Use when building, redesigning, or polishing frontend screens, UI components, web apps, dashboards, landing pages, games, or interactive tools where visual quality, interaction feel, responsive layout, or product fit matters.
Use when writing, reviewing, pruning, or refactoring tests and there is risk of low-value tests, implementation-detail assertions, over-mocking, redundant coverage, brittle setup, or tests that do not protect a real public contract.
Use when the user explicitly asks for deep research / 深度研究 / 深入调研, or when they need evidence-driven, multi-source research for a decision, report, due diligence, current-state analysis, technical comparison, recommendation, or contested/high-stakes question.
Use when the user asks for a non-fiction book summary, 高保真读书笔记, 拆书, 导读, argument map, chapter study guide, application manual, reading route, critical evaluation, multi-book synthesis, or interactive book-learning dialogue.
Use when rewriting, editing, or drafting prose so it sounds specific, situated, and human rather than generic, over-polished, or AI-like. Works for Chinese and English prose, messages, essays, fiction, dialogue, memoir-like writing, public copy, and explanatory text. Focuses on voice, reader effort, scene logic, uneven human rhythm, and concrete context. Avoids template tone, consultant phrasing, fake warmth, excessive symmetry, moral summaries, and detector-gaming.
Find evidence-backed architecture deepening opportunities in a codebase. Use when the user wants to improve architecture, find refactoring opportunities, consolidate shallow or tightly-coupled modules, improve testability, or make a repository easier for AI agents to navigate.
Use when producing an equity, company, sector, industry, ETF, basket, or theme investment research report for internal discussion, especially when the user needs a testable thesis, valuation view, risk framework, investment plan, or review framework.
Use when working with GitHub from the command line, especially repositories, issues, pull requests, reviews, Actions, projects, releases, API calls, or GitHub-specific automation.