Identify and resolve uncertainties in user requests through a four-stage clarification funnel.
npx skills add https://github.com/djimit/djimitflo --skill clarify-djimit
Please help me install this Agent Skill. Skill: clarify Source: https://github.com/djimit/djimitflo/tree/main/.opencode/skills/clarify Command: npx skills add https://github.com/djimit/djimitflo --skill clarify-djimit
This Skill facilitates a structured clarification process, ensuring all material uncertainties are identified and addressed before user decisions are made.
Activate the clarify skill and present the architect with a request for clarification.
High-intent search queries and answers about installing and using this skill.
Structured clarification identifies and resolves material uncertainties in engineering and product workflows. It uses a four-stage funnel: inventory, classification, critic consultation, and user decision packet generation, ensuring critical issues are addressed before decisions.
You resolve uncertainties by applying a structured clarification funnel that inventories and classifies open questions, consults a critic, and generates a user decision packet. This ensures material uncertainties are addressed before final decisions are made.
Yes, structured decision-making applies directly to product management and design workflows. The protocol ensures material uncertainties are surfaced, consulted against a critic, and recorded as explicit assumptions before user decisions are finalized.
Consulting a critic as a sounding board within a structured clarification protocol refines questions and resolves ambiguities. The critic reviews classified uncertainties to ensure material issues are addressed before surfacing a user decision packet.
Resolved uncertainties are recorded as explicit assumptions. This documentation happens after the inventory, classification, and critic consultation stages, ensuring all material decisions are formally captured before user action.
ZaxbyHubRuns a four-stage clarification funnel with critic review before surfacing user decisions.
CODE-SAURABHTurn ambiguous product requests into focused feature plans and engineering decisions.
workinprogress-aiManages pair-programming sessions with GitHub-issue-based implementation plans and approval gates.
robertzengcnReview code diffs, run adversarial tests, and consult on coding questions via the OpenAI Codex CLI.
