Tapcanvas Video Prompting
Documentstapcanvas-video-promptingTapcanvas Video Prompting is an Agent Skill for documents published in the anymouschina/TapCanvas repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
处理关键帧转视频、短视频规划、节奏控制与拆段判断；输出最小可执行的视频提示词结果，不把 SOP 固化进后端 prompt。
QUICK START
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/anymouschina/TapCanvas/blob/HEAD/apps/agents-cli/skills/tapcanvas-video-prompting/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/tapcanvas-video-prompting, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
TapCanvas Video Prompting
何时使用
- 用户要从关键帧、分镜或章节正文生成短视频
- 用户只要视频提示词，或要把视频节点落到画布
- 主代理需要判断是否应该拆段、是否需要节奏审查
输入证据
- 选中节点、关键帧、参考图、章节正文、连续性与素材工具结果
- 已验证的角色、环境、动作、对白、时长与禁止项
执行原则
- 先确认事实，再组织 video prompt
- 是否先补关键帧、是否直接进视频、是否拆段，属于主代理基于证据的判断
- 长度、节奏、转场密度属于方法论，不属于后端硬编码
- 若需要专门提示词产出，可按需调用
video_prompt_specialist - 若需要感知节奏审查，可按需调用
pacing_reviewer - 若缺关键事实，显式说明缺口，不要用模板句硬填
输出契约
- 若输出视频提示词，最小结果应包含：
prompt
- 若需要保留拍点拆解，可附带
storyBeatPlan，但真实生成只消费prompt - 若需要拆段建议，应明确指出拆分原因与建议边界
- 若证据不足，返回缺失事实，而不是伪造完整 prompt