev server or Figma access needed.

When to Use

Before figma-from-code Phase 3 (icon preamble builds Figma icon components from this data)
Standalone audit of icon and asset usage across the codebase
When resuming a build and icons.json is missing

Prerequisites

Source directory exists at {sourceDir} (the directory containing the project's component source files)
node_modules/lucide-react installed (for resolving icon SVG data; only required when config.iconLibrary is lucide-react)

Placeholders like {sourceDir} resolve from state.json → config. When config.iconLibrary is null or the lucide-react package is absent, icon extraction is skipped and an empty icons array is written to icons.json — the phase still completes and records totalIcons: 0 in the summary.

Required Inputs

Input	Description
`sourceDir`	Path to the source directory to scan (from `state.json → config.sourceDir`)

Output Files

Written to .temp/figma-from-code/:

File	Contents
`icons.json`	Icon/asset manifest with SVG strings and per-component mapping

`icons.json` structure

json

{
  "icons": [
    {
      "name": "Check",
      "elements": [["path", { "d": "M20 6 9 17l-5-5" }]],
      "svgString": "<svg ...>...</svg>",
      "usedBy": ["Button", "Checkbox"]
    }
  ],
  "assets": [
    {
      "name": "AppLogoSvg",
      "importPath": "@/assets/logo.svg",
      "sourcePath": "{sourceDir}/assets/logo.svg",
      "svgString": "...",
      "usedBy": ["Header"]
    }
  ],
  "iconsByComponent": {
    "Button": ["Check", "X"],
    "Header": ["AppLogoSvg"]
  },
  "summary": {
    "totalIcons": 21,
    "totalAssets": 1,
    "componentsWithIcons": 22
  }
}

Workflow

1. Ensure output directory exists

bash

mkdir -p .temp/figma-from-code/

2. Run the icon extraction script

bash

node {skillRoot}/scripts/extract-icons.js \
  --scan {sourceDir} \
  --output .temp/figma-from-code/icons.json

The script:

Recursively finds all .tsx? files (excludes node_modules, test files)
Parses static imports from lucide-react
Resolves each icon's SVG from node_modules/lucide-react/dist/esm/icons/
Finds and extracts SVG file imports (e.g., import Logo from '@/assets/logo.svg')
Maps which components use which icons/assets

Show full SKILL.md (179 more words)Show less

3. Read and summarize the output

Read .temp/figma-from-code/icons.json and extract:

summary.totalIcons — number of Lucide icons found
summary.totalAssets — number of SVG file assets found
summary.componentsWithIcons — how many components use icons
icons[].name — list of icon names
assets[].name — list of asset names

4. Write icons summary for the orchestrator

Extract the data the orchestrator needs into a small summary file so it never has to read the full icons.json (which contains SVG strings):

bash

node -e "
  const data = JSON.parse(require('fs').readFileSync('.temp/figma-from-code/icons.json','utf-8'));
  const summary = {
    iconCount: data.summary.totalIcons,
    icons: data.icons.map(i => i.name),
    assetCount: data.summary.totalAssets,
    assets: data.assets.map(a => a.name)
  };
  require('fs').writeFileSync('.temp/figma-from-code/icons-summary.json', JSON.stringify(summary, null, 2));
"

Write to .temp/figma-from-code/icons-summary.json. The orchestrator reads only this file (~500 bytes) instead of the full icons.json.

5. Report

Icon & Asset Discovery complete:
- {totalIcons} Lucide icons discovered
- {totalAssets} SVG assets found
- Icons used across {componentsWithIcons} components

Scripts Reference

Script	Location	Purpose
`extract-icons.js`	`{skillRoot}/scripts/extract-icons.js`	Static analysis of imports to find icons/assets and extract SVG data

Do NOT modify this script.

Skip / Resume

If called with resume: true, check whether .temp/figma-from-code/icons.json exists on disk. If it does, skip and read the existing file. If it's missing, re-run.

Error Handling

Scenario	Action
`extract-icons.js` fails	Verify the source directory exists and `node_modules/lucide-react` is installed
Icon SVG resolution fails	Script logs warnings per-icon; other icons still extracted
SVG file asset not found on disk	Script logs warning; asset entry created without `svgString`

Files

SKILL.md and 1 other file in plugins/figma-from-code/skills/figma-from-code/2-discovery-assets of bitovi/ai-enablement-prompts.

SKILL.md
README.md

Open the folder on GitHubat commit df229b1

Compare with similar skills

Figma From Code Discovery Assets next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Figma From Code Discovery Assets compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Figma From Code Discovery Assets this skillbitovi/ai-enablement-prompts	121	—	~1.4k	Automated safety check: Pass	MIT	28 days ago
Orchestrate Stageseqra/opentaint	163	—	~806	Automated safety check: Pass	Apache-2.0	today
Security AuditorArchethect/sc-auditor	127	—	~5.9k	Automated safety check: Notes	None	6 mo ago
Cherry Studio PR ReviewCherryHQ/cherry-studio	52k	—	~3.9k	Automated safety check: Pass	AGPL-3.0	today
Merge ReadyVladSez/easy-invoice-pdf	1.1k	1 repos	~1.4k	Automated safety check: Pass	AGPL-3.0	6 days ago
Igniteui Wc Choose ComponentsIgniteUI/igniteui-webcomponents	170	—	~4.6k	Automated safety check: Pass	MIT	today

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All 40 skills in this repo

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Track reusable UI components and unextracted patterns. An agent skill from bitovi/ai-enablement-prompts.
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Create Plugin
bitovi/ai-enablement-prompts
A skill your agent uses when the user asks to "create a plugin", "add a plugin", "make a new plugin", "build a plugin", or wants to package skills into an installable plugin for this marketplace.
121 GitHub stars~2k tokensUpdated 28 days ago
Auto-check passed
Create React Modlet
bitovi/ai-enablement-prompts
Create React components, hooks, or utilities following the modlet pattern.
121 GitHub stars~2.1k tokensUpdated 28 days ago
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Create Skill
bitovi/ai-enablement-prompts
A skill your agent uses when the user asks to "create a skill", "add a skill", "make a new skill", "build a skill", or wants to automate a repeated workflow into a reusable prompt.
121 GitHub stars~1.6k tokensUpdated 28 days ago
Auto-check passed
Create Skill
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Create new Agent Skills for this project. An agent skill from bitovi/ai-enablement-prompts.
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Works with

Questions about Figma From Code Discovery Assets

What does Figma From Code Discovery Assets do?

Subagent for figma-from-code Phase 0b. An agent skill from bitovi/ai-enablement-prompts. Figma From Code Discovery Assets is an agent skill from bitovi/ai-enablement-prompts. Subagent for figma-from-code Phase 0b.

When should I use Figma From Code Discovery Assets?

Figma From Code Discovery Assets fits situations like: tasks that involve Static analysis and SAST; tasks that involve Subagents.

How do I install Figma From Code Discovery Assets in Claude Code?

Run `npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-discovery-assets -a claude-code`. Or copy the skill folder (plugins/figma-from-code/skills/figma-from-code/2-discovery-assets in bitovi/ai-enablement-prompts) into .claude/skills/figma-from-code-discovery-assets in your project. Claude Code loads it when a task matches its description.

How do I install Figma From Code Discovery Assets in Codex?

Run `npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-discovery-assets -a codex`. Or copy the skill folder (plugins/figma-from-code/skills/figma-from-code/2-discovery-assets in bitovi/ai-enablement-prompts) into .agents/skills/figma-from-code-discovery-assets in your project. Codex loads it when a task matches its description.

Can I use Figma From Code Discovery Assets in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-discovery-assets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/figma-from-code-discovery-assets, .gemini/skills/figma-from-code-discovery-assets, .github/skills/figma-from-code-discovery-assets and .opencode/skills/figma-from-code-discovery-assets in your project.

What does Figma From Code Discovery Assets need to run?

Going by SKILL.md and its folder, Figma From Code Discovery Assets needs the command-line tools its instructions call (node).

Does Figma From Code Discovery Assets access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Figma From Code Discovery Assets safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Figma From Code Discovery Assets use?

Figma From Code Discovery Assets is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Figma From Code Discovery Assets use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Figma From Code Discovery Assets?

Skills that share tags, products or a category with Figma From Code Discovery Assets: Orchestrate Stage (seqra/opentaint, 163 stars), Security Auditor (Archethect/sc-auditor, 127 stars), Cherry Studio PR Review (CherryHQ/cherry-studio, 52k stars) and Merge Ready (VladSez/easy-invoice-pdf, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Figma From Code Discovery Assets?

bitovi (a GitHub organization) maintains it in bitovi/ai-enablement-prompts, which has 121 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on September 11, 2026.

Source: bitovi/ai-enablement-prompts on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Figma From Code Discovery Assets

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Skill: Icon & Asset Discovery

When to Use

Prerequisites

Required Inputs

Output Files

icons.json structure

Workflow

1. Ensure output directory exists

2. Run the icon extraction script

3. Read and summarize the output

4. Write icons summary for the orchestrator

5. Report

Scripts Reference

Skip / Resume

Error Handling

Files

Compare with similar skills

Similar skills

More from bitovi/ai-enablement-prompts

Related

Questions about Figma From Code Discovery Assets

`icons.json` structure