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Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design.
Use when posting validated code review findings as GitHub PR line-level comments or a GitHub PR review after completing a review.
Use when reviewing branch or PR changes against a base branch for correctness, security, concurrency, architecture, maintainability, testing, and performance risks.
Applies Karl Popper’s critical rationalism to software engineering, programming, and product building by treating requirements, designs, implementations, and product ideas as falsifiable hypotheses. Emphasizes conjectures and refutations, explicit assumptions, fast error discovery, small risky experiments, observable failure signals, reversible designs, and iterative elimination of mistakes.
Baseline coding behavior. Use before writing, reviewing, debugging, or refactoring code. Establishes ground rules for assumptions, simplicity, surgical edits, and verification.
Generate or check Codex CLI .codex-plugin/plugin.json and Gemini CLI gemini-extension.json manifests from a Claude Code .claude-plugin/plugin.json source manifest. Use when maintaining one plugin across Claude Code, Codex CLI, and Gemini CLI, syncing plugin metadata, preserving platform-specific manifest fields, or validating cross-platform plugin manifests before release.
Use when improving an article or long-form draft for structure, clarity, coherence, flow, readability, or prose quality while preserving meaning, accuracy, intent, and voice.
| name | grill-me |
| description | Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design. |
Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
Ask the questions one at a time.
If a question can be answered by exploring the codebase, explore the codebase instead.
