Catalog
affaan-m/brand-voice

affaan-m

brand-voice

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.

global
origin:ECC
New~896
v1.2Saved Jul 14, 2026

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.

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Overall Score

89/100

Grade

A

Excellent

Safety

95

Quality

87

Clarity

90

Completeness

84

Summary

The Brand Voice skill teaches an agent to extract writing style patterns from real source material (posts, emails, docs, site copy) and build a reusable voice profile structured for downstream skills. It emphasizes extraction of rhythm, compression, capitalization, question frequency, claim style, and banned patterns—then outputs a standardized VOICE PROFILE block to drive consistent content generation across channels (X, LinkedIn, email, launches).

Detected Capabilities

file readcontent analysisstructured data extractionreference output generationsession-scoped artifact creation

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

brand voice profilewriting style extractionvoice consistencyauthor tone analysisreusable voice guide

Use Cases

  • Build reusable voice profile from author's real posts and essays
  • Ensure voice consistency across X, LinkedIn, email, and product content
  • Adapt known author tone to multiple channels without one-off prompting
  • Establish canonical style guide for downstream content generation skills
  • Extract and document hard style bans (e.g., fake hooks, forced lowercase, bait questions)

Quality Notes

  • Clear scope boundaries: reads source material, extracts patterns, produces structured output — no file writes, no shell execution, no external API calls
  • Schema is concrete and well-specified; VOICE PROFILE block is consumable by downstream skills
  • Source priority hierarchy is explicit (X posts > essays > emails > docs) and prevents generic exemplars
  • Hard bans list is specific and observable (fake hooks, 'excited to share', thought-leader cadence) rather than vague
  • Default voice guidance (Affaan/ECC) is provided but properly scoped to thin-source fallback scenario
  • Edge cases well-handled: source splits documented rather than averaged, confidence tracking encouraged, session vs persistent storage rules are clear
  • Persistence rules prevent unintended repo tracking of personal fingerprints
  • Integrates explicitly with downstream skills (content-engine, crosspost, lead-intelligence), establishing clear handoff points
Model: claude-haiku-4-5-20251001Analyzed: Jul 14, 2026

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Version History

v1.2

Content updated

2026-07-14

Latest
v1.1

Content updated

2026-04-20

v1.0

No changelog

2026-04-12

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