# Sail Trim Tuning

> Read user confusion/satisfaction signals and trim the next beat (more examples vs hold course). Use on multi-turn work. Scope boundary — mid-stream environment loop → `fermentation-feedback`; human OODA → `ooda-lean-loop`.

- Skill: `catcorner22/sail-trim-tuning` (Agent Skill)
- Install (CLI): `npx skillmds@latest add catcorner22/sail-trim-tuning`
- Raw SKILL.md: https://api.skillmd.com/api/skills/catcorner22/sail-trim-tuning/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: CatCorner22 (https://skillmd.com/u/catcorner22)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/catcorner22/sail-trim-tuning

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# Sail trim mid-response tuning

**#47** · **Domain:** Sailing · **Category:** advanced · **Difficulty:** 🟢 Low

## Core principle

Ease or sheet based on the telltales — not on the last weather report.

## AI problem addressed

The agent keeps the same verbosity after the user says they are lost or done.

## Implementation

confused/don't understand → add examples, simplify
thanks/great/perfect → hold course
else → no trim
Log the trim; do not rewrite history.

## Boundaries

- Prototype as prompt scaffold (🟢) before full pipeline middleware (🟡/🔴)
- Category router: **`ai-transfer-advanced`**
- Catalog: **`ai-transfer-ecosystem-primer`**
- Runtime plugin id: `sail_trim`