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Video Workflow Defaults

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Lanqiao-Luca
video-workflow-defaults

视频流程公共接入、当前阶段及视频或封面交付的条件覆盖；不替代题材技能或自动制作媒体。

Overview

PublisherLanqiao-Luca
Repositoryai-video-marker
Skill namevideo-workflow-defaults
Stars
117
Forks
4
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Lanqiao-Luca on GitHub. Read the source before you install it.

Installation

Install the Video Workflow Defaults AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Lanqiao-Luca/ai-video-marker/tree/main/skills/video-workflow-defaults
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Lanqiao-Luca/ai-video-marker.git /tmp/ai-video-marker
mkdir -p .claude/skills
cp -r /tmp/ai-video-marker/skills/video-workflow-defaults .claude/skills/video-workflow-defaults
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Workflow Defaults in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Video Workflow Defaults on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Video Workflow Defaults is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

目的：为视频制作Workflow提供唯一公共默认清单与条件消费接口，使现有原子获得真实职责、落点和返回而不重复实现。

原子属性：主性质：操作性；辅助性质：方法性、验收性。适用范围：领域（AI视频制作，沿本次真实授权）；维护身份：canonical（本公开正文）。属性不代语义审查或实际执行。

适用于：制作视频职责交入的流程创建/修订、当前制作阶段/节奏反馈、实际视频或宣传封面交付；接已加载有效规则和真实阶段，只展开当前需要的来源。

视频公共默认

输入、模式与返回

输入：Workflow文件/版本/目的及本轮差异，作品或run、当前阶段、目标/验收、候选/采用基线、写集/位置、实际执行和审验职责、预算、有效已加载来源及真实证据。来源不足返回精确缺项，不推定角色文档等于已执行。

  • 流程接入模式：新建/修订视频Workflow时核下表全部公共项有真实触发、职责、阶段落点和返回出口；此处“覆盖”检查路由合同，不执行尚未触发的媒体动作。保留原active/candidate/effective身份及专用阶段。
  • 当前阶段模式：消费已触发项，复用同版本仍有效输入/结果；未触发项仅保触发条件，不反复全读公共清单正文或从第一阶段重做。真实规则变化或结果失效才定向刷新。
  • 交付模式：实际向用户交付视频或宣传封面时核同版本文件与对应出口；只补交付信息/封面不触发视频重渲或发布。无媒体的纯文改不能假造交付触发。

向原制作视频职责返回同一份轻量覆盖结果：每项的原子ID/有效来源版本、当前触发判断、实际承担职责、Workflow阶段/现有记录落点、已返回证据或具体缺项、下一消费者。状态用“已消费／复用有效结果／本次未触发（注明触发条件或有据N/A）／缺项”；不得以链接存在标已消费。流程接入覆盖与本轮实际执行结果分列，原则持续有效不等于每轮另造审查运行。

结果保存沿原run的现有计划/状态/事件/产出字段，无run的纯职责任务沿原记录；不另建一套公共项台账或并行总体进度。缺项只暂停依赖它的动作，回原职责定向修正，其他已满足阶段继续。

公共默认清单（唯一维护处）

本表是条件与接口映射；规则正文只在所链原子维护。其他Agent/Workflow只引用本Skill返回，不复制清单。具体必读范围与全文要求沿原合同，已有效加载者复用。

公共原子触发与本次适配必须接回的结果/落点
AP01 目的守恒文档创建/修改，或阶段目的发生变化；文档维护消费既有animation-docs适配目的/差异判断；仅真实目的变化按原合同处理，不增加逐文件审批
AP02 复用与影响边界新增/改动/复用公共能力及其消费者既有方法、实际调用影响与必要回归范围；未知明确，不为本清单重建同义原子
AP03 证据与结论形成执行、验证、审验或采用结论同文件/版本的证据范围；自检、分离审查、用户采用、未知分别返回
AP04 写入与原件边界本次写入、适配或归档前实际域根/写集、原件与前件保全、来源与权限；不扩到平台配置/发布
AP05 已确认基线保护有既定方向、采用素材或可用成果时基线、差异及局部返工范围；无既有基线可据实N/A，不把候选升为采用
AN07 阶段验收当前阶段产物/真实差异或证据失效本阶段最小有效验证与实际结果；纯文档只验证文档，不强制媒体重渲
AN08 审核交接当前流程确有审验交接/发现/修订同候选身份、实际审验者、发现与定向复核；无审查不冒称通过，不自动启动外审
AN09 异常恢复当前必要步骤失败、受阻或执行结果未知首断点、已受理动作核查、有效前缀、最小恢复及原阶段；无故障不制造恢复动作
RET01 留存与过程位置当前阶段首次写入、位置改变、收束经animation-docs留存适配接位置绑定/登记/实际收束，由原制作调用真正使用；纯只读N/A沿原合同
EX01 执行文档实际启用/续作Workflow及交接经执行文档适配接当前run绑定计划、状态/事件/产出及恢复点；只启用所需层、不倒填旧执行
CX01 当前单元方案/下一单元/依赖扩张/交接的预算判断经上下文适配接可执行单元/必要读集与停止条件；不为未触发拆分强建新流程
APROP01 原子属性创建或修改能力文档经属性与保存适配接真实分类、属性/语义依据、受控保存/读回；导航/事实资源按真实用途排除
AN11 视频交付实际向用户交付已导出视频版本经animation-finish交付适配接完整交付信息与缺项；由声音与后期返回宿主，在最终回复核可见绝对全路径、推荐标题、完整发布描述。未完成文件返回导出阶段，不以预览短链代替
AN12 视频宣传封面正式成片宣传/面向发布的宣传交付，或单独封面请求；当前需求覆盖默认、内部试片等排除及有效双图复用沿AN12判断把制作输入/原子结果交回原Workflow，由其既有美术职责完成静态封面；原声音与后期消费animation-finish封面交付适配核收同版本图像/文案/来源/检查及缺项，再由制作视频职责核收并交宿主展示；缺项只返相交图，不改视频
AN13 画面提速与场景增补路线/分镜编排、粗剪评估或慢/拖沓/提速增景反馈时检查；实际消费AN13当前同类像素动作r=2默认、原设计基准与防叠乘；当前用户要求优先，音乐1×与题材保护沿AN13由原Workflow导演/动画职责明确相交段与新增信息，动画消费animation-shot节奏适配返回原设计/已执行倍率、实际映射/增景/验证与独立音乐速度；声事件沿既有后期事件输入保持权威cue，当前用户要求与音轨保护沿AN13；制作视频核收实际结果/未验后交原阶段，纯文档不重渲

本Skill的同层适配引用复用既有实现；Markdown/状态写入仍由文档维护职责调用animation-docs执行，媒体和交付由原专业职责执行。本Skill只返回覆盖、参数和待办责任，不夺取那些写权，也不直接反向调度Agent或Workflow。

专用能力与边界

AN01–06、AN10及诗词/像素/纸艺等题材方法由原Workflow阶段和专业职责按需选择，不列为所有流程必跑项。新的公共要求只有经授权修改本清单才扩展默认，不在每个Workflow复制一套变体。公共接入不能改变专用职责目的、候选效力、制作路线、已采用基线或实际工具能力。

调用角色职责不等于平台已注册角色；不会因此自动开子Agent、跨窗口发消息、外部审核、后台/定时任务、付费、上传或发布。用户当前授权、平台约束与各原子正文继续有效。

返回

交回原制作视频职责：模式、当前阶段、覆盖/消费结果、真实专业职责分配、缺项与下一可执行动作；有问题由原作者/原生产职责修正，未触发和未验证保持可识别。保存成功、路由静态检查与实际媒体/新机运行分别报告。

返回：技能目录。

Frequently asked questions

What does the Video Workflow Defaults AI skill do?

视频流程公共接入、当前阶段及视频或封面交付的条件覆盖；不替代题材技能或自动制作媒体。

Why use Video Workflow Defaults on TypingMind?

Because you install it once and use it with any model. Video Workflow Defaults is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Video Workflow Defaults in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Lanqiao-Luca/ai-video-marker/tree/main/skills/video-workflow-defaults. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Video Workflow Defaults?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Video Workflow Defaults?

As many as you like. As long as a model supports skills, you can use Video Workflow Defaults with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Video Workflow Defaults AI skill free?

Yes. It is published on GitHub by Lanqiao-Luca under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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