using-superpowers

To enforce skill-first workflows for AI coding assistants, you must establish a consistent process for discovering and applying relevant skills before the agent takes action on tasks like feature planning or debugging. This prevents skipping available workflows.

AI agents skip available workflows during task planning when they lack a consistent skill discovery and invocation process. Establishing skill prioritization rules ensures agents check for applicable skills before answering questions or modifying projects.

Prioritize process-oriented skills before implementation-focused skills in debugging by applying skill invocation guidance that coordinates workflow steps, ensuring agents map skill actions to supported AI environments before modifying code.

Yes, you can map skill actions to specific coding assistants and agent platforms. The skill provides platform adaptation guidance to map actions to supported AI environments through reference documentation.

Yes, this skill discovery process works for multi-platform agent environments. It applies to software development scenarios involving feature planning, debugging, and implementation workflows across various coding assistants and agent platforms.

A limitation of using skill prioritization rules for AI agents is the strict requirement to adhere to platform-specific tool mappings provided through reference documentation, which may constrain spontaneous implementation actions.