Sourabh-Majhee commented on issue #16156:
URL: https://github.com/apache/dubbo/issues/16156#issuecomment-4164570309

   Hi @RainYuY ,
   
   I have submitted a GSoC 2026 proposal for this idea: “Convert Dubbo 
Capabilities into AI Skills.” I wanted to briefly align here as well.
   
   My approach focuses on building a structured SKILL.md-based knowledge layer 
(inspired by Claude Code skills) that covers Dubbo’s core modules, including 
RPC, Remoting, Registry, Cluster, Config, and Metadata. Each skill is designed 
to be self-contained and optimized for LLM consumption, with clear 
architectural explanations, well-defined SPI extension points, and practical 
guidance for real-world developer scenarios such as usage, debugging, and 
extension.
   
   In addition, I plan to:
   
   * Generate a module dependency graph (using Maven) to guide skill 
composition and cross-referencing
   * Incorporate benchmark-based validation, comparing the quality of 
AI-assisted responses (e.g., Copilot/Claude) before and after loading the skills
   * Optionally demonstrate a prototype workflow where AI tools utilize these 
skills to assist with Dubbo configuration or troubleshooting
   
   From your earlier response, I understand that effectiveness and a 
documentation-style structure are key priorities, which aligns well with this 
approach.
   
   I would greatly appreciate any feedback on whether this direction aligns 
with Dubbo’s expectations, or if there are specific modules or areas you would 
recommend prioritizing.
   
   Thank you.
   


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