brand-voice

Builds reusable writing style profiles from real source material for consistent content.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/diazMelgarejo/orama-system --skill brand-voice-diazmelgarejo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brand-voice
Source: https://github.com/diazMelgarejo/orama-system/tree/main/.cursor/.agents/skills/brand-voice
Command: npx skills add https://github.com/diazMelgarejo/orama-system --skill brand-voice-diazmelgarejo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Writing in a consistent personal or brand voice across channels usually means re-deriving style from scratch each time or falling back on generic AI copy. This Skill turns real source material into a durable, reusable voice profile. ## 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. - Cross-Channel Reuse: The profile feeds downstream workflows like content engines, crossposting, outbound email, and launch writing so tone stays consistent across X, LinkedIn, and email. - Anti-Generic Guardrails: Hard-bans common AI writing tropes such as fake curiosity hooks, bait questions, and LinkedIn thought-leader cadence. - Use Case: A founder wants launch posts and cold outreach to sound like their actual writing. The Skill analyzes their recent posts and essays, produces a voice profile, and reuses it for every subsequent draft in the session. ## Quick Start Analyze my recent posts and essays and build a reusable voice profile I can apply to all future content.

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 AI-generated content?

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

How to avoid generic AI writing tropes in marketing copy?

Define explicit banned moves in your voice profile, such as fake curiosity hooks, bait questions, and LinkedIn thought-leader cadence. Ground every stylistic rule in real source material rather than generic platform exemplars.

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. Prefer recent material unless older writing is more canonical.

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

Yes, a single structured profile can include channel-specific notes for X, LinkedIn, and email while keeping core traits like rhythm and claim style consistent. If public and private voices diverge, the profile should capture that split explicitly.

What are the limitations of source-derived voice profiles?

Profiles depend on the quality and quantity of available source material; thin or conflicting sources reduce confidence. When sources conflict, the split must be called out rather than averaged into an inconsistent blend.