AI Paper Master
Description
Recommended by
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.
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.
Related Skills
View all
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.
Paper Quick Note Generator
A 30-page paper due for tomorrow's group meeting; 40 papers to review for literature survey, each read from scratch, only to forget key points and lose that quotable line. Half of research time is spent on 'reading.' Paste an arXiv link or paper text and instantly receive a structured speed-reading note ready for use. ✨ Core Capabilities 1. Six-part speed-reading framework: Research Question / Core Method / Main Innovation / Key Conclusion / Limitations & Doubts / One-Sentence Summary 2. Automatically extracts 'quotable quotes' with location markers; copy directly for literature reviews. 3. Contribution breakdown: What's new compared to existing work, explained in plain language. 4. Critical perspective: Methodological flaws, overclaims, reproducibility risks pointed out point by point. 5. Optional outputs: Group meeting presentation outline / literature card / draft review paragraph / multi-paper comparison table. 6. Chinese-English terminology glossary, not machine-translated. 📱 Use Cases Graduate student thesis proposals and literature reviews, group meeting paper sharing, researchers tracking frontiers, tech professionals diving into technical papers; output can be posted on Zhihu or WeChat public accounts as academic content to attract readers. Make papers thinner—so you spend more time thinking than slogging through text.
ResearchFirst-Principles Insight
This skill helps you see through complex surfaces and get back to the most fundamental physical facts and logical origins. Whether you're dealing with a tricky business challenge, an abstruse theoretical concept, or a disruptive innovation that must begin from scratch, it applies rigorous logical deconstruction to help you question assumptions that are taken for granted, identify the key elements that drive a system, and distill penetrating, essential insights. During analysis, it guides you through a complete thinking exercise that moves from deconstruction, to questioning, to reconstruction. By scanning across dimensions such as causality, systems, and value, it precisely distinguishes phenomena from essence, filters out distracting secondary information, and pinpoints the key leverage points of a problem. This approach not only helps uncover root causes, but also frees you from fixed mindsets and allows you to build simpler, more scientific frameworks for understanding. Building on deep essential findings, this skill also offers a systematic strategy for generating innovation. It can leverage multiple thinking modes, such as combinatorial innovation, constraint inversion, and analogy transfer, to tailor diverse solutions for you, from incremental improvements to cross-domain integration. In the end, you'll receive a structured report containing the deconstruction process, core questions, essential insights, and actionable recommendations, giving you a solid logical foundation for decisions in a complex and ever-changing environment.
AI Paper Master
Description
Recommended by
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.
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.
Related Skills
View allAI 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.
Paper Quick Note Generator
A 30-page paper due for tomorrow's group meeting; 40 papers to review for literature survey, each read from scratch, only to forget key points and lose that quotable line. Half of research time is spent on 'reading.' Paste an arXiv link or paper text and instantly receive a structured speed-reading note ready for use. ✨ Core Capabilities 1. Six-part speed-reading framework: Research Question / Core Method / Main Innovation / Key Conclusion / Limitations & Doubts / One-Sentence Summary 2. Automatically extracts 'quotable quotes' with location markers; copy directly for literature reviews. 3. Contribution breakdown: What's new compared to existing work, explained in plain language. 4. Critical perspective: Methodological flaws, overclaims, reproducibility risks pointed out point by point. 5. Optional outputs: Group meeting presentation outline / literature card / draft review paragraph / multi-paper comparison table. 6. Chinese-English terminology glossary, not machine-translated. 📱 Use Cases Graduate student thesis proposals and literature reviews, group meeting paper sharing, researchers tracking frontiers, tech professionals diving into technical papers; output can be posted on Zhihu or WeChat public accounts as academic content to attract readers. Make papers thinner—so you spend more time thinking than slogging through text.
ResearchFirst-Principles Insight
This skill helps you see through complex surfaces and get back to the most fundamental physical facts and logical origins. Whether you're dealing with a tricky business challenge, an abstruse theoretical concept, or a disruptive innovation that must begin from scratch, it applies rigorous logical deconstruction to help you question assumptions that are taken for granted, identify the key elements that drive a system, and distill penetrating, essential insights. During analysis, it guides you through a complete thinking exercise that moves from deconstruction, to questioning, to reconstruction. By scanning across dimensions such as causality, systems, and value, it precisely distinguishes phenomena from essence, filters out distracting secondary information, and pinpoints the key leverage points of a problem. This approach not only helps uncover root causes, but also frees you from fixed mindsets and allows you to build simpler, more scientific frameworks for understanding. Building on deep essential findings, this skill also offers a systematic strategy for generating innovation. It can leverage multiple thinking modes, such as combinatorial innovation, constraint inversion, and analogy transfer, to tailor diverse solutions for you, from incremental improvements to cross-domain integration. In the end, you'll receive a structured report containing the deconstruction process, core questions, essential insights, and actionable recommendations, giving you a solid logical foundation for decisions in a complex and ever-changing environment.
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