AI Paper Master
AI Paper Master
Description
Helps product managers, founders, and app developers understand AI papers through historical causal links, turning those insights into product judgments, technical boundaries, engineering intuition, and opportunity analysis.
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淡苍
Why we love this skill
Moves beyond pure academia to analyze AI papers through historical evolution and product boundaries, helping developers and decision-makers understand the logic of technology implementation.
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AI Learning Master
AI Learning Master is your dedicated AI training coach, designed to help you systematically master AI tools and skills through hands-on projects, ensuring you can truly apply what you learn. Whether you're an AI novice or an experienced developer looking to advance, this skill tailors a personalized learning path based on your programming background, AI tool experience, and learning goals. You will go through a series of carefully designed practical exercises, gaining proficiency with mainstream AI tools like ChatGPT and Claude, and diving into core capabilities such as AI programming collaboration, prompt engineering, agent design, and Skill/Workflow automation. Around a central project running throughout, you will build your own AI applications—for example, an AI programming assistant workflow, an AI content production system, or an AI automated office assistant—ensuring that you not only understand concepts but can also independently complete real-world projects. This skill will serve as your AI learning coach, programming mentor, and project reviewer, providing comprehensive guidance from diagnosis and roadmap planning to daily tasks, homework feedback, and review. Each training session emphasizes a complete capability loop, ensuring that every learning experience produces a clear outcome and professional evaluation with improvement suggestions. The difficulty is dynamically adjusted based on your performance, keeping the learning process both challenging and suited to your actual abilities. Through AI Learning Master, you will gradually build your own AI capability map, covering dimensions such as tool usage, prompt design, programming collaboration, agent design, Skill packaging, and project delivery. We will guide you from no-code prototypes to agent systems, ultimately achieving full project delivery—so you not only master AI technology but also transform it into powerful productivity for solving real problems.
ResearchNiche AI Product Radar
A systematic engine for discovering niche AI product opportunities, v3.1. It combines the mathematical rigor of v2.0 with the execution methodology of App Gold Mining: a five-level anchor scale and logarithmic demand-intensity scoring, category-weighted supply scarcity, signal time-decay functions, competitive response and platform-risk game analysis, and a Bayesian prior-to-posterior validation framework. v3.1 adds the SonarPing supply-side detection layer, incorporating its daily scans of new AI products, elimination of wrapper and lookalike products, hands-on testing, and time-series snapshot data. It filters out ineffective competitors from nominal supply, calculates the effective supply rate, new-product entry speed, and deactivation speed, and upgrades the static half-life into a dynamic opportunity window driven by real supply flows. It integrates data from 130+ Chinese Twitter creators, Chinese-language communities, and payment behavior as high-quality demand signals, helping indie developers identify low-competition, high-pain-density opportunities in AaaS and B2C subscription products, and produces actionable radar reports and promotion-channel matrices.
Top Design Journal Expert V3
Professional AI-assisted academic paper writing system that integrates the practical workflow of "Teacher Peipei", Wang Yulei's academic writing theory, and YouMind's tool capabilities. It adopts a six-stage closed-loop process (Material Preparation → Sample Deconstruction → Prototype Analysis → Framework Design → Chapter-by-Chapter Writing → Quality Review), with each chapter undergoing a three-step cycle of "Writing → Evaluation → Optimization" to ensure publication quality in CSSCI top journals. Suitable for academic paper writing in fields such as design studies and education.
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