rxa3c/chat2skill: Extract project memory and reusable skills from assistant sessions

`rxa3c/chat2skill` is a plugin designed to address the issue of corrections, preferences, and project facts in assistant sessions failing to be stably accumulated. Its core functions are "post-session extraction" and "pre-session injection": by analyzing session signals, it distills information into local SQLite memory and `SKILL.md` skill files, automatically retrieving and injecting it in subsequent sessions. The plugin supports LLM mode (Proposer/Generator/Judge flow) and non-LLM mode (keyword detection). Data is stored locally, while the cloud is used solely for stateless execution and claims not to store data. Typical extraction requires approximately 4 LLM calls and is triggered only upon detecting correction or constraint signals. Documentation suggests it is best suited for Claude Code, Codex, and Cursor, while other agents require lifecycle support.