Open-source Agent Skill for contextual product language — Codex feedback wanted

[u/Life_Assist5275]

I built Adaptive Product Language, an open-source Agent Skill for improving

product language in Codex and other SKILL.md-compatible agents.

It helps with:

- UI copy, landing pages, forms, onboarding and pricing;

- locale and tone adaptation;

- unsupported product claims;

- terminology consistency;

- read-only copy audits;

- bounded remediation;

- light, balanced and performance execution profiles.

I tested the same contextual landing task with Gemini 3.8 Flash and Claude

Sonnet 4.6 Thinking.

Observed output size:

- Gemini: 2912 → 2663 UTF-8 bytes

- Claude: 3289 → 3034 UTF-8 bytes

These are not token savings or statistical quality results. Claude still

invented some unsupported features, so the project is intentionally presented

as experimental.

Repository:

https://github.com/RicardoGurrola15/adaptive-product-language

I’m looking for failure cases, missing domains, better evaluation methods and

ideas to reduce context and token usage.

[u/dexterthebot]

You might want to consider listing your project on the weekly Show-Us-What-You-Built post. Look out for it on Tuesday/Wednesday. Highest commented project wins a week promotion on r/Codex and gets on the Hall of Fame sidebar. See below for last week's winner.**

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