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video-quality-audit
Audit generated video quality with objective checks and produce an optimization plan for next render iteration.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Audit generated video quality with objective checks and produce an optimization plan for next render iteration.
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
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
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Look up current research information using Perplexity's Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.
Render manim videos with correct CLI flags, dependency checks, and bounded retry strategy.
Write reproducible manim scripts with clear scene structure, deterministic defaults, and reviewable assumptions.
Package rendered video outputs as GitHub Actions artifacts and provide traceable links in the final response.
| name | video-quality-audit |
| description | Audit generated video quality with objective checks and produce an optimization plan for next render iteration. |
Use this skill after rendering and before final publishing.
Evaluate output video quality with reproducible checks, then provide focused optimization actions.
ffprobe.ffprobe -v error -show_entries stream=codec_name,width,height,r_frame_rate,bit_rate -show_entries format=duration -of json <video.mp4>