Voice Calibration

Community

timscheuerai

voice-calibration

Build or refine an author's writing guide from their own writing samples and edits, without importing another creator's voice.

Overview

Publisher	timscheuerai
Repository	`linkedin-funnel`
Skill name	`voice-calibration`
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 Voice Calibration 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/voice-calibration
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/voice-calibration .claude/skills/voice-calibration

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

Use it in TypingMind

Enable Voice Calibration 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 Voice Calibration 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 Voice Calibration 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.

Workspace: all context paths below (identity, audience, strategy, voice, brand, raw, output, index, log, workspace preferences and context scripts) resolve from context/ in the kit root. Read both the root AGENTS.md and context/AGENTS.md. Skill-local references/ and flowchart scripts/ resolve from this skill directory.

Calibrate the voice

Read AGENTS.md, voice/linkedin-voice.md, relevant identity and audience pages, and the source samples. Capture new sources through capture-context when needed.

Separate writing authored by the person, transcripts of speech, approved ghostwritten posts, rejected drafts and external inspiration. Human edits show preferences; engagement numbers show outcomes, not who wrote a sentence.

Derive rules from examples

Use several representative samples when available. One sample supports tentative observations, not a universal style. Record the limits of the evidence.

Look for recurring choices in opening lines, sentence rhythm, paragraph length, vocabulary, punctuation, specificity, argument structure and endings. Quote short illustrative passages with source paths. Preserve meaningful irregularities instead of making the voice more polished by default.

Write observed rules in voice/linkedin-voice.md and format choices in voice/formats.md. Distinguish consistent patterns from context-dependent choices. Do not hard-code a dialect, numeric separator, slang quota, hook length or CTA frequency from this template.

Calibrate with an actual draft

When drafting is requested, use a supplied, public-use source to write a short sample. Give the author a concrete passage to edit. File their actual corrections as evidence, then update the few rules the corrections support. Do not label your own imitation approved.

If writing samples are missing, collect them or produce a clearly labeled neutral draft when that is useful and requested. Do not claim to reproduce a specific voice from a biography alone.

Update source notes, index and log; run scripts/wiki-lint.sh. Return the guide and any unresolved voice choices.

Frequently asked questions

What does the Voice Calibration AI skill do?

Build or refine an author's writing guide from their own writing samples and edits, without importing another creator's voice.

Why use Voice Calibration on TypingMind?

Because you install it once and use it with any model. Voice Calibration 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 Voice Calibration in TypingMind?

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

Which AI models can use Voice Calibration?

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 Voice Calibration?

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

Is the Voice Calibration 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

Calibrate the voice

Derive rules from examples

Calibrate with an actual draft

Frequently asked questions

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