What problem does it solve? Implementation plans often fail because requirements are ambiguous or the plan depends on conversational context that a fresh coding-agent session cannot see. This Skill resolves material requirements through targeted questions, then produces a self-contained, reviewed plan saved through the repository's existing Saved Plan writer. ## Core Features & Use Cases - Requirements Interview: Loads the installed grilling skill to ask only judgment-dependent questions that materially change the plan, skipping facts already discoverable in the repository. - Self-Contained Plan Writing: Produces a Markdown plan with goals, evidence, decisions, ordered implementation steps, validation guidance, and risks that a fresh downstream agent can execute without prior conversation. - Deterministic Saving: Calls write_saved_plan_file exactly once, letting the existing writer own slug derivation, collision refusal, and storage. - Use Case: Before starting a multi-file refactor, run this workflow to grill the author on design tradeoffs, then hand the resulting Saved Plan to a new coding-agent session for implementation. ## Quick Start Ask the agent to run the plan-grill-and-save workflow to interview you about requirements and save a reviewed implementation plan for your intended change.
