What problem does it solve? After design-to-code generates code skeletons with contract comments, AI coding tends to be unstructured—writing code without context preparation, batching strategy, or contract verification, which causes drift from design intent and inconsistency with existing project style. ## Core Features & Use Cases - Contract-first batch implementation: Reads skeleton contract comments, code-survey results, and dependency docs before filling method bodies, processing batches in dependency DAG order. - Parallel acceleration: Dispatches order-independent batches to sub-agents via task-dispatch while serializing dependent batches, with cross-batch file conflict handling. - Contract verification: Validates implemented code against skeleton contracts across method coverage, signature consistency, exception handling, TODO resolution, and style alignment. - Use Case: After design-to-code produces skeleton files for a user service and order service, run this Skill to fill in all method bodies, resolve TODO markers in place, and verify the implementation matches every contract comment before archiving. ## Quick Start Ask the AI to start skeleton-based coding implementation using the skeleton-status.md from the latest design output.
