voice-extractor
by BrianRWagnervoice-extractor helps you turn authentic writing samples into a reusable voice guide with tone, rhythm, vocabulary, and rules. Use the voice-extractor skill for Brand Review, ghostwriter onboarding, or AI style training when you need a clear, documented writing voice instead of a one-off prompt.
This skill scores 78/100, which means it is a solid listing candidate for directory users: it has a clear use case, concrete workflow gates, and enough structure that an agent can trigger and execute it with less guesswork than a generic prompt. Users should still expect some adoption friction because the repository lacks supporting scripts, references, or install-command guidance.
- Clear trigger and use case: extracts a writing voice from samples for voice guides, ghostwriting, brand voice, and AI training.
- Operational workflow is explicit: supports quick/standard/deep modes and requires minimum input gates before extraction.
- Strong progressive disclosure: the SKILL.md and OpenClaw variant include sample thresholds, sample prioritization, and output expectations.
- No scripts, references, or install command are provided, so adoption depends entirely on reading the markdown instructions.
- Evidence is documentation-heavy rather than tool-backed, so output quality may rely on agent interpretation instead of enforced automation.
Overview of voice-extractor skill
What voice-extractor does
The voice-extractor skill helps you turn raw writing samples into a usable voice guide: tone, rhythm, vocabulary, confidence level, and repeatable rules. It is built for people who want an actual writing system, not just a one-off prompt. If you need voice-extractor for Brand Review, ghostwriter onboarding, or AI style training, this skill gives you a structured way to extract the signal from real samples.
Who it is best for
Use the voice-extractor skill when you already have authentic writing and need to preserve it across people, tools, or campaigns. It is a strong fit for brand teams, founders, editors, and content leads who need the model to sound like a specific person or company. It is less useful if you only want generic “make it sound better” rewriting.
What makes it different
The repo does not just ask for a style prompt. It uses a mode-based workflow (quick, standard, deep) and a context gate that forces you to gather enough sample quality before extraction. That matters because voice work fails when the inputs are thin, overedited, or off-brand. voice-extractor is designed to stop you from documenting the wrong voice.
How to Use voice-extractor skill
Install and open the right files
Use the voice-extractor install command shown in the repository workflow: npx skills add BrianRWagner/ai-marketing-skills --skill voice-extractor. After install, start with SKILL.md, then check SKILL-OC.md and VOICE-GUIDE-TEMPLATE.md for the working format. There are no scripts or support folders here, so the main value is in understanding the mode logic and template structure first.
Give it samples that actually represent the voice
The skill works best with at least 3 samples or 500 total words. Prioritize raw, natural writing over polished marketing copy: Slack messages, emails, transcripts, and casual notes usually reveal voice better than website pages. If you feed it only edited copy, the output will mirror the editor, not the speaker.
Turn a vague request into a good prompt
A weak request is: “Extract my voice.” A stronger one is: “Use voice-extractor to build a standard voice guide from 4 Slack messages, 1 email, and 1 LinkedIn post. Focus on brand review language, confidence level, and phrases to avoid.” Include purpose, sample types, and any known anti-patterns. That helps the skill choose quick, standard, or deep mode correctly.
Read the workflow in this order
First confirm sample adequacy, then identify the output mode, then extract the core traits, and finally map those traits into rules you can reuse. For voice-extractor usage, the practical sequence is: gather samples → classify quality → choose mode → generate guide → test on one rewritten piece. If the first pass feels too generic, the issue is usually input quality, not the skill.
voice-extractor skill FAQ
Is this better than a normal prompt?
Yes, when you need consistency. A normal prompt can imitate tone for one response, but voice-extractor guide output is meant to document the voice so it can be reused by humans and AI. If your goal is a durable brand or author voice, the skill is more reliable than ad hoc prompting.
Do I need a lot of writing to use it?
No, but you do need enough authentic material to avoid guessing. The repo’s minimum gate is 3 samples or 500 words, and under that you should expect a shallow read. If you only have a headline, a bio, or a landing page, the skill is probably not the right fit yet.
Is it beginner-friendly?
Yes, if you can collect samples and describe the intended use. The modes make the output easy to scale: quick for a fast snapshot, standard for a full guide, and deep for onboarding or team systems. Beginners usually get better results when they start with standard, then tighten the guide after one rewrite.
When should I not use voice-extractor?
Skip it when the content has no stable voice, when all samples are heavily edited, or when you only need a single marketing rewrite. It is also not the best choice if your real problem is message strategy rather than style documentation. For voice-extractor for Brand Review, use it after you already know the brand direction you want to preserve.
How to Improve voice-extractor skill
Feed it cleaner, more representative inputs
The biggest quality lever is sample choice. Use writing that reflects the real voice in different contexts, and include at least one sample with strong personality and one with practical explanation. If you want the guide to sound human, avoid giving it only homepage copy and polished press release text.
Specify what should and should not carry over
If you want a restrained brand voice, say so. If you want to preserve humor, urgency, or directness, say that too. The voice-extractor skill becomes more useful when you name confidence zones, banned phrases, and any topics that should sound more cautious or more authoritative.
Use the first draft as a test, not a final
After the first voice guide, apply it to one real piece of writing and check where it drifts. Common failure modes are overgeneral tone labels, recycled clichés, and missing “do/don’t” rules. Update the inputs, then rerun voice-extractor usage with tighter samples and a clearer purpose.
Ask for the output that matches the job
For quick editorial checks, ask for quick. For reusable style documentation, ask for standard. For team handoff or AI training, ask for deep. Matching the mode to the job is the fastest way to improve voice-extractor results without overcomplicating the prompt.