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Video Recap Workflows

Community
wwwzhouhui
video-recap-workflows

Consolidated narrated recap workflows for movie commentary, football/soccer match recaps, League of Legends esports recaps, and basketball/NBA/CBA full-game recaps. Use when video-edit-agent routes a full film, match, game replay, or broadcast into mode=movie-recap, mode=soccer-recap, mode=lol-recap, or mode=basketball-recap for Chinese narrated highlight/recap editing with deterministic recap MCP tools.

Overview

Publisherwwwzhouhui
Repositoryskills_collection
Skill namevideo-recap-workflows
Stars
285
Forks
57
Bundled files
7
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.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by wwwzhouhui on GitHub. Read the source before you install it.

Installation

Install the Video Recap Workflows 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/wwwzhouhui/skills_collection/tree/main/video-agent-kit/skills/video-recap-workflows
  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/wwwzhouhui/skills_collection.git /tmp/skills_collection
mkdir -p .claude/skills
cp -r /tmp/skills_collection/video-agent-kit/skills/video-recap-workflows .claude/skills/video-recap-workflows
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Recap Workflows 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 Recap Workflows 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 Recap Workflows 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.

Video Recap Workflows

This skill contains specialized single-title recap workflows that sit beside video-edit-assembly and video-speech-workflows.

Route Modes

Choose exactly one mode from the caller's args, then read and follow the matching workflow document:

ModeWorkflow
movie-recapworkflows/movie-recap.md
soccer-recapworkflows/soccer-recap.md
lol-recapworkflows/lol-recap.md
basketball-recapworkflows/basketball-recap.md

If the args do not name a mode, infer the narrowest matching one:

  • Use movie-recap for "movie recap", "film commentary", "几分钟看完一部电影", or other one-film Chinese narrated recap tasks with substantial dialogue.
  • Use soccer-recap for full football/soccer match recaps, 足球比赛解说集锦, or story-driven match highlight reels.
  • Use lol-recap for full League of Legends pro-game or BO-series recaps with original caster commentary.
  • Use basketball-recap for full basketball broadcast recaps, including NBA/CBA-style Chinese narrated highlight stories.

Boundaries

  • Multi-material user source packs stay in video-edit-assembly unless the task is specifically one full title/match/game recap handled by a workflow above.
  • Short official highlight compilations are not valid inputs for the sports recap workflows unless the user only wants ordinary trimming or subtitling; use the common video-edit-agent workflow for those.
  • The selected workflow's own file contract is authoritative. These workflows usually produce out/final.mp4 and workflow-specific QC artifacts rather than the generic out/preview.mp4 timeline contract.
  • The recap tools do not perform narrative reasoning. The main agent must read transcripts/axes, write outlines, scripts, style cards, and spot-review notes; deterministic tools only inspect, arrange, synthesize, bind, render, and validate media.

Shared Tool Families

  • Movie recap: detect_shots, arrange_footage, synthesize_narration, bind_narration, render_narrated.
  • Soccer recap: soccer_ingest, detect_shots, soccer_arrange, soccer_tts, soccer_render.
  • LoL and basketball recap: lol_ingest, detect_shots, lol_tts, lol_arrange, lol_render.
  • All workflows may still use common tools such as inspect_media, transcribe, video_ingest, video_watch_segment, and qc_preview when the workflow requires evidence or closeout checks.

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Video Recap Workflows AI skill do?

Consolidated narrated recap workflows for movie commentary, football/soccer match recaps, League of Legends esports recaps, and basketball/NBA/CBA full-game recaps. Use when video-edit-agent routes a full film, match, game replay, or broadcast into mode=movie-recap, mode=soccer-recap, mode=lol-recap, or mode=basketball-recap for Chinese narrated highlight/recap editing with deterministic recap MCP tools.

Why use Video Recap Workflows on TypingMind?

Because you install it once and use it with any model. Video Recap Workflows 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 Recap Workflows in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wwwzhouhui/skills_collection/tree/main/video-agent-kit/skills/video-recap-workflows. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Video Recap Workflows?

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 Recap Workflows?

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

Is the Video Recap Workflows AI skill free?

It is published on GitHub by wwwzhouhui. Check the repository for licensing terms. 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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