gsupload-python

Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when "why" isn't obvious. Use when user says "write a commit", "commit message", "generate commit", "/commit", or invokes /caveman-commit. Auto-triggers when staging changes.

Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Trigger on "/caveman:compress <filepath>" or "compress memory file".

Quick-reference card for caveman modes and commands. Trigger on "/caveman-help", "caveman help", "what caveman commands", or "how do I use caveman".

Ultra-compressed code review comments. One-line findings with location, problem, fix. Trigger on "review this PR", "code review", "review the diff", or "/caveman-review".

Ultra-compressed communication mode. Trigger on "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or "/caveman".

Help users discover and install agent skills. Trigger on "find a skill", "is there a skill", "how do I do X", or requests to extend capabilities.

You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, decisions, and architectural rules in .brv/context-tree. Uses a configured LLM provider (default: ByteRover, no API key needed) for query and curate operations.