7. Writing & Documentation

Generates instructional e-learning content including explanations, examples, and module text for educational modules.

Provides a proven 8-section framework for creating high-converting landing pages with optimized copywriting structure.

Extracts, structures, and documents knowledge from Subject Matter Expert interviews for organized knowledge capture.

Creates user-focused PRDs by translating project ideas into clear requirements documentation, emphasizing outcomes over implementation details.

Orchestrates end-to-end content production from seed ideas or splits long-form content, coordinating research, writing, quality review, and visual generation.

Generates evidence-driven, data-visualized Twitter posts on cardiology using Q1 journal citations for educated non-specialist audiences.

Produces evidence-based medical newsletters for interventional cardiologists in Eric Topol's Ground Truths style using PubMed research and data-driven topic selection.

Provides concise, structured summaries of news articles capturing key points, context, bias, gaps, and open questions for quick comprehension.

Generates comprehensive technical documentation from codebases, adapting to Greenfield (business logic only) or Brownfield (business logic + technical implementation) contexts.

Converts reverse-engineered documentation into GitHub Spec Kit format, initializing directories and generating specifications for /speckit command integration.

Crafts detailed Chinese technical blog posts connecting deep-learning papers to code repositories, including TL;DR, method explanations, and reproduction guides.

Provides Japanese-language guidelines for Conventional Commits-style commit and PR messages, including PR summaries, review points, and issue references.

Fetches library documentation, code examples, and API references for JavaScript, Python, Go, and Rust with token-efficient filtering.

Generates evidence-based cardiology editorials and commentaries from landmark trials using PubMed citations and LLM analysis for thought leadership.

Creates evidence-based, data-driven long-form Twitter posts on medicine and cardiology, presenting clinical evidence with charts and journal citations for educated non-specialists.

Automates consistency checks and updates for documentation, versioning, and release artifacts across README, changelogs, and version files during API changes and feature releases.

Pre-publication quality assurance for cardiology thought leadership content, evaluating scientific rigor, voice authenticity, and credibility with actionable revision suggestions.

Generates complete YouTube scripts for cardiology channels, covering ideation, topic selection, and full script delivery.

Creates scientifically accurate, engaging cardiology tweets for thought leadership targeting patients and caregivers. Produces 10 tweets per batch with feedback-driven quality improvement.

Generates comprehensive medical/scientific textbook chapters with PubMed research, Vancouver citations, and Eric Topol-inspired prose for publication-ready output.

Identifies landmark cardiology trials and writes evidence-based editorials in Eric Topol's Ground Truths style for physician audiences.

Generates evidence-based cardiology newsletters in Eric Topol's Ground Truths style using PubMed research and data-driven topic selection for professional thought leadership.

Produces accurate, plain-language cardiology content for general audiences using PubMed citations, avoiding jargon while maintaining scientific integrity.

Creates counter-intuitive insights on value, wealth, and success using classical Chinese (文言文) and market-driven logic.