voice-calibration

Solid

Interactive voice profiling — asks writing prompts in terminal, collects live responses, and distills a reusable voice profile for content generation. Use when calibrating tone for social posts, newsletters, or any written output.

AI & Automation 3 stars 0 forks Updated 5 days ago MIT

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Skill Content

# Voice Calibration Build a voice profile from live writing samples typed in the terminal. The profile captures sentence rhythm, rhetorical habits, vocabulary tendencies, and tonal signatures — then saves it as a reusable reference for future content generation. ## Why Live Samples AI-assisted writing blends the author's voice with the model's defaults. To capture authentic voice, every sample must be typed fresh by the user in the terminal with no AI drafting or editing. Quantity matters less than authenticity — 6-8 raw responses are enough. ## Workflow ``` Round 1 (General) → 4 prompts — capture base voice Round 2 (Domain) → 4 prompts — capture subject-matter tone Analysis → extract patterns Voice profile → save to file ``` --- ## Round 1: General Voice (4 prompts) Ask these one at a time using AskUserQuestion. Wait for each response before asking the next. Do NOT paraphrase or suggest answers. ### Prompt 1 — Opinion > You have 3-4 sentences. What's something most people in your field get wrong? ### Prompt 2 — Explanation > Explain something you understand deeply to someone who knows nothing about it. 3-5 sentences. ### Prompt 3 — Reaction > Think of something you read recently that made you stop and think. What was it, and what was your reaction? Write it as if you're telling a friend. ### Prompt 4 — Contrast > Describe two things that most people think are similar but you think are fundamentally different. 2-4 sentences. --- ...

Details

Author
augchan42
Repository
augchan42/inkstone
Created
5 months ago
Last Updated
5 days ago
Language
HTML
License
MIT

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