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.
About this skill
The 'Brand Voice' skill empowers AI agents to generate a robust, durable writing style profile by analyzing real-world source material such as posts, essays, launch notes, documentation, or site copy. Instead of re-deriving style from scratch or defaulting to generic AI writing tropes, this skill enables the reuse of the established voice profile across diverse content workflows, including content creation, outreach, and social media. It's designed for users who require voice consistency and authenticity, ensuring that generated text aligns perfectly with an established brand or authorial tone.
Best use case
To establish and consistently apply a specific brand or authorial voice across all AI-generated content, preventing generic AI output and maintaining authenticity.
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.
A comprehensive, reusable voice profile derived from your provided source material. All subsequent AI-generated content, outreach, and social media posts will consistently adhere to this specific brand voice, appearing authentic and free from generic AI stylistic patterns.
Practical example
Example input
User provides: A collection of blog posts from [YourCompany.com] and a prompt: 'Write a LinkedIn post announcing our new feature, using the style derived from these blog posts.' OR 'Analyze this collection of essays by [Author Name] and create a voice profile. Then, write an email to customers about our latest update in that author's style.'
Example output
The AI agent first presents a structured 'Brand Voice Profile' detailing key stylistic elements (e.g., tone, vocabulary, sentence structure, common phrases). Subsequently, it generates the requested content (e.g., a LinkedIn post or customer email) that meticulously adheres to the identified brand voice, appearing as if written by the original source author or brand.
When to use this skill
- The user needs content or outreach in a specific, established voice.
- Writing for platforms like X, LinkedIn, email, launch posts, threads, or product updates.
- Adapting a known author's tone across different channels.
- The existing content strategy requires a reusable style system rather than one-off style mimicry.
When not to use this skill
- When generic or standard AI-generated content is acceptable.
- When there is no existing source material to derive a specific voice from.
- When the user intentionally wants to experiment with new or unestablished voices.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/brand-voice/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How brand-voice Compares
| Feature / Agent | brand-voice | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | medium | N/A |
Frequently Asked Questions
What does this skill do?
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.
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as medium. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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: 1. recent original X posts and threads 2. articles, essays, memos, launch notes, or newsletters 3. real outbound emails or DMs that worked 4. product docs, changelogs, README framing, and site copy Do not use generic platform exemplars as source material. ## Collection Workflow 1. Gather 5 to 20 representative samples when available. 2. Prefer recent material over old material unless the user says the older writing is more canonical. 3. Separate "public launch voice" from "private working voice" if the source set clearly splits. 4. If live X access is available, use `x-api` to pull recent original posts before drafting. 5. 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](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.
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