using-superpowers

You can enforce mandatory skill invocation by setting up pre-activation skill checks that evaluate every user request against relevant skills before generating a response. This ensures the conversational AI platform applies the correct tool use and reduces response drift.

Skill discovery in conversational AI is the process of evaluating user requests against available skills before responding. You need it when you want to improve consistency in clarifying questions and ensure appropriate task routing across diverse platforms.

To set up skill invocation, create a SKILL.md file with YAML frontmatter containing the name and description of your skill. This serves as the entrypoint that enables the system to load optional resources on demand and evaluate applicability.

Yes, pre-activation skill checks apply across diverse conversational AI platforms. They guide how to access and apply skills universally, ensuring any user request is evaluated for relevant skills before task execution or clarifying questions.

Response drift occurs because without upfront skill discovery, the conversational AI lacks mandatory invocation checks to route tasks correctly. Setting up skill usage at the start of every chat ensures appropriate tool use and prevents inconsistent responses.

Using mandatory skill invocation requires an SKILL.md entrypoint with YAML frontmatter for every conversation start. Optional resources load on demand, but the pre-activation check process must execute before any response or clarifying questions are generated.