🍯 Honey (I Shrunk the AI)

Write less code and say less about it. Honey (I Shrunk the AI) by GreenPT is a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — making agents emit less code and less prose without losing correctness. It works with Claude (claude.ai and the API), Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, Windsurf, Cline, OpenClaw, Kiro, Kilo Code, and Hermes Agent. Three independent levers, applied reflexively:

1. Less code — YAGNI first. Walk a ladder (does it need to exist? → stdlib →

language native → existing dependency → one line → minimum block) and stop at the first rung that works. The cheapest line is the one you never write.

1. Less prose — drop the wind-up, the hedging, the narration of code that

already speaks for itself. Answer first.

1. Denser agent-to-agent handoffs — when the reader is another agent, not a

human, hand it the most token-efficient format it parses losslessly (compact / columnar JSON, or ESON). Cuts handoff size ~in half at zero loss of recovery. Fires only here — never as a user-facing answer.

Honey combines what Ponytail (minimal code) and Caveman (terse prose) do separately, then goes further:

• Auto-intensity — lite / full / ultra chosen reflexively from the

request, with no deliberation tax (it never spends reasoning tokens deciding how to comply — that would defeat the purpose on reasoning models).

• Safety carve-outs — input validation, error handling, auth, secrets,

migrations, deletes, and anything you explicitly asked for are *