Somebody else decided what good looks like, and it shipped with the skill you installed. Here's the guide to fix it.
A practical test for deciding when to keep a shared skill, rebuild it around your judgment, or remove it.
TL;DR
- Installing an AI skill means adopting the original author's decisions about tools, shortcuts, and quality standards.
- A skill's effectiveness depends on whether its underlying decisions match the user's definition of good work.
- AI models have limitations on how many skills they can access, and performance may decline as the number of skills increases.
- A practical testing method is proposed to assess if an installed skill should be kept, forked, or deleted.
- Users should be able to evaluate skills to ensure they improve, rather than degrade, output quality.