brand-voice
affaan-m/everything-claude-code
Extract and reuse a consistent writing voice from real source material across all content and outreach.
What is brand-voice?
Build a durable voice profile by analyzing real posts, essays, emails, or docs from a known author or brand. Then apply that profile consistently to new content, outreach, and social workflows instead of defaulting to generic AI writing or re-deriving style each time.
- Extract rhythm, sentence length, compression style, capitalization norms, and tone patterns from 5–20 representative source samples
- Produce a structured VOICE PROFILE artifact that downstream skills can reuse in the same session
- Separate public launch voice from private working voice when source material clearly splits
- Pull live X posts via x-api if available to ensure recent, authentic material
- Identify hard bans (fake curiosity, forced lowercase, LinkedIn clichés) and rewrite violations
How to install brand-voice
npx skills add https://github.com/affaan-m/everything-claude-code --skill brand-voice- 5–20 representative source samples (posts, essays, emails, docs, or site copy)
- Optional: x-api access to pull live X posts for recent material
- Optional: workspace location or memory surface if saving profile as a durable artifact
How to use brand-voice
- 1.Gather 5–20 representative samples from the strongest available sources (X posts, essays, emails, product docs, site copy)
- 2.Prioritize recent material unless the user indicates older writing is more canonical
- 3.Separate public launch voice from private working voice if the source set clearly splits
- 4.Extract patterns: rhythm, sentence length, compression, capitalization, parenthetical use, question frequency, claim sharpness, use of numbers/mechanisms, transitions, and what the author avoids
- 5.Produce a structured VOICE PROFILE block following the voice-profile-schema.md format
- 6.Reuse the profile across related tasks in the same session or save it to workspace if durability is needed
Use cases
- Write product launch posts, threads, or emails in a founder's authentic voice without generic AI tone
- Adapt a known author's style across X, LinkedIn, email, and internal docs consistently
- Build a reusable voice system for a team or brand instead of one-off mimicry per task
- Maintain voice consistency across content-engine, crosspost, and lead-intelligence workflows
- Extract and preserve a personal or brand voice fingerprint for long-term reuse
- Founders and authors shipping content across multiple channels
- Content teams needing voice consistency without manual style guides
- Outbound and sales teams writing personalized cold or warm outreach
- Product and marketing teams adapting brand voice to different platforms
- Anyone wanting to avoid generic AI writing tropes and LinkedIn clichés
brand-voice FAQ
Start with what you have. Even 2–3 strong pieces can establish baseline patterns. If live X access is available, pull recent posts to fill gaps. If sources are very thin, the skill can suggest ECC defaults (direct, compressed, concrete, specifics over adjectives) unless newer material overrides them.
No. Use only real, original material from the actual author or brand—posts, essays, emails, docs, or site copy. Generic platform exemplars will not capture authentic voice and will dilute the profile.
Yes. If you want a durable artifact, the profile can be saved to your workspace or memory surface. Do not create repo-tracked files storing personal voice fingerprints unless you explicitly request that.
Fake curiosity hooks, 'not X, just Y' framing, 'no fluff' claims, forced lowercase, LinkedIn thought-leader cadence, bait questions, 'Excited to share,' generic founder-journey filler, and corny parentheticals.
content-engine, crosspost, lead-intelligence, and any article or launch writing, cold or warm outbound across X, LinkedIn, and email. If another skill has a partial voice capture, this skill is the canonical source of truth.
Full instructions (SKILL.md)
Source of truth, from affaan-m/everything-claude-code.
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. metadata: origin: ECC
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:
- recent original X posts and threads
- articles, essays, memos, launch notes, or newsletters
- real outbound emails or DMs that worked
- product docs, changelogs, README framing, and site copy
Do not use generic platform exemplars as source material.
Collection Workflow
- Gather 5 to 20 representative samples when available.
- Prefer recent material over old material unless the user says the older writing is more canonical.
- Separate "public launch voice" from "private working voice" if the source set clearly splits.
- If live X access is available, use
x-apito pull recent original posts before drafting. - 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 PROFILEacross 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-enginecrosspostlead-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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