brand-voice

Builds a reusable writing voice profile from real posts, essays, and site copy.

2|Updated Mar 29, 2015
One-click install
npx skills add https://github.com/ovisan/dotfiles --skill brand-voice-ovisan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brand-voice
Source: https://github.com/ovisan/dotfiles/tree/main/.agents/skills/brand-voice
Command: npx skills add https://github.com/ovisan/dotfiles --skill brand-voice-ovisan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Writing across X, LinkedIn, email, and launch posts often drifts into generic AI copy or inconsistent tone. This Skill derives a durable, source-backed voice profile from real writing samples so every downstream piece of content sounds like the same author. ## Core Features & Use Cases - Source-Derived Voice Profiles: Analyzes 5-20 real samples (posts, essays, emails, docs) to extract rhythm, compression, capitalization, claim style, and banned moves into a structured VOICE PROFILE block. - Reusable Output Schema: Produces a compact profile following the schema in references/voice-profile-schema.md that downstream skills like content-engine, crosspost, and lead-intelligence can consume directly. - Hard Bans on AI Tropes: Actively deletes patterns like fake curiosity hooks, "not X, just Y", bait questions, and LinkedIn thought-leader cadence. - Use Case: A founder wants launch posts and cold outreach to match their X writing style. The Skill pulls recent posts, builds the profile once, and reuses it across every content workflow in the session. ## Quick Start Analyze my recent X posts and essays to build a reusable voice profile I can apply to all future content and outreach.

Frequently Asked Questions about brand-voice

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a consistent brand voice for content writing?

Gather 5-20 real writing samples such as posts, essays, or emails, then extract patterns like sentence rhythm, compression, capitalization, and claim style into a structured voice profile. Reuse that profile across all content tasks instead of re-deriving style each time.

How to avoid generic AI writing tropes in marketing copy?

Define explicit banned moves derived from real source material, such as fake curiosity hooks, bait questions, and LinkedIn thought-leader cadence. A source-backed voice profile with hard bans keeps generated copy aligned with the actual author's style.

What source material works best for building a writing style profile?

Prioritize recent original posts and threads first, then articles, essays, and newsletters, followed by real outbound emails, and finally product docs and site copy. Avoid generic platform exemplars since they do not reflect the actual author's voice.

Can a voice profile be reused across X, LinkedIn, and email?

Yes, a structured voice profile includes channel-specific notes for X, LinkedIn, and email alongside shared style rules. Downstream content and outreach workflows consume the same profile so tone stays consistent across channels.

What are the limitations of AI-generated writing style profiles?

Profiles degrade when source material is thin, outdated, or mixes conflicting voices such as public launch tone versus private working tone. Conflicting source sets should be split explicitly rather than averaged into a generic middle ground.