AD auto-remotion
从已有录屏/产品演示视频生成官网宣传片的工作流。 当用户提到以下场景时触发： - "把录屏转成宣传片"、"用录屏做产品视频" - "把演示视频做成官网介绍" - "Remotion 切片"、"视频分镜" - "产品宣传视频生成"、"screen recording to promo video" - "多个视频合并成宣传片"、"产品视频剪辑" - 用户想用 Remotion 把长视频切成短片段做宣传片 本技能覆盖从原始录屏素材到完整 Remotion 宣传片的完整流程： 环境准备 → 目标确认 → 素材识别（人工/自动）→ 分镜策划 → 结构化规格 → Remotion 实现 → 字幕轨 → 中文配音（edge-tts）→ BGM → 渲染出片 每个阶段都有具体检查清单、常见问题和决策框架。 **本 skill 不适用的情况**（见"不适用场景"章节）： - 从技术文档/幻灯片生成视频（无源视频素材） - 需要 AI 生成视频画面本身（仅处理已有素材的剪辑组合）
As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 44/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (python, node) that frontmatter does not declare
- 70Execution cost. Instruction body is 4692 tokens
- 100Steps. 52 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- low 18 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (3 tags): a typed call is more reliable
- medium 3 test cases, all positive: not one "should refuse" or "should ask first"
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +3Description length 441: enough signal without eating the budget
- +4Structure: 53 headings
- +3Step-by-step instructions: 52 items
- +4Has examples (34 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.