Interview users through a branching decision tree to resolve design ambiguities.
npx skills add https://github.com/compozy/agh --skill grill-me-compozy
Please help me install this Agent Skill. Skill: grill-me Source: https://github.com/compozy/agh/tree/main/.agents/skills/grill-me Command: npx skills add https://github.com/compozy/agh --skill grill-me-compozy
This Skill prevents ambiguous plans and misaligned assumptions by repeatedly questioning a design until you and the user reach a shared understanding.
Tell the AI: "Grill me about my plan for this system design so we resolve every dependency and reach shared understanding."
High-intent search queries and answers about installing and using this skill.
Resolving ambiguity in system architecture design involves relentlessly interviewing requirements through a branching decision tree, asking one question at a time to surface dependencies and align assumptions before execution.
The best way to uncover hidden tradeoffs in a product design review is to stress-test the plan using branch-by-branch resolution. By systematically questioning each decision, you surface missing requirements and align assumptions before committing to execution.
To clarify requirements when your system design seems fine, apply a codebase-first clarification approach. If a question can be answered by inspecting the repository, the tool prioritizes codebase analysis instead of guessing to surface missing dependencies.
Yes, you can use a decision tree to align assumptions for architecture requirements. It breaks down your plan into branching decisions and enforces one-at-a-time questioning to resolve dependencies between choices until full coherence is reached.
You need a codebase analysis during a design review when answers to clarification questions are derivable from your repository. It prioritizes inspecting the codebase to validate architecture requirements instead of relying on assumptions or guessing.
A limitation of using assumption alignment interviews is that resolving dependencies branch-by-branch requires strict one-at-a-time questioning, which can be time-consuming for product management plans with highly complex or deeply nested tradeoffs.
awood45Interviews users about plans to expose missing decisions and unresolved assumptions.
LevezzeInterview users through decision-tree questioning to resolve plan ambiguities.
OrestesKStress-test plans and designs through focused questioning about unresolved decisions and dependencies.
Chang-Shih-YungAggregate type checker, linter, and test results into a 0-10 composite score.
