using-skills

An AI workflow framework enforces hard routing rules to prevent execution before brainstorming, determining the correct sub-skill for each message and maintaining active context across sessions via a documented follow-up protocol.

To keep an AI agent aware of workflow rules across conversations, apply a meta-guide skill that provides active context, enforces routing pipelines, and triggers follow-up message protocols for task continuity.

An AI agent enters plan mode before brainstorming because hard routing rules are not enforced. Applying a skills framework prevents this by strictly routing tasks through brainstorm-plan-execute pipelines.

Route user messages to the correct AI sub-skill automatically by applying a load-and-apply behavior defined in a skills framework, which evaluates incoming requests and directs them to appropriate pipelines.

You need a skills framework to coordinate multi-stage AI tasks if you require strict decision flow, sub-skill routing, and continuity enforcement across brainstorm and execution stages.

The best way to enforce follow-up protocols in an AI agent is using a meta-guide skill that actively maintains conversation context and strictly applies documented continuity rules after each pipeline stage.