clarification-broker

Solid

Compress planner candidate questions into a compact frontdesk-facing clarification batch and normalize answers back to planner.

AI & Automation 3,329 stars 323 forks Updated today NOASSERTION

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Quality Score: 81/100

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Skill Content

# Clarification Broker Use this skill for staged clarification between planner and frontdesk. ## Inputs - candidate questions - task packet draft - existing decisions and user constraints - previous answers if any ## Outputs - user-facing question batch - defaults applied - deferred questions - normalized answers when user response is provided ## Rules - Prefer one stage-batched question set over many interruptions. - Remove duplicates and already-answerable questions. - Defer later-phase questions instead of overloading frontdesk. - Do not alter authoritative task state directly.

Details

Author
SeemSeam
Repository
SeemSeam/claude_codex_bridge
Created
9 months ago
Last Updated
today
Language
Python
License
NOASSERTION

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