incremental-implementation

What problem does it solve? New code often drifts from established codebase conventions, introducing inconsistent patterns, missing context, and review friction. This Skill enforces a disciplined, incremental implementation workflow so every change matches existing architecture and remains easy to review. ## Core Features & Use Cases - Convention Matching: Reads existing files in the same architectural layer and replicates their patterns for naming, error handling, dependency injection, and testing. - Intent-Focused Commenting: Adds inline comments that explain why code exists (workarounds, magic numbers, invariants) rather than restating what it does. - Structured TODO Tracking: Flags judgment calls with categorized TODO comments (Security, Performance, Validation, Incomplete) including owner and date. - Use Case: When adding a new OrderService to a Python FastAPI project, the Skill reads existing services first, then writes the new service with matching constructor injection, async patterns, docstrings, and categorized TODOs—one file at a time. ## Quick Start Implement the new feature incrementally, matching the existing code patterns in this repository and adding TODO comments for any judgment calls.