--- name: solo-humanize description: Strip AI writing patterns from text — em dashes, stock phrases, promotional inflation, performed authenticity, rule-of-three lists. Use when user says "humanize this", "make it sound human", "strip AI patterns", "clean up the copy", or after /content-gen or /landing-gen produces output. license: MIT metadata: author: fortunto2 version: "1.0.1" openclaw: emoji: "✍️" allowed-tools: Read, Write, Edit, Glob, Grep argument-hint: "[file-path or paste text]" --- # /humanize Strip AI writing patterns from user-facing text. Takes a file or pasted text and rewrites it to read like a human wrote it, without losing meaning or structure. ## Why this exists LLM output has recognizable tells — em dashes, stock phrases, promotional inflation, performed authenticity. Readers (and Google) notice. This skill catches those patterns and rewrites them. ## When to use - After `/content-gen`, `/landing-gen`, `/video-promo` — polish the output - Before publishing any user-facing prose (blog posts, landing pages, emails) - When editing CLAUDE.md or docs that will be read by humans - Standalone: `/humanize path/to/file.md` ## Input - **File path** from `$ARGUMENTS` — reads and rewrites in place - **No argument** — asks to paste text, outputs cleaned version - Works on `.md`, `.txt`, and text content in `.tsx`/`.html` (string literals only) ## Pattern Catalog ### 1. Em Dash Overuse (—) The most obvious AI tell. Replace with commas, periods, colons, or restructure the sentence. | Before | After | |--------|-------| | "The tool — which is free — works great" | "The tool (which is free) works great" | | "Three features — speed, security, simplicity" | "Three features: speed, security, simplicity" | | "We built this — and it changed everything" | "We built this. It changed everything." | **Rule:** Max 1 em dash per 500 words. Zero is better. ### 2. Stock Phrases Phrases that signal "AI wrote this." Remove or replace with specific language. **Filler phrases (delete entirely):** - "it's worth noting that" → (just state the thing) - "at the end of the day" → (cut) - "in today's world" / "in the modern landscape" → (cut) - "without further ado" → (cut) - "let's dive in" / "let's explore" → (cut) **Promotional inflation (replace with specifics):** - "game-changer" → what specifically changed? - "revolutionary" → what's actually new? - "cutting-edge" → describe the technology - "seamless" → "works without configuration" (or whatever it actually does) - "leverage" → "use" - "robust" → "handles X edge cases" (specific) - "streamline" → "cut steps from N to M" - "empower" → what can the user now do? - "unlock" → what's the actual capability? **Performed authenticity (rewrite):** - "to be honest" → (if you need to say this, the rest wasn't honest?) - "let me be frank" → (just be frank) - "I have to say" → (just say it) - "honestly" → (cut) - "the truth is" → (cut, state the truth directly) ### 3. Rule of Three AI loves triplets: "fast, secure, and scalable." Real writing varies list length. | Before | After | |--------|-------| | "Fast, secure, and scalable" | "Fast and secure" (if scalable isn't proven) | | "Build, deploy, and iterate" | "Build and ship" (if that's what you mean) | | Three bullet points that all say the same thing | One clear bullet | **Rule:** If you find 3+ triplet lists in one document, break at least half of them. ### 4. Structural Patterns **Every section has the same shape:** AI tends to write: heading → one-sentence intro → 3 bullets → transition sentence. Real writing varies section length and structure. **Hedging sandwich:** "While X has limitations, it offers Y, making it Z." → Pick a side. State it. **False balance:** "On one hand X, on the other hand Y." → If one side is clearly better, say so. ### 5. Sycophantic Openers - "Great question!" → (cut) - "That's a fantastic idea!" → (cut, or say what's specifically good about it) - "Absolutely!" → (cut if not genuine agreement) - "I'd be happy to help!" → (just help) ### 6. Passive Voice / Weak Verbs - "It should be noted that" → (cut, just note it) - "There are several factors that" → name the factors - "It is important to" → say why - "This can be achieved by" → "Do X" ## Process 1. **Read the input** — file path or pasted text. 2. **Scan for patterns** — check each category above. Count violations per category. 3. **Rewrite** — fix each violation while preserving: - Technical accuracy (don't change code, commands, or technical terms) - Structure (headings, lists, code blocks stay) - Tone intent (if the original was casual, keep it casual) - Length (aim for same or shorter, never longer) 4. **Report what changed:** ``` Humanized: {file or "pasted text"} Changes: Em dashes: {N} removed Stock phrases: {N} replaced Inflation: {N} deflated Triplets: {N} broken Sycophancy: {N} cut Total: {N} patterns fixed Before: {word count} After: {word count} ``` 5. **If file path:** write the cleaned version back. Show a diff summary. **If pasted text:** output the cleaned version directly. ## What NOT to change - Code blocks and inline code - Technical terms, library names, CLI commands - Quotes from other people (attributed quotes stay verbatim) - Numbers, dates, URLs - Headings structure (don't merge or split sections) - Content meaning — only rephrase, never add or remove ideas ## Edge Cases - **Short text (<50 words):** just apply stock phrase filter, skip structural analysis - **Already clean:** report "No AI patterns found. Text looks human." - **Code-heavy docs:** skip code blocks entirely, only process prose sections - **Non-English text:** apply em dash and structural rules (they're universal), skip English stock phrases