# skill

Vaibhav Srivastav's Codex prompt is interesting because it describes an agent maintenance loop: look back at recent work, find repeated workflows, and package only high-confidence patterns into Skills, automations, or subagents. It is agent dreaming: turning busy work into capability.

Yage AI argues that OpenAI and Cursor are both moving from Skills toward Plugins, but for different reasons: OpenAI is building an execution-layer moat, while Cursor is building an editor-workflow moat. This gu-log rewrite explains why Skills create value but often fail to capture it.

Nick Baumann isn't chasing MCP or the next protocol. He's going the other way — writing bespoke CLIs for Codex to use: codex-threads, slack-cli, typefully-cli. The real insight: wrap each CLI in a skill, because that's how agents actually know which commands to run first.

Matt Pocock (TypeScript guru, Ralph Loops evangelist) released a Claude Code skill: git-guardrails. It uses a PreToolUse hook to intercept dangerous git commands (push, reset --hard, clean -f, etc.), so you can safely let your AI agent run in YOLO mode inside Docker Sandbox without worrying about it blowing up your git history. One command to install, more reliable than any prompt engineering.