What problem does it solve? LLMs often truncate long outputs, insert placeholder comments like "// rest of code", or stop mid-task to save tokens. This Skill overrides that default behavior so every requested deliverable is generated in full, with clean pause-and-resume handling when token limits are hit. ## Core Features & Use Cases - Placeholder Ban: Hard-fails on patterns like // ..., // TODO, "for brevity", and skeleton-only outputs, forcing complete implementations. - Deliverable Counting: Scopes the request, locks the expected number of deliverables, and cross-checks the output against that count before responding. - Token-Limit Splitting: Pauses at clean breakpoints with a structured resume marker instead of compressing or skipping remaining sections. - Use Case: Ask for a full multi-file project scaffold or five complete React components, and receive every file and component fully implemented with no omitted sections. ## Quick Start Apply the full-output-enforcement skill and generate the complete implementation of all requested files with no placeholders or omissions.