video-content-strategy

video-content-strategy is a Video production & editing skill for AI agents, published by waker240 in the FullVideoProductionSkill repository on GitHub. Skillspace rates video-content-strategy D (64/100) and it passed the safety scan; the rating is based on static analysis only.

基于 Remotion 的动画解说视频视觉转译层:在脚本已经确立论点、人设与信息密度节奏的前提下,决定视觉设计、构图、镜头调性与图底关系规范。涵盖 Canvas/Artifact/Cinema 三层架构、6 种视觉基元、语义色彩系统、互补性测试、基底原则与外部化原则、密度节奏、锚点镜头专用的 Effort Protocol,以及一系列命名模式(Multi-Asset Scene Composition、Argument-Coded Subtitle、Style Register Library)——完整目录见 reference.md,案例研究见 field-notes.md。适用场景包括:为脚本设计视觉方案、判断某个素材该用代码、位图还是 Cinema-Layer 处理、规划多层位图场景、为某个镜头选择镜头调性、设计冷开场或锚点时刻、设计长视频字幕方案、诊断画面为何显得僵硬、单薄或疲惫,以及对场景做电影感质量复核。

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
87

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
81 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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