clarification-broker

What problem does it solve?

In multi-agent planning workflows, a planner can generate many overlapping or premature questions that overwhelm the user-facing frontdesk. This Skill consolidates those candidate questions into one staged, deduplicated clarification batch and normalizes the user's answers back into a form the planner can consume.

Core Features & Use Cases

• Question Batching: Merges candidate questions into a single stage-batched set instead of interrupting the user repeatedly.
• Deduplication and Deferral: Removes duplicates and already-answerable questions, and defers later-phase questions to avoid overloading the frontdesk.
• Answer Normalization: Converts user responses, applied defaults, and deferred items back into a normalized structure for the planner.
• Use Case: During an agentic planning loop, the planner produces twelve raw questions; this Skill reduces them to four essential frontdesk questions, applies known defaults, and returns normalized answers once the user replies.

Quick Start

Use the clarification-broker skill to turn these planner candidate questions into one batched frontdesk question set and normalize the user's answers.