Brand Voice

CommunityPopular

affaan-m

brand-voice

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.

Overview

Publisher	affaan-m
Repository	`ECC`
Skill name	`brand-voice`
Stars	270.2K
Forks	40.4K
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by affaan-m on GitHub. Read the source before you install it.

Installation

Install the Brand Voice 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/affaan-m/ECC/tree/main/.agents/skills/brand-voice
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/affaan-m/ECC.git /tmp/ECC
mkdir -p .claude/skills
cp -r /tmp/ECC/.agents/skills/brand-voice .claude/skills/brand-voice

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

Use it in TypingMind

Enable Brand Voice 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 Brand Voice 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 Brand Voice 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.

Brand Voice

Build a durable voice profile from real source material, then use that profile everywhere instead of re-deriving style from scratch or defaulting to generic AI copy.

When to Activate

the user wants content or outreach in a specific voice
writing for X, LinkedIn, email, launch posts, threads, or product updates
adapting a known author's tone across channels
the existing content lane needs a reusable style system instead of one-off mimicry

Source Priority

Use the strongest real source set available, in this order:

recent original X posts and threads
articles, essays, memos, launch notes, or newsletters
real outbound emails or DMs that worked
product docs, changelogs, README framing, and site copy

Do not use generic platform exemplars as source material.

Collection Workflow

Gather 5 to 20 representative samples when available.
Prefer recent material over old material unless the user says the older writing is more canonical.
Separate "public launch voice" from "private working voice" if the source set clearly splits.
If live X access is available, use x-api to pull recent original posts before drafting.
If site copy matters, include the current ECC landing page and repo/plugin framing.

What to Extract

rhythm and sentence length
compression vs explanation
capitalization norms
parenthetical use
question frequency and purpose
how sharply claims are made
how often numbers, mechanisms, or receipts show up
how transitions work
what the author never does

Output Contract

Produce a reusable VOICE PROFILE block that downstream skills can consume directly. Use the schema in references/voice-profile-schema.md.

Keep the profile structured and short enough to reuse in session context. The point is not literary criticism. The point is operational reuse.

Affaan / ECC Defaults

If the user wants Affaan / ECC voice and live sources are thin, start here unless newer source material overrides it:

direct, compressed, concrete
specifics, mechanisms, receipts, and numbers beat adjectives
parentheticals are for qualification, narrowing, or over-clarification
capitalization is conventional unless there is a real reason to break it
questions are rare and should not be used as bait
tone can be sharp, blunt, skeptical, or dry
transitions should feel earned, not smoothed over

Hard Bans

Delete and rewrite any of these:

fake curiosity hooks
"not X, just Y"
"no fluff"
forced lowercase
LinkedIn thought-leader cadence
bait questions
"Excited to share"
generic founder-journey filler
corny parentheticals

Persistence Rules

Reuse the latest confirmed VOICE PROFILE across related tasks in the same session.
If the user asks for a durable artifact, save the profile in the requested workspace location or memory surface.
Do not create repo-tracked files that store personal voice fingerprints unless the user explicitly asks for that.

Downstream Use

Use this skill before or inside:

content-engine
crosspost
lead-intelligence
article or launch writing
cold or warm outbound across X, LinkedIn, and email

If another skill already has a partial voice capture section, this skill is the canonical source of truth.

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 Brand Voice AI skill do?

Why use Brand Voice on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/affaan-m/ECC/tree/main/.agents/skills/brand-voice. 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 Brand Voice?

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 Brand Voice?

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

Is the Brand Voice AI skill free?

Yes. It is published on GitHub by affaan-m 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

Brand Voice

When to Activate

Source Priority

Collection Workflow

What to Extract

Output Contract

Affaan / ECC Defaults

Hard Bans

Persistence Rules

Downstream Use

Bundled files

Frequently asked questions

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