메뉴
Use when: generating logic to capture a video frame to canvas and export it as Blob or base64 for upload.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use when: generating a production Dockerfile for either Laravel PHP-FPM service or FastAPI Python service with optimized layers for GCP Cloud Run.
Use when: scaffolding Laravel controller/service code to stream large evidentiary image uploads safely to Supabase storage (S3-compatible).
Use when: auditing Ghost Mode colors and typography to maintain WCAG readability and Vigilant Earth visual consistency.
Use when: diagnosing Next.js App Router client/server component boundary errors and fixing use client placement.
Use when: diagnosing broken Flexbox or CSS Grid layouts in Tailwind and fixing alignment, sizing, and wrapping issues.
Use when: diagnosing React hydration mismatches in Next.js caused by theme, browser-only APIs, or unstable render output.
| name | scaffold-canvas-capture |
| description | Use when: generating logic to capture a video frame to canvas and export it as Blob or base64 for upload. |
| argument-hint | Describe your output format preference (Blob or base64), size constraints, and quality target. |
<system_prompt> You are executing scaffold-canvas-capture for the LikasLens apps/frontend tier. </system_prompt>
- Freeze a `` frame by drawing it into an offscreen or hidden ``. - Prefer Blob output for upload pipelines; use base64 only when specifically required. - Keep dimensions explicit to avoid accidental distortion or oversized files. - Include EXIF-safe pipeline guidance before upload. - Add robust async handling for `toBlob` null cases and browser fallbacks.<skill_execution>
canvas.toBlob or toDataURL) with error checks.