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.

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v1.1Saved Apr 20, 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

88/100

Grade

A

Excellent

Safety

95

Quality

87

Clarity

89

Completeness

82

Summary

This skill guides agents to build reusable voice profiles from real source material (posts, articles, emails, docs) and then apply those profiles consistently across content workflows. It extracts stylistic patterns like rhythm, compression, capitalization, and tone from representative samples, outputs a structured VOICE PROFILE artifact, and enables downstream skills to reuse that profile instead of re-deriving style from scratch.

Detected Capabilities

Analyze writing samples for stylistic patterns and toneExtract rhythm, compression, capitalization, and claim style from source materialIdentify banned moves and preferred moves in a voiceStructure voice profiles in a reusable schema formatIntegrate with downstream content skills via VOICE PROFILE artifacts

Trigger Keywords

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

voice consistencyextract writing stylereusable voice profileadapt tone across channelsbuild author fingerprint

Use Cases

  • Build a consistent writing style profile from founder or author samples
  • Extract voice patterns from existing posts, articles, and emails for reuse
  • Create a canonical style guide for outreach across X, LinkedIn, and email
  • Adapt a known author's tone across multiple content channels
  • Generate a reusable voice profile for content-engine or crosspost workflows

Quality Notes

  • Excellent source prioritization: provides a clear 4-tier hierarchy (X posts → articles → emails → docs) that guides agent behavior when multiple sources exist.
  • Well-defined extraction targets: lists 8 concrete stylistic dimensions (rhythm, compression, capitalization, parentheticals, questions, claim style, transitions, negations) instead of vague 'tone' guidance.
  • Strong domain defaults for Affaan/ECC: provides specific fallback voice characteristics (direct, concrete, mechanisms-first, skeptical) that give the agent a foundation when live sources are thin.
  • Hard bans section is actionable: lists 8 specific patterns to delete and rewrite rather than saying 'avoid clichés', enabling deterministic filtering.
  • Clear output contract: skill explicitly references a schema file and emphasizes operational reuse over literary criticism, focusing on agent usability downstream.
  • Persistence rules are well-scoped: reuse in same session, save only if user asks, never repo-track personal fingerprints without explicit consent.
  • Downstream integration points are documented: maps this skill to five downstream consumers (content-engine, crosspost, lead-intelligence, article writing, outbound).
  • Schema file is minimal and well-structured: uses short bullets and source-backed specifics rather than essay paragraphs, matching the skill's operational philosophy.
  • Use case triggers are well-defined: skill activates on specific intents (voice consistency, multi-channel adaptation, reusable style system) rather than generic content writing.
  • Reference to x-api shows integration with live tooling when available, but does not require it.
Model: claude-haiku-4-5-20251001Analyzed: Apr 20, 2026

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Version History

v1.1

Content updated

2026-04-20

Latest
v1.0

No changelog

2026-04-12

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