Refine a plan or design through a persistent interview that asks probing questions. This skill starts the conversation by invoking the related grilling skill, providing an entry point for examining and sharpening what you have in mind.
A relentless interview to sharpen a plan or design.
grill-me starts an interview that uses probing questions to help you rethink a plan or design. You discuss what you have in mind with the agent and make the idea more concrete by answering its questions. The description presents this as a persistent interview: the conversation keeps examining the plan or design through questions.
Use it when you want to organize your thinking through questions before proceeding with a plan. It also suits situations where you want to put your thoughts about a design into words. Present the plan or design you want to discuss, and use the skill as an entry point for a conversation that explores it in more depth.
/grill-me to ask questions that help me rethink this plan.”The stated action is to invoke grilling through the Skill tool, so that skill must be available. The supplied body does not describe the specific interview process or the output format.
This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.
AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.
The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 19, 2026. Treat it as a guide and read the original before installing.
Review the instructions the agent will receive before you install.
Call the Skill tool with "grilling".
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Choose which related skill to use and in what order for planning, building, debugging, or maintaining software. It explains routes through the available workflows and helps select the next step based on your situation and project size.
Coordinate subagents, separate agents assigned tasks, to pursue a long-running goal in one session. Maintain dialogue with the user while improving working conditions, shared rules, and access to information needed for future tasks.
Summarize an ongoing conversation and launch a fresh background agent to continue the work. The handoff includes the next focus, references to existing documents, and suggested skills, with sensitive information removed.
Review code changes from a chosen Git reference against two separate criteria: documented coding standards and the original requirements. Independent reviewers check each criterion, then present findings separately so convention problems and requirement gaps remain visible.
Design modules that offer substantial behavior through a small interface, the rules callers must understand. Use shared design terms to simplify usage, contain complexity, choose where implementations can vary, and make behavior easier to test.
Investigate difficult bugs and performance slowdowns by building a repeatable test or script that detects the exact symptom. Reduce the failing case, compare possible causes, and verify the fix with checks that catch the bug if it returns.