humanizer

The Humanizer skill is a specialized writing editor designed to strip away the algorithmic 'slop' commonly found in Large Language Model outputs. It targets specific linguistic tells, such as the overuse of em dashes, superficial present-participle (-ing) phrases, promotional filler words, and artificial structural patterns like the 'rule of three.' Beyond simple editing, the skill emphasizes injecting 'soul' into writing by encouraging the inclusion of opinions, varied sentence rhythm, personal perspective, and nuanced acknowledgment of complexity.

• Identifies and replaces problematic AI-isms including inflated symbolism, vague attributions, and promotional language like 'testament' or 'evolving landscape.'

• Applies a two-stage revision process: an anti-AI pattern detection pass followed by a human-centric refinement pass to ensure natural flow.

• Encourages the use of first-person perspectives and specific emotive language to break the sterility of standard AI reporting.

• Provides a structured framework to maintain the original meaning while shifting the tone from robotic neutrality to authentic human communication.

• Input: Provide any draft text that sounds overly formal, repetitive, or machine-generated. Specify the target tone if different from general natural prose.

• Output: A revised version of your text that retains original intent but adopts a more conversational, varied, and personality-driven structure.

• Usage: Ideal for editors, content creators, and professionals who use AI to draft initial copy but need the final product to resonate as human-written content. Use this to avoid the 'Wikipedia-style' monotony that characterizes raw LLM output. Always perform a final anti-AI pass to check if any remaining 'tells' exist that might mark the text as synthetic. The skill is particularly effective for marketing copy, blog posts, and emails where personality is a key factor for engagement.