using-superpowers

To structure AI collaboration, you must invoke relevant skills before generating any response. This approach requires understanding skill invocation rules, applying platform-specific access methods, and prioritizing user instructions over default system prompts to achieve efficient AI collaboration.

The priority hierarchy for AI skill invocation places user instructions first, followed by specific superpowers skills, and finally default system prompts. This hierarchy ensures that outcome-focused user commands override rigid or flexible process skills during AI interactions.

Adapting skill invocation across different AI platforms requires understanding platform-specific invocation rules and access methods. You must identify how each platform exposes skills, apply the correct invocation syntax, and ensure the AI recognizes the skill before proceeding with the task.

You should not use default system prompts when explicit user instructions are provided, because user instructions focusing on desired outcomes take priority. Avoid rationalizations that bypass skill invocation; always check if a relevant process or implementation skill applies first.

Rigid skills enforce strict process rules that must be followed exactly, while flexible skills provide adaptable guidelines for AI collaboration. Distinguishing between them ensures you apply the correct skill priority and invocation behavior for your specific task.

No, user instructions should focus on desired outcomes rather than detailing the process. The skill invocation framework handles the process by selecting and triggering the appropriate rigid or flexible skills needed to achieve your specified results.