Filter non-critical clarification questions through a 4-stage funnel.
npx skills add https://github.com/ZaxbyHub/opencode-swarm --skill clarify-zaxbyhub
Please help me install this Agent Skill. Skill: clarify Source: https://github.com/ZaxbyHub/opencode-swarm/tree/main/.opencode/skills/clarify Command: npx skills add https://github.com/ZaxbyHub/opencode-swarm --skill clarify-zaxbyhub
This Skill eliminates unnecessary user interruptions during AI architect planning by filtering out non-critical clarification questions via a structured 4-stage funnel, ensuring users are only asked for decisions that genuinely require their input.
Use the clarify skill to run the structured clarification funnel on the user's ambiguous request for a new user authentication system and return only the decisions that require user input.
High-intent search queries and answers about installing and using this skill.
To stop unnecessary AI architect interruptions, use a structured clarification funnel that filters non-critical questions, consults a critic sounding board to resolve safe defaults, and surfaces only genuine user decisions regarding scope, security, and compatibility.
A gated clarification workflow is a multi-stage filtering process that inventories material uncertainties, applies critic review to drop unnecessary questions, and enforces always-surface categories for critical decisions before interrupting the user.
You classify material uncertainty by running ambiguous requests through a 4-stage funnel, separating internal implementation details that can be resolved from context from critical scope, security, and breaking change decisions that require user input.
Yes, the clarify protocol enforces always-surface category guarantees, ensuring critical decisions around security risks, compatibility, breaking changes, and rollout strategy are never silently dropped by the critic sounding board.
Use a critic sounding board for AI planning when you have ambiguous requests requiring material uncertainty classification, allowing the critic to drop unnecessary questions, rephrase unclear ones, and resolve items where safe defaults exist.
Yes, you can apply a clarification funnel to ambiguous feature requests to isolate genuine user decisions, such as security risk tolerance and rollout strategy for payment processing, while resolving internal implementation details automatically.
hksloverStructure ambiguous software requests into requirements and implementation plans.
Ramprasad4121Ask targeted questions to clarify objectives, scope, constraints, and environment.
taylorbrookIdentify quality blockers in MAX patches using deterministic Python critic modules.
djimitIdentify and resolve uncertainties in user requests through a four-stage clarification funnel.
