Description
#AI Research #Open Source Skill #Investment Analysis #Industry Chain Research
Serenity.skill is an open-source AI Skill designed to enable AI to analyze according to a framework that emphasizes industry research and fundamental verification, rather than just producing vague conclusions. It standardizes the research process of hotspot analysis → system changes → industry chain disassembly → identification of scarce links → company evidence verification, helping users efficiently organize the logic of investment directions such as stocks, ETFs, and funds. It is important to note that no analysis result can guarantee future returns and should only be used as a reference for investment research.
- Industry Chain Disassembly: Automatically organizes the upstream and downstream relationships of the industry, identifies key links and supply-demand changes, assisting in finding sub-sectors with long-term competitive advantages.
- Identification of Scarce Links: Combines factors such as the difficulty of industry expansion and supply constraints to help discover industry nodes that may possess sustained competitiveness.
- Company Evidence Verification: Conducts cross-verification around publicly available information such as business, orders, finances, and announcements of listed companies, reducing reliance on market sentiment for analysis.
- Stock and Fund Direction Research: Assists in screening stocks or fund directions with relatively clear upward logic and strong fundamental support based on industry logic for further user research.
- AI Automatic Deduction: Entrusts the complex investment research process to AI for automatic execution, improving industry research efficiency.
- Open Source Ecosystem: As a GitHub open-source Skill, it can be integrated with AI Agents or automation platforms that support Skills.
Software Features
- Serenity Research Framework: Breaks down the industry research process into multiple analytical steps, gradually deducing from hotspot events to the company level, forming a complete analysis chain.- Industry Chain Disassembly: Automatically organizes the upstream and downstream relationships of the industry, identifies key links and supply-demand changes, assisting in finding sub-sectors with long-term competitive advantages.
- Identification of Scarce Links: Combines factors such as the difficulty of industry expansion and supply constraints to help discover industry nodes that may possess sustained competitiveness.
- Company Evidence Verification: Conducts cross-verification around publicly available information such as business, orders, finances, and announcements of listed companies, reducing reliance on market sentiment for analysis.
- Stock and Fund Direction Research: Assists in screening stocks or fund directions with relatively clear upward logic and strong fundamental support based on industry logic for further user research.
- AI Automatic Deduction: Entrusts the complex investment research process to AI for automatic execution, improving industry research efficiency.
- Open Source Ecosystem: As a GitHub open-source Skill, it can be integrated with AI Agents or automation platforms that support Skills.
