English Translation Pro

Problem

The translate-pro entry sounds like an English translation skill, but the current SKILL.md reads more like a guide for creating Agent skills. The concrete issue it addresses is not one-off translation formatting; it is the recurring engineering problem of producing agent skills that are bloated, duplicated, or fragile: too much context, repeated code, inconsistent paths, and rigid workflows for open-ended tasks. For engineers, these choices quickly increase token cost and make maintenance harder.

How It Works

The skill breaks “building a skill” into an executable sequence: confirm trigger cases with concrete examples, plan reusable scripts/, references/, and assets/, initialize the directory with init_skill.py, edit SKILL.md, then package it. The core principle is progressive disclosure: name and description drive triggering, the body stays lean, and detailed schemas, policies, or examples are moved to references/ and loaded only when needed. It also calibrates degrees of freedom: deterministic operations should use scripts, while context-dependent decisions stay as text guidance.

Boundaries

It is useful for structuring agent skills, organizing bundled resources, and controlling context usage. It is not evidence of a general-purpose translation engine. If the target is English localization, terminology consistency, or style-preserving translation, the provided material lacks a dedicated translation workflow and would need glossaries, example pairs, and output rules.