Video Use

Community

timscheuerai

video-use

Edit a supplied video through a source-preserving transcript, timeline and visual review workflow using available rendering tools.

Overview

Publisher	timscheuerai
Repository	`linkedin-funnel`
Skill name	`video-use`
Stars	60
Forks	20
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 timscheuerai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/timscheuerai/linkedin-funnel/tree/main/skills/video-use
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.

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/timscheuerai/linkedin-funnel.git /tmp/linkedin-funnel
mkdir -p .claude/skills
cp -r /tmp/linkedin-funnel/skills/video-use .claude/skills/video-use

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Use 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 Use 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 Use 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.

Edit the supplied video

Inspect the footage and read the user's intent before choosing a treatment. Preserve originals and existing project edits. The brief determines whether this is an interview, montage, tutorial or talking head; do not force all material through one preset.

Record a project note with source files, intended message, chosen output, edits and unresolved decisions. Use a timestamped transcript where speech drives the cut, and inspect visuals at decisions. Transcription/generation services are optional external dependencies with their own costs.

Build an EDL with source ranges and derive the output timeline. Keep exact word context around cuts and maintain mappings for captions, overlays and later revisions. Use shorts-cut, shorts-audio and shorts-motion where relevant.

Use installed tooling with verified command/API grammar; no universal render.py or transcription service is bundled. Generate only the requested assets. Keep intermediate and final renders separate from sources.

Render, inspect and iterate against the brief. Use shorts-qa for applicable final checks. Deliver the export and editable project/EDL with known limitations. Publication and uploads remain separate actions within the user's actual request.

Frequently asked questions

What does the Video Use AI skill do?

Edit a supplied video through a source-preserving transcript, timeline and visual review workflow using available rendering tools.

Why use Video Use on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/timscheuerai/linkedin-funnel/tree/main/skills/video-use. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Video Use?

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 Use?

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

Is the Video Use AI skill free?

Yes. It is published on GitHub by timscheuerai 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Edit the supplied video

Frequently asked questions

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