What problem does it solve? LLMs frequently truncate long responses, insert placeholder comments like "// rest of code", or skip deliverables to save tokens, leaving users with incomplete and unusable output. This Skill overrides that default behavior so every requested file, function, or section is delivered in full. ## Core Features & Use Cases - Placeholder Ban: Hard-fails on patterns like // ..., // TODO, "for brevity", and "the rest follows the same pattern" in both code and prose. - Scope Locking: Counts the exact number of requested deliverables before generating, then cross-checks the output against that count before responding. - Token-Limit Handling: When output approaches the token limit, it pauses at a clean breakpoint with a resumable marker instead of compressing or skipping content. - Use Case: Ask for a full Next.js project scaffold with 12 components. Instead of receiving 3 components and "similar for the rest", you receive all 12 complete, or a clean pause marker with exact resume instructions. ## Quick Start Apply this skill and ask the AI to generate the complete implementation of all requested files with no placeholders or omissions.
