using-superpowers

To automatically invoke skills, you need a meta skill that enforces mandatory skill discovery before any AI response or action. This prevents workflow violations by scanning for applicable skills and establishing a clear instruction hierarchy where user inputs override defaults.

Agent governance enforces strict instruction priority to maintain workflow discipline across conversational contexts and code generation. It ensures mandatory skill invocation happens before any action, applying priority rules where user instructions supersede skill defaults but skills override system prompts.

Yes, skill invocation can be enforced across multiple CLI environments including Claude Code, Codex, Copilot CLI, and Gemini CLI. The system provides platform-specific tool mappings and loading mechanisms to read SKILL.md files and apply instruction priority rules consistently.

Your AI agent misses best practices during debugging sessions because it lacks automatic skill discovery before responding. Forgetting to invoke relevant skills leads to inconsistent workflows and incorrect task execution, which requires a meta skill to scan for applicable skills before any action.

When user instructions conflict with skill defaults in an automated workflow, strict priority rules dictate that user instructions supersede skill defaults. However, the active skills still override the base system prompts to maintain agent governance and workflow discipline.

To start using automation rules for skill checks, configure the agent to immediately scan for and invoke any applicable skill before responding to any request. This applies to all conversational contexts and code generation tasks, requiring platform-specific SKILL.md loading mechanisms.