using-superpowers

Mandatory skill-check protocols enforce disciplined AI workflows by requiring coding agents to evaluate available skills and adopt a structured, plan-driven approach before executing any development, debugging, or planning request.

The best way to stop an AI agent from rationalizing its way out of best practices is to implement a mandatory skill invocation protocol that halts the agent to evaluate skill applicability, ensuring defined workflows are followed before responding to user requests.

You can ensure your AI agent uses a brainstorming skill before writing code by applying a workflow prioritization hierarchy that mandates the agent evaluate and invoke applicable skills to define a plan before any implementation begins.

A clear hierarchy for prioritizing AI agent instructions places user instructions first, followed by defined automation skills, and finally the default system prompt, ensuring disciplined, plan-driven execution of coding tasks.

You need to apply a skill-check protocol for your AI automation workflow during any interaction where a coding agent is tasked with development, debugging, or planning, requiring the agent to evaluate skill applicability before responding.

Yes, you can apply TDD and YAGNI principles using a structured AI workflow by invoking a mandatory skill-check protocol that forces the agent to define a plan through brainstorming before writing any implementation code.