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Shorts Audio

Community
timscheuerai
shorts-audio

Improve recorded speech using measured levels, restrained noise treatment and listening comparisons against the source.

Overview

Publishertimscheuerai
Repositorylinkedin-funnel
Skill nameshorts-audio
Stars
60
Forks
20
Bundled files
Instructions only
LicenseMIT
Links
  • 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 Shorts Audio 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/timscheuerai/linkedin-funnel/tree/main/skills/shorts-audio
  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/timscheuerai/linkedin-funnel.git /tmp/linkedin-funnel
mkdir -p .claude/skills
cp -r /tmp/linkedin-funnel/skills/shorts-audio .claude/skills/shorts-audio
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shorts Audio 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 Shorts Audio 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 Shorts Audio 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.

Treat the actual audio problem

Listen to the original and measure sample rate, channels, loudness and peaks with the available audio tooling. Identify noise, clipping, uneven delivery, room tone or low level separately. Increasing level is not denoising.

Start with the smallest useful change. A constant gain preserves dynamics when headroom allows. If compression or limiting is needed, make it deliberate and listen for pumping, clipped consonants and lost room tone. Inspect current filter help; a requested linear mode may have constraints.

For noise reduction, use representative silence and compare speech before/after at matched loudness. Reject settings that create burbling or remove the speaker's texture. Do not prescribe a universal denoiser or fixed gain from another recording.

Apply channel conversion, EQ, dynamics and final level in an intentional order. Check the final mix including music and sound effects, especially overlapping peaks and mono/stereo changes.

Measure and listen to the encoded artifact, not just the intermediate PCM. Report the actual treatment, output measurements and audible tradeoffs. Use shorts-qa for the combined video/audio deliverable.

Frequently asked questions

What does the Shorts Audio AI skill do?

Improve recorded speech using measured levels, restrained noise treatment and listening comparisons against the source.

Why use Shorts Audio on TypingMind?

Because you install it once and use it with any model. Shorts Audio 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 Shorts Audio in TypingMind?

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

Which AI models can use Shorts Audio?

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 Shorts Audio?

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

Is the Shorts Audio 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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