research_to_code_pipeline

This Skill orchestrates end-to-end research pipelines across all stages: problem specification, theoretical analysis, design, implementation in multiple languages, testing, benchmarking, and reporting. It enforces dependencies, checkpoints, and output artifacts—including formal specifications, code, tests, and reports—while maintaining versioning and quality gates throughout the pipeline.

Yes. The Skill supports optional optimization loops after stage 2, enforces stage dependencies, and includes interactive and automatic modes. Artifact handoff between stages uses skill_context_cache to pass results forward, enabling both linear progression and iterative refinement cycles.

The pipeline generates formal specifications, design decisions, multi-language code implementations, test suites, benchmark results, and final reports. All artifacts are versioned and traced through the pipeline, with consistency checks applied to satisfy quality and traceability requirements.

The Skill enforces stage dependencies, checkpoints, and quality gates automatically. It validates that each stage produces required output artifacts and passes consistency checks before advancing, ensuring traceability and reproducibility across the full pipeline.

Yes. The pipeline includes implementation across multiple languages as a core stage, allowing you to generate and test code in different languages within a single orchestrated workflow from problem definition through benchmarking.