What problem does it solve? It turns an existing title, outline, and fact base into a deep technical article draft for WeChat official accounts, ensuring every number is sourced or marked as an estimate and every comparison uses consistent baselines. ## Core Features & Use Cases - Principle-first explanation: Breaks a technology down to the minimum prerequisite concepts, using accurate analogies without replacing the underlying mechanism. - Reproducible calculations: Shows formulas, inputs, units, and results for performance or cost metrics so readers can recompute at least one key figure. - Fair comparison frameworks: Compares against prior solutions or competitors under identical conditions, and separates measured results, vendor claims, author estimates, and author judgment. - Use Case: Given a topic, angle, target readers, and a fact base about a new database engine, produce a 2000-character WeChat draft that explains its architecture, recomputes its claimed throughput gains, and states applicable limits. ## Quick Start Use the wechat-mp-tech-deep skill to write a deep technical article draft from my prepared title, outline, and fact base about this technology topic.
