eda-research-chain

EDA research workflow orchestration automates the full pipeline from knowledge exploration to retrospective, covering literature triage, hypothesis design, implementation, versioning, and validation. The skill coordinates specialized skills and applies guardrails to ensure safe, repeatable experiments.

EDA research chains enable multi-skill orchestration with global governance and audit trails. By delegating research stages to specialized tools and generating artifacts, the workflow ensures reproducibility and maintains auditable logs across the entire pipeline for compliance.

An EDA research chain is an orchestrated pipeline automating EDA research from knowledge exploration to retrospective. It processes idea debate and hypothesis design by delegating to specialized skills, ensuring all stages maintain auditable logs and artifact generation for reproducibility.

Bootstrap an EDA research chain workspace via the quick start feature to begin the guided end-to-end workflow. This prepares the environment for multi-skill orchestration, global governance, and artifact generation across all research stages, ensuring safe and repeatable experiments.

The EDA research pipeline requires a central knowledge base and guardrails to ensure safe, repeatable experiments. It coordinates multiple specialized skills across all research stages, maintaining auditable logs and generating artifacts to guarantee experimental reproducibility and compliance.

Document a research retrospective using the EDA research chain's built-in retrospective stage. After hypothesis validation, the workflow generates a retro summary complete with auditable logs and artifacts, ensuring reproducibility and compliance across the entire research pipeline.