learning-bridge

Convert developer learnings into Serena memory files with PHP-to-Java translation notes.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/rawhit-r/ai-files --skill learning-bridge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learning-bridge
Source: https://github.com/rawhit-r/ai-files/tree/main/.gemini/learning-bridge
Command: npx skills add https://github.com/rawhit-r/ai-files --skill learning-bridge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Captures and translates developer learnings into structured, actionable memories that can be recalled and reused for PHP-to-Java translation tasks and Spring Boot equivalents.

Core Features & Use Cases

  • Memory creation: turn a new concept learned from YouTube, NotebookLM, or courses into a persistent memory file.
  • PHP-to-Java mapping: generate concrete translation notes comparing PHP concepts with Java/Spring Boot equivalents.
  • Recall-ready templates: memory files include core concept, source, date learned, and both PHP and Java/Spring Boot sections.

Quick Start

Save a new learning memory using the template to the path .serena/memories/learning-{concept-slug}-{YYYY-MM-DD}.md and fill in the required sections.

Frequently Asked Questions about learning-bridge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I translate PHP concepts to Java and Spring Boot equivalents?

PHP-to-Java translation notes are generated by capturing developer learnings and converting them into structured memory files that compare PHP concepts with concrete Java and Spring Boot equivalents, including example code blocks for immediate reference.

What is the best way to save learnings from YouTube or NotebookLM as actionable developer memories?

Saving learnings from YouTube or NotebookLM as actionable memories involves using a recall-ready template that records the core concept, source, date learned, and category, persisting the file to a designated memory directory for future retrieval.

How do I structure a learning memory file for PHP-to-Java translation tasks?

A learning memory file for PHP-to-Java translation tasks is structured with required sections including the core concept, source, date learned, category, and dedicated PHP alongside Java/Spring Boot guidance blocks containing example code.

Can I use Serena memories to track Spring Boot guidance learned from courses?

Serena memories can track Spring Boot guidance learned from courses by converting the captured content into a persistent memory file that includes the core concept, source, date, and specific Java and Spring Boot translation mappings.

Does capturing PHP-to-Java mappings require any specific dependencies or components?

Capturing PHP-to-Java mappings requires no external dependencies or components, allowing developers to directly generate and save translation notes and structured memories without installing additional packages or configuring complex environments.