Hiro-Inagawa

Write Like Me — AI skill for Claude Code

AI community

Measures how you write and builds a voice profile, then enforces it with a deterministic checker: em dashes, filler, hedges, and AI tells are caught by code, not by asking the model to be careful.

How to install Write Like Me

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Hiro-Inagawa/write-like-me and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Write Like Me does

Measures how you write and builds a voice profile, then enforces it with a deterministic checker: em dashes, filler, hedges, and AI tells are caught by code, not by asking the model to be careful. Multiple named voices, eval harness with golden tests, no dependencies.

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README

![Write Like Me. Rows of robots writing at desks under a neon sign reading WRITE LIKE ME](docs/write-like-me.webp)

[![checks](https://github.com/Hiro-Inagawa/write-like-me/actions/workflows/checks.yml/badge.svg)](https://github.com/Hiro-Inagawa/write-like-me/actions/workflows/checks.yml)

**Try it in ten seconds.** Clone the repo and run the checker on any Markdown or text file. No profile, no installs, Python 3.8+ only:

python scripts/voice_check.py your-draft.md

It prints every em dash, filler phrase, hedge, and AI tell with a line number and a fix, then a verdict. Building your own voice profile comes after, if you want it.

A Claude Code skill that analyzes how you write and generates a personalized voice profile for writing and revising prose. It uses linguistic and psychological measurement methods rather than subjective descriptions to capture your actual style from a corpus of your own writing.

**New in v2 (September 2026).** The skill now ships a deterministic checker. After a draft is written, `python scripts/voice_check.py draft.md --profile voices//profile.json` reports every violation with a line number and a fix, and exits non-zero on a hard rule, so the voice is enforced by code instead of by asking the model to be careful. Each voice also gets a machine-readable `profile.json` and a golden test set, and an eval harness gates every rule change. Details are in the sections "Checking a draft" and "Evaluating the checker" below, and in [CHANGELOG.md](CHANGELOG.md).

The same skill supports multiple voices. You can build one from your primary writing register, another from a different register, and another from an author whose style you want to study, and switch between them within the same skill.

HOW IT WORKS

The skill has two modes.

When no voice is built yet, it runs a 7-stage analysis that discovers your corpus, extracts and filters the text, measures approximately 50 stylometric features per register, mines rules from the mea