Leo-stone-dot
7 verified skills
AI Researcher
Deep research on any topic with structured analysis, source evaluation, and synthesis. Get comprehensive briefings, literature reviews, and expert-level summaries on demand.
data-ai
humanizer-zh
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。
data-ai
research
为给定问题挑选“最适合回答的人”的专家角色，并用该角色给出回答（含选择理由与行动清单）
research
reader-centric-rewrite
读者价值审计 + 最小改写：逐段识别“解决读者问题(A)”与“展示作者(B)”，按信息量加权给占比，并将 B 段落改写为服务读者的可替换版本。 适配长文（可分批处理），强调不新增事实、尽量不改含义与语气。
documentation
portfolio-cashflow-modeling
Use when 需要计算/解释投资组合的年化收益率、月度现金流与长期（如30年）资产路径，且包含固定支出与不确定收入（自由职业波动、随机收入、回款集中）并需要给出耗尽概率与分位数（P10/P50/P90）
data-ai
challenge
改进你的问题
tools
rewrite-problem
Transforms vague or ill-defined questions into clear, structured, and actionable "good problems" by extracting the core objective, identifying comparison dimensions, and applying structured reasoning. Use when a user wants to compare multiple options, evaluate trade-offs, make a decision between alternatives, or asks questions like "which is better", "pros and cons", "help me decide", "how should I choose", or "what are the trade-offs". Produces a rewritten problem statement with explicit comparison dimensions, a structured evaluation framework, and a decision-ready output format.
development