Short video performance review
Use when comparable short-video samples need diagnosis across content, audience, conversion, and delivery metrics or a bounded next experiment.From its SKILL.md
npx -y skills add slalomboy/talking-head-video-suite --skill short-video-performance-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.5 KB, 485 tokens by cl100k_base, as published. Nobody here has run it
Short Video Performance Review
核心原则
复盘连接内容指标和经营指标;观察可以立即记录,长期规则需要多个可比样本和明确采纳门。
触发与边界
用于周复盘、月复盘、异常诊断、素材回收和下一实验设计。不用一条视频自动改变定位、模板或团队长期规则。
方法
- 对齐样本的主题、受众、版本、时间窗、流量来源和指标口径。
- 分析
contentMetrics:停留、平均观看、留存、互动内容。 - 分析
audienceMetrics:来源、相关性、咨询质量和错误人群信号。 - 分析
conversionMetrics:点击、线索、成交、获客成本与贡献利润。 - 分析
deliveryMetrics:履约、退款、投诉、复购和承诺一致性。 - 记录观察;只有多个可比样本支持且通过
adoptionGate,才形成素材库、模板或规则候选。 - 每轮输出一个主要判断和一个
nextExperiment,避免同时改动全部变量。
输出契约
只写 metrics 和 nextActions:四层指标、观察、证据强度、可比样本、adoptionGate、候选更新与 nextExperiment。冲突和口径缺口进入 reviewItems。
常见错误
播放高即成功;互动等于购买;销售额等于利润;只看前端不看退款履约;从单次波动总结永久模板。
What ships with it: 3 files
493 B alongside SKILL.md
agents/
- openai.yaml278 B
assets/
- template.md76 B
references/
- method.md139 B