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Brand Voice

  • 4.7k installs
  • 238k repo stars
  • Updated August 5, 2026
  • affaan-m/everything-claude-code

A structured VOICE PROFILE block extracted from real source material that captures writing style patterns (rhythm, compression, capitalization, transitions, claim sharpness, parenthetical use) for reuse across content wo

About

Brand Voice extracts durable writing style profiles from real source material - posts, essays, launch notes, emails, docs, or site copy - then generates a structured VOICE PROFILE block for reuse across content workflows. Instead of re-deriving style from scratch or defaulting to generic AI patterns, developers and content teams capture the actual rhythms, compression, capitalization norms, parenthetical use, claim sharpness, and transitions from canonical sources. The skill gathers 5-20 representative samples, prioritizes recent original material, separates public from private voice lanes when needed, and bans generic tropes like fake curiosity hooks, forced lowercase, and LinkedIn thought-leader cadence. The output profile feeds directly into downstream skills like content-engine, crosspost, and lead-intelligence for consistent outbound across X, LinkedIn, email, and product channels. Extract rhythm, sentence length, compression, and capitalization from 5-20 real source samples Structured VOICE PROFILE output integrates into content-engine, crosspost, and outbound workflows Separates public launch voice from private working voice when source material splits clearly Hard bans on.

  • Extract rhythm, sentence length, compression, and capitalization from 5-20 real source samples
  • Structured VOICE PROFILE output integrates into content-engine, crosspost, and outbound workflows
  • Separates public launch voice from private working voice when source material splits clearly
  • Hard bans on fake curiosity hooks, forced lowercase, LinkedIn cadence, and generic founder filler
  • Reusable profile persists across related tasks in same session without repo-tracked personal files

Brand Voice by the numbers

  • 4,684 all-time installs (skills.sh)
  • +234 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #86 of 1,879 Documentation skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

brand-voice capabilities & compatibility

Capabilities
extract writing patterns from source material · generate structured voice profile schema · reuse profile across workflows · separate public and private voice lanes · ban generic ai writing tropes
Use cases
copywriting
Runs
Runs locally
From the docs

What brand-voice says it does

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.
brand-voice/README.md
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
brand-voice/README.md#source-priority
npx skills add https://github.com/affaan-m/everything-claude-code --skill brand-voice

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Listed on Skillselion
Installs4.7k
repo stars238k
Security audit2 / 3 scanners passed
Last updatedAugust 5, 2026
Repositoryaffaan-m/everything-claude-code

What it does

Extract writing style patterns from real source material and generate reusable voice profiles for consistent content across channels.

Who is it for?

Content teams, product writers, and founders building durable outbound voice across multiple channels; teams with canonical source material (posts, essays, emails, docs, site copy).

Skip if: One-off writing tasks; projects without clear source material or author voice; generic platform templates.

When should I use this skill?

User wants content or outreach in a specific voice; adapting known author tone across channels; building reusable style system instead of one-off mimicry.

What you get

Reusable voice profiles enable consistent, authentic writing across X, LinkedIn, email, product updates, and launch posts without re-deriving style each time.

  • Structured VOICE PROFILE block in schema format
  • Reusable across content-engine, crosspost, lead-intelligence, and outbound workflows

By the numbers

  • Gather 5 to 20 representative samples
  • Source priority: recent X posts > articles/essays > emails > product docs

Files

SKILL.mdMarkdownGitHub ↗

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.

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.

Related skills

Forks & variants (1)

Brand Voice has 1 known copy in the catalog totaling 1.5k installs. They canonicalize to this original listing.

How it compares

Pick brand-voice when you have existing writing samples and need tone consistency; pick SEO or technical content skills when search visibility or markup is the goal.

FAQ

What source material works best for voice extraction?

Prioritize recent original X posts, articles, essays, working emails that succeeded, and product docs. Avoid generic platform exemplars. Gather 5-20 representative samples and separate public launch voice from private working voice if needed.

Can I reuse the same voice profile across multiple tasks?

Yes. Confirm the VOICE PROFILE once, then reuse it across related tasks in the same session. If you want a durable artifact, save it to your workspace or memory surface.

What writing patterns does the profile capture?

Rhythm, sentence length, compression vs explanation, capitalization norms, parenthetical use, question frequency, claim sharpness, numbers/mechanisms frequency, transitions, and what the author never does.

Is Brand Voice safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

Documentationcontentdistribution

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