Unslop Humanize

When to Use

Use this skill when you need humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Use the deterministic or optional LLM workflow described below, subject to the implementation availability check.

Purpose

Rewrite natural-language memory files (CLAUDE.md, AGENTS.md, todos, preferences, docs) so they sound human-written: no sycophancy, no stock vocab, no five-paragraph essay shape, no tricolon padding. Everything technical stays exact: code blocks, inline code, URLs, file paths, commands, headings, tables.

Two modes:

• --deterministic — fast regex pass that strips canonical AI-isms and tightens tricolons. No API call, no ANTHROPIC_API_KEY needed. Best for batch processing and CI.
• LLM mode (default) — calls Claude (via Anthropic SDK or claude --print CLI fallback) to do a full rewrite that engineers burstiness, restructures performative paragraphs, and matches voice. Slower but better quality.

Humanized version overwrites the original. A FILE.original.md backup is written first. Re-run after editing the .original.md to regenerate.

Intensity levels (--mode)