# skill

Open any agent skill and it's stuffed with 'be more detailed,' 'be thorough'—lines that look diligent but don't change the model's behavior at all. Matt Pocock names the no-op trap, plus how to spot a dead instruction versus one that actually pulls its weight.

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 released git-guardrails, a Claude Code skill that uses a PreToolUse hook to intercept dangerous git commands like push, reset --hard, and clean -f. It is a practical YOLO-mode safety rail for agents in Docker Sandbox.