brand-voice

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

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/freedom909/real-estate-saas --skill brand-voice-freedom909
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: brand-voice
Source: https://github.com/freedom909/real-estate-saas/tree/main/.trae/skills/brand-voice
Command: npx skills add https://github.com/freedom909/real-estate-saas --skill brand-voice-freedom909

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Writing content, outreach, and social posts in a consistent personal or brand voice is hard when style is re-derived from scratch each time, and default AI output drifts into generic tropes. 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 (X posts, essays, emails, docs, site copy) to extract rhythm, compression, capitalization, question use, and claim style. - Structured Output Contract: Produces a VOICE PROFILE block following the schema in references/voice-profile-schema.md that downstream content, crosspost, and outbound workflows can consume directly. - Hard Bans on AI Tropes: Explicitly deletes fake curiosity hooks, bait questions, "Excited to share", and LinkedIn thought-leader cadence. - Use Case: A founder wants launch posts and cold emails that sound like their actual writing. Feed recent posts and essays in, get a reusable profile, then apply it across every channel without re-explaining the style. ## Quick Start Analyze my recent posts and essays and 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 to 20 real writing samples such as posts, essays, or emails, then extract patterns for rhythm, compression, capitalization, and claim style into a structured voice profile. Reuse that profile across all downstream content instead of re-deriving style each time.

How to avoid generic AI writing tropes in social posts?▼

Define explicit banned moves in your voice profile, such as fake curiosity hooks, bait questions, "not X, just Y" phrasing, and LinkedIn thought-leader cadence. Ground every rule in observable patterns from real source material rather than generic platform exemplars.

What source material works best for building a voice profile?▼

Prioritize recent original posts and threads first, then articles, essays, and newsletters, followed by real outbound emails that worked, and finally product docs and site copy. Prefer recent material unless older writing is more canonical.

Can a voice profile be reused across different channels?▼

Yes, the profile includes channel notes for X, LinkedIn, and email so the same core style adapts per platform. If the source set splits between public launch voice and private working voice, the profile captures both instead of averaging them.

What are the limitations of a source-derived voice profile?▼

The profile quality depends entirely on the source set; thin or conflicting sources produce low-confidence results. It captures observable style patterns but cannot invent a voice that does not exist in the provided material.