using-superpowers

To ensure AI skill invocation happens before generating a response, you enforce a workflow policy that triggers a skill check at the start of every conversation. This loads and applies relevant skills before answering to prevent ad-hoc actions.

The best way to standardize skill invocation across all conversations is to apply a skill-first workflow policy. This ensures a standardized method for loading applicable skills before the AI replies, including when asking clarifying questions.

To structure YAML frontmatter for optional components, include the required name and description fields. You can then extend functionality by adding optional components such as scripts, references, and assets within the metadata.

You need to apply interaction guidelines for skill-first responses across all conversations. The policy ensures skills are identified and applied before any AI response, preventing ad-hoc actions and guiding consistent behavior throughout the workflow.

Yes, you can use YAML frontmatter to extend AI skills with custom scripts and references. The metadata requires a name and description, and supports optional components like scripts, references, and assets to extend functionality.