Route user requests into operational modes like DIRECT, DEBUG, IMPLEMENT, PLAN, ASK, RESEARCH, or OTHER.
npx skills add https://github.com/choru-k/skills-for-ai --skill clarify-choru-k
Please help me install this Agent Skill. Skill: clarify Source: https://github.com/choru-k/skills-for-ai/tree/main/public/common/clarify Command: npx skills add https://github.com/choru-k/skills-for-ai --skill clarify-choru-k
This Skill helps to refine and clarify user requests for AI agents, ensuring that the AI understands the exact intent and requirements before proceeding with an action.
Use the clarify skill to determine the next best action for a complex user request.
High-intent search queries and answers about installing and using this skill.
Clarifying ambiguous requests for AI agents involves routing user intent into specific operational modes and gathering evidence through targeted questioning to resolve missing context. This ensures precise understanding of requirements before the agent proceeds with execution.
Intent recognition and request routing in prompt engineering categorizes user requests into operational modes like DIRECT, DEBUG, IMPLEMENT, PLAN, ASK, or RESEARCH. This ensures the AI agent applies the correct processing logic for the specific task.
You need a clarification loop in your AI agent workflow when user requests lack sufficient detail for immediate execution. It triggers targeted questioning and evidence gathering to gate missing context and verify intent before final output.
Yes, you can dynamically route user requests into operational modes such as DIRECT, DEBUG, IMPLEMENT, PLAN, ASK, RESEARCH, and OTHER. This allows the AI agent to structure its response based on the recognized intent and gathered evidence.
Determining the correct operational mode for a complex request requires analyzing user intent and gathering contextual evidence. The AI agent evaluates whether the user needs a plan, direct implementation, research overview, or debugging assistance to route appropriately.
Automated intent recognition for request routing relies on a verification loop and may require multiple iterations of targeted questioning. If missing context is not resolved through evidence gathering, the agent may struggle to accurately determine the correct operational mode.
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