Agent Development
majiayu000/claude-skill-registry
Design and build custom Claude Code agents with effective descriptions, tool access patterns, and self-documenting prompts.
Subagent for figma-from-code Phase 2.5. An agent skill from bitovi/ai-enablement-prompts.
$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-precapture -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bitovi/ai-enablement-prompts figma-from-code-precapture --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/5-precapture .claude/skills/figma-from-code-precapture && rm -rf skills-srcUse ~/.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/
Install the "figma-from-code-precapture" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/5-precapture into .claude/skills/figma-from-code-precapture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-precapture", 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 install https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/5-precaptureType 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.
$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-precapture -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bitovi/ai-enablement-prompts figma-from-code-precapture --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/5-precapture .agents/skills/figma-from-code-precapture && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "figma-from-code-precapture" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/5-precapture into .agents/skills/figma-from-code-precapture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-precapture", 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.
$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-precapture -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bitovi/ai-enablement-prompts figma-from-code-precapture --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/5-precapture .cursor/skills/figma-from-code-precapture && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "figma-from-code-precapture" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/5-precapture into .cursor/skills/figma-from-code-precapture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-precapture", 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 https://github.com/bitovi/ai-enablement-prompts.git --path plugins/figma-from-code/skills/figma-from-code/5-precapture--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-precapture -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bitovi/ai-enablement-prompts figma-from-code-precapture --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/5-precapture .gemini/skills/figma-from-code-precapture && rm -rf skills-srcUse ~/.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/
Install the "figma-from-code-precapture" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/5-precapture into .gemini/skills/figma-from-code-precapture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-precapture", 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.
$ gh skill install bitovi/ai-enablement-prompts figma-from-code-precaptureInstalls 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).
$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-precapture -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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/5-precapture .github/skills/figma-from-code-precapture && rm -rf skills-srcUse ~/.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/
Install the "figma-from-code-precapture" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/5-precapture into .github/skills/figma-from-code-precapture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-precapture", 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.
$ npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-precapture -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bitovi/ai-enablement-prompts figma-from-code-precapture --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/5-precapture .opencode/skills/figma-from-code-precapture && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "figma-from-code-precapture" agent skill from https://github.com/bitovi/ai-enablement-prompts/tree/main/plugins/figma-from-code/skills/figma-from-code/5-precapture into .opencode/skills/figma-from-code-precapture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-from-code-precapture", 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.
figma-from-code-precaptureSubagent for figma-from-code Phase 2.5. An agent skill from bitovi/ai-enablement-prompts.
Figma From Code Precapture is an agent skill from bitovi/ai-enablement-prompts. Subagent for figma-from-code Phase 2.5. Captures app screenshots and structured text content for every UI component before Figma building begins. Produces a unified batch manifest to minimize browser navigations.
Its SKILL.md is about 3.3k 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 Agent Workflows, covering Subagents. It works with Figma and Playwright. The repository describes itself as: Prompts Bitovi uses for software development. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit df229b1. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
nodeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Figma From Code Precapture loads about 3.3k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 851 words of instructions outside code blocks.
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.
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.
The full file from bitovi/ai-enablement-prompts at commit df229b1, republished under its MIT licence (© bitovi). 851 words, ~3,312 tokens.
.claude/skills/figma-from-code-precapture/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Captures app screenshots and structured text content for every UI component before any Figma building begins. Decoupling capture from building means build agents never launch Chromium. A single unified batch manifest (sorted by URL) minimizes page navigations and avoids multi-subagent overhead.
figma-from-code Phase 3 (component builds need app screenshots as reference){devServerUrl}node_modules/playwright-core)node {skillRoot}/scripts/browser-server.js &Placeholders like
{devServerUrl}and{skillRoot}resolve fromstate.json → config. Endpoint is written to.temp/figma-from-code/pw-endpoint.txtand auto-detected by scripts.
The subagent builds all manifests itself before running any screenshots. Do not wait for external manifest files — build them from component-map.json.
.temp/figma-from-code/component-map.json to get all components and their capture datacapture object (see Selector Strategy below)url; append one text entry per discovered route (selector body) to all-text.json for screen text extractionprecapture-screens manifest for full-page screenshots of all discovered routes; for each route carry the list of top-level components (keyComponents) from component-map.json so the results file can be written without re-reading the mapUse component-map.json → capture as the authoritative source. It records exactly where and how the component was observed at discovery time:
capture.url — the exact concrete route where the selector was validated. Always use it as the manifest URL. Never substitute routes[0] — selectors derived on one route routinely fail on another.capture.selector — the primary selector; capture.fallbackSelectors — ordered alternates, passed through so screenshot.js can retry on drift.capture.interaction — the replay recipe for interaction-gated components: clicks (ordered array) and hover go straight into the manifest entry.capture.viewport — when non-null, pass as width/height.Legacy maps without capture: fall back to the top-level selector field paired with routes[0], as before. Do not read any other skill file to obtain selectors.
Skip a component only when both capture and the legacy selector field are null. These are typically loading states, error states, and components genuinely not reachable in the UI. They proceed to Phase 3 build with appScreenshot: null (the build skill handles the no_app_reference path). List each one in the skipped array.
The subagent constructs a unified manifest for all screenshottable components. The manifest is a JSON array where each entry has: url, output, selector, fallbackSelectors (optional), click (optional, string or ordered array), hover (optional), nth (optional), width/height (optional).
Write two manifest files (sorted by url to cluster same-route entries; within a URL, put entries without click first so passive captures are never polluted by leftover overlays):
.temp/figma-from-code/manifests/all-screenshots.json — all screenshot entries.temp/figma-from-code/manifests/all-text.json — all text extraction entries{
"url": "{devServerUrl}{capture.url}",
"output": ".temp/figma-from-code/screenshots/{name}/app.png",
"selector": "{capture.selector}",
"fallbackSelectors": ["{capture.fallbackSelectors...}"],
"click": ["{capture.interaction.clicks...}"],
"hover": "{capture.interaction.hover}",
"nth": 0
}Omit click/hover when capture.interaction is null. Add "width"/"height" when capture.viewport is set.
{
"url": "{devServerUrl}{capture.url}",
"output": ".temp/figma-from-code/screenshots/{name}/text.json",
"selector": "{capture.selector}",
"fallbackSelectors": ["{capture.fallbackSelectors...}"],
"click": ["{capture.interaction.clicks...}"],
"nth": 0
}One entry per discovered route goes into manifests/precapture-screens.json:
[
{
"url": "{devServerUrl}{route}",
"output": ".temp/figma-from-code/screenshots/screens/{ScreenName}/app.png",
"screenName": "{ScreenName}",
"route": "{route}",
"pageSourceFile": "{pageSourceFile}",
"keyComponents": ["{ComponentName}", "..."]
}
]One additional entry per route is appended to manifests/all-text.json for screen text extraction:
{
"url": "{devServerUrl}{route}",
"output": ".temp/figma-from-code/screenshots/screens/{ScreenName}/text.json",
"selector": "body"
}Build one entry per discovered route from component-map.json. Name screens by converting route paths to PascalCase (e.g., /items/new → CreateItemPage). keyComponents is the list of top-level components on that route.
The orchestrator dispatches one subagent that handles manifest-building and all captures inline.
Chunking:
screenshot.jshas a 60-second timeout per run. Ifall-screenshots.jsoncontains more than 15 entries, split it into chunk files of 15 entries each (chunk-01.json,chunk-02.json, …) and run each chunk sequentially. The default chunk size of 15 assumes ~3s per component; use chunks of 10 when a chunk contains entries withclicksteps (interaction replays add ~2–4s each), and reduce further if your app has slow navigation.
Capture app screenshots and text content for UI components and app screens from a running dev server.
Skill file: plugins/figma-from-code/skills/figma-from-code/5-precapture/SKILL.md
Read it for manifest format, selector strategy, and output format.
Step 0 — Build manifests from component-map.json:
Read .temp/figma-from-code/component-map.json
For each component with a non-null capture object (or, legacy fallback, a
non-null top-level selector field), create entries in:
.temp/figma-from-code/manifests/all-screenshots.json
.temp/figma-from-code/manifests/all-text.json (components only at this point)
Entry fields come from capture: url = {devServerUrl}{capture.url} (exact route,
never routes[0]), selector = capture.selector, fallbackSelectors, and when
capture.interaction is set: click = interaction.clicks (array), hover = interaction.hover.
Skip a component only when BOTH capture and selector are null — list it in skipped.
For each distinct route in component-map.json, collect the top-level components
that appear on that route (keyComponents list), then build:
.temp/figma-from-code/manifests/precapture-screens.json
Each screens manifest entry: { url, output, screenName, route, pageSourceFile, keyComponents }
Also append one text entry per route into all-text.json:
{ url, output: ".temp/figma-from-code/screenshots/screens/{ScreenName}/text.json", selector: "body" }
Sort all manifests by url (entries without click first within each url) before writing.
Scripts (already exist, do not modify):
Screenshot: node {skillRoot}/scripts/screenshot.js
Text: node {skillRoot}/scripts/extract-text.js
Both scripts support batch mode for faster execution (one browser, many captures):
1. Capture all component screenshots (chunk if > 15 entries — run each chunk sequentially):
node {skillRoot}/scripts/screenshot.js \
--batch .temp/figma-from-code/manifests/all-screenshots.json
2. Extract all text content in one batch (includes both component and screen text entries):
node {skillRoot}/scripts/extract-text.js \
--batch .temp/figma-from-code/manifests/all-text.json
3. Capture all screen (full-page) screenshots — screens are few so one chunk suffices:
node {skillRoot}/scripts/screenshot.js \
--batch .temp/figma-from-code/manifests/precapture-screens.json
4. Write component results to .temp/figma-from-code/precapture-all.json:
{"group": "all", "captured": [{"name": "...", "app": "...", "text": "..."}], "skipped": [...], "failed": [{"name": "...", "error": "...", "url": "...", "selectorTried": "...", "fallbacksTried": N}]}
For failed entries, copy the manifest url/selector and the fallback count from the
screenshot.js error output so selector drift is diagnosable from the results file alone.
5. Write screen results to .temp/figma-from-code/precapture-screens.json:
{
"screens": [
{
"screenName": "CasesPage",
"route": "/cases",
"pageSourceFile": "src/pages/CasesPage.tsx",
"keyComponents": ["CaseList", "CaseFilters"],
"appScreenshot": ".temp/figma-from-code/screenshots/screens/CasesPage/app.png",
"textFile": ".temp/figma-from-code/screenshots/screens/CasesPage/text.json",
"status": "captured"
}
]
}
status is "captured", "failed", or "skipped" per screen.Written to .temp/figma-from-code/:
| File | Contents |
|---|---|
precapture-all.json | Results for all component screenshots and text (single file) |
precapture-screens.json | Results for full-page screen screenshots and screen text |
{
"group": "all",
"captured": [
{ "name": "Button", "app": ".temp/.../Button/app.png", "text": ".temp/.../Button/text.json" }
],
"skipped": ["Skeleton"],
"failed": [{ "name": "Calendar", "error": "selector not found or timeout (tried 3: ...)", "url": "http://localhost:5173/cases/", "selectorTried": "[aria-label=\"Calendar\"]", "fallbacksTried": 2 }]
}{
"screens": [
{
"screenName": "CasesPage",
"route": "/cases",
"pageSourceFile": "src/pages/CasesPage.tsx",
"keyComponents": ["CaseList", "CaseFilters"],
"appScreenshot": ".temp/figma-from-code/screenshots/screens/CasesPage/app.png",
"textFile": ".temp/figma-from-code/screenshots/screens/CasesPage/text.json",
"status": "captured"
}
]
}keyComponents lists the top-level components that appear on the route (sourced from component-map.json). status is "captured", "failed", or "skipped" per screen.
| Script | Location | Purpose |
|---|---|---|
screenshot.js | {skillRoot}/scripts/screenshot.js | Playwright element/page screenshots, supports --batch |
extract-text.js | {skillRoot}/scripts/extract-text.js | Structured text extraction by role, supports --batch |
browser-server.js | {skillRoot}/scripts/browser-server.js | Shared Playwright WebSocket server |
Do NOT modify these scripts.
All screenshots are captured at 1x scale (deviceScaleFactor: 1 is enforced in screenshot.js). This prevents Retina 2x doubling and ensures consistent dimensions for downstream comparison against Figma screenshots (which must also use scale: 1 in get_screenshot calls).
If called with resume: true, check whether .temp/figma-from-code/precapture-all.json and precapture-screens.json both exist. If both are present, skip. If either is missing, re-run the missing capture.
| Scenario | Action |
|---|---|
| Dev server not running | Halt, tell user to start the dev server |
| Screenshot script fails for one component | Log in failed array, continue with remaining components |
| Entire batch fails | Report error, offer retry for the failed chunk or full manifest |
| Missing selectors | Component goes in skipped array, non-fatal |
© bitovi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in plugins/figma-from-code/skills/figma-from-code/5-precapture of bitovi/ai-enablement-prompts.
Open the folder on GitHubat commit df229b1
Figma From Code Precapture 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Figma From Code Precapture this skillbitovi/ai-enablement-prompts | 121 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Agent Developmentmajiayu000/claude-skill-registry | 666 | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Bangle Followup Operatorbangle-io/bangle-io | 1.2k | — | ~991 | Automated safety check: Pass | AGPL-3.0 | |
| Verifier SetupAI-Builder-Club/skills | 1.3k | — | ~2.1k | Automated safety check: Pass | None | |
| Igniteui Wc Figma To AppIgniteUI/igniteui-webcomponents | 170 | — | ~7.2k | Automated safety check: Pass | MIT | |
| Permission ManageraAAaqwq/AGI-Super-Team | 105 | 1 repos | ~1.3k | Automated safety check: Pass | MIT |
majiayu000/claude-skill-registry
Design and build custom Claude Code agents with effective descriptions, tool access patterns, and self-documenting prompts.
bangle-io/bangle-io
Operate recurring Bangle.io agent follow-ups after a thread has already started.
AI-Builder-Club/skills
Set a repo up to prove engineering-task work actually works before it ships.
IgniteUI/igniteui-webcomponents
Builds Ignite UI Web Components views from Figma designs, supporting Indigo.Design kits, third-party kits (Material 3, Fluent 2, shadcn/ui, Untitled UI, in-house), and plain frames.
aAAaqwq/AGI-Super-Team
管理Claude Code的全局工具权限配置,自动将MCP命令或其他工具添加到allowedTools中,避免每次使用时都需要手动批准。工作流程:确认用户需要添加的命令 - 确认添加级别(默认全局~/.claude.json) - 执行添加 - 验证并提醒重启。
Kiln-AI/Kiln
Multi-agent, browser-driven QA pass over a branch or PR — scope it, plan it, fan out one subagent per testing area in its own isolated sandbox, compile a severity-ranked markdown report.
bitovi/ai-enablement-prompts
Track reusable UI components and unextracted patterns. An agent skill from bitovi/ai-enablement-prompts.
bitovi/ai-enablement-prompts
Extract and compare computed CSS styles between a baseline URL and a dev/Storybook URL using Playwright MCP evaluate calls.
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.
bitovi/ai-enablement-prompts
Create React components, hooks, or utilities following the modlet pattern.
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.
bitovi/ai-enablement-prompts
Create new Agent Skills for this project. An agent skill from bitovi/ai-enablement-prompts.
Works with
Categories
Subagent for figma-from-code Phase 2.5. An agent skill from bitovi/ai-enablement-prompts. Figma From Code Precapture is an agent skill from bitovi/ai-enablement-prompts.5.
Figma From Code Precapture fits situations like: tasks that involve Subagents.
Run `npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-precapture -a claude-code`. Or copy the skill folder (plugins/figma-from-code/skills/figma-from-code/5-precapture in bitovi/ai-enablement-prompts) into .claude/skills/figma-from-code-precapture in your project. Claude Code loads it when a task matches its description.
Run `npx skills add bitovi/ai-enablement-prompts --skill figma-from-code-precapture -a codex`. Or copy the skill folder (plugins/figma-from-code/skills/figma-from-code/5-precapture in bitovi/ai-enablement-prompts) into .agents/skills/figma-from-code-precapture in your project. Codex loads it when a task matches its description.
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-precapture -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-precapture, .gemini/skills/figma-from-code-precapture, .github/skills/figma-from-code-precapture and .opencode/skills/figma-from-code-precapture in your project.
Going by SKILL.md and its folder, Figma From Code Precapture needs the command-line tools its instructions call (node).
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.
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.
Figma From Code Precapture is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Figma From Code Precapture: Agent Development (majiayu000/claude-skill-registry, 666 stars), Bangle Followup Operator (bangle-io/bangle-io, 1.2k stars), Verifier Setup (AI-Builder-Club/skills, 1.3k stars) and Igniteui Wc Figma To App (IgniteUI/igniteui-webcomponents, 170 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.