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brand-voice

Official
by Api.AirforcePrepends a system promptAI & Agent Building000 uses202,700

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.

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What this skill does

When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.

---
name: brand-voice
description: 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.
---

# 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-prof

Use this skill

Per request

Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.

{
  "model": "gpt-4o-mini",
  "skill": "imp-b28fe7e1-dde7-43d3-833d-876e1a9b325c",
  "messages": [{ "role": "user", "content": "…" }]
}
Always on — no field to send

Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.

Set it up in your dashboard