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Extract and document someone's authentic writing voice from samples.
Passed 16 of 22 test cases with the skill, and 10 of 22 without it.
and 6 more in the full report
8 fixed8 passed either way4 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
If a user requests quick mode (`--quick`) on a 400-word sample, how many signature phrases, anti-pattern rules, and energy descriptors should be delivered?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies extracting 10 signature phrases, 3 anti-patterns, and a 1-sentence energy descriptor in quick mode. | Missed | Passed |
The instructions your model reads when the skill loads.
AI-generated content all sounds the same. The fix isn't better prompts — it's teaching the AI how you actually communicate.
This skill extracts your communication DNA from writing samples and produces a Voice Guide: documented, tested, and ready to use.
Detect from context or ask: "Quick voice snapshot, full Voice Guide, or full guide with examples?"
| Mode | What you get | Best for |
|---|---|---|
quick | Top 5 voice characteristics + 3 do/don't rules | Fast style reference, single piece |
standard | Full Voice Guide: tone, vocabulary, rhythm, structure | AI training, ghostwriting, brand documentation |
deep | Full Voice Guide + 10 sample rewrites + writing rules checklist + AI training examples | Onboarding writers, building a brand voice system |
Default: standard — use quick if they just need a fast reference. Use deep if they're onboarding a ghostwriter or building a content team.
Before extracting, collect:
Sample priority (most → least authentic):
Minimum sample gate: If samples total under 500 words, stop:
"These samples are too short to extract reliable patterns. Please add 2-3 more — emails, Slack messages, or transcripts work best. The messier and more casual, the better."
test cases passed, vs 10 / 22 without
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