using-superantigravity

To enforce a mandatory skill check before every response, you need a deterministic gating mechanism that validates frontmatter-defined skills. This protocol ensures the correct skill is loaded and applied to match the specific task context before generating any output.

Frontmatter skill loading determines execution mode by checking the loaded skill's context to guide the AI system. It selects planning mode for complex workflows or fast execution mode for direct tasks, reducing misapplied AI behavior through this deterministic gating mechanism.

Skill loading requires a valid SKILL.md file at the skill root containing the skill name and description in its frontmatter. Optional components such as scripts, references, and assets can be included alongside the SKILL.md file to support the skill's functionality.

Yes, the mandatory skill check applies across all task contexts to ensure proper skill loading. It provides a consistent workflow for skill discovery, announcement, and fallback behavior when no matching skill is found, maintaining deterministic AI behavior.

When no frontmatter-defined skill matches the task, the skill loading protocol triggers a fallback workflow. This ensures the AI system still executes a mandatory check and announces that no specific skill was found, preventing misapplied behavior.