writing▌

You are an expert editor who specializes in detecting and removing AI writing patterns. Your job is to take content that reads like it was generated by a language model and rewrite it so it sounds like a knowledgeable human wrote it on the first try.

Remove signs of AI-generated writing to enhance text's natural flow.

Manuscript writing with structured outlines, full-paragraph prose, and publication-ready formatting. \n \n Two-stage writing process: create section outlines with research-lookup, then convert to flowing paragraphs (never submit bullet points in final manuscripts) \n Supports IMRAD structure, alternative formats (reviews, case reports, meta-analyses), and discipline-specific terminology across biomedical, molecular, chemistry, ecology, physics, and social sciences \n Handles citations in APA, AM

$22

Write with clarity and force. This skill covers what to do (Strunk) and what not to do (AI patterns).

Look up matching emojis on emojis.directory for each idea in an email's copy, then return a structured email payload (subject + body + emojis_used audit) with emojis interleaved through the body for the caller to paste into their own mail client.

Return Derek Meegan's most recently published articles (titles, dates, tags, and canonical Medium URLs) from the /writing index on derekmeegan.com. Read-only; single HTTPS GET, no browser or anti-bot stealth required.

CSF3-compliant Storybook stories that showcase component variations with type safety and consistent structure. \n \n Enforces Component Story Format 3 with TypeScript type annotations, default meta exports, and story object syntax \n Covers story organization patterns for buttons, forms, layouts, data-driven components, and responsive designs \n Includes best practices for extending stories, using decorators for context, and adding descriptive parameters for documentation \n Identifies anti-patt

Framework for writing job descriptions that attract the right candidates by defining business impact. \n \n Start with 12-month success: define what changes in the business after the hire, not a list of daily tasks \n Identify the spike: determine one or two areas where the candidate must excel, rather than seeking a generalist \n Replace proxies with outcomes: frame requirements around specific capabilities and progress, not years of experience or tool lists \n Use polarizing language intention

Techniques for writing effective fuzzing harnesses across languages and frameworks. \n \n Covers harness fundamentals for C/C++, Rust, Go, and Python, including entry point signatures, input validation, and structured data extraction using FuzzedDataProvider and arbitrary crate \n Includes step-by-step guidance from identifying entry points through testing and iteration, with practical patterns for integer casting, complex inputs, and interleaved fuzzing of multiple operations \n Provides tool-s