eda-research-chainlisted

# EDA Research Chain ## When to use Use this skill when the user asks for an end-to-end research workflow, not a single isolated experiment step. ## Scope This skill orchestrates the full chain and delegates each stage to specialized skills. Global governance still follows `AGENTS.md`. ## Stage flow 1. Bootstrap chain workspace: ```bash python3 scripts/common/init_research_chain.py --tag <tag> ``` 2. Knowledge exploration: - use `eda-knowledge-explorer` to map local knowledge gaps, - produce `01_knowledge/knowledge_gap_map.md`. 3. Literature retrieval + local parsing: - use `eda-paper-fetch` to generate download queue, - use `eda-pdf-local-summary` after local PDFs are available, - produce `02_literature/paper_download_queue.tsv` and `02_literature/local_paper_summary_index.md`. 4. Idea brainstorming and debate: - use `eda-idea-debate-lab`, - produce `03_idea_debate/idea_brainstorm.md` and `03_idea_debate/pro_con_debate.md`. 5. Hypothesis -> experiment design: - use `eda-hypothesis-experiment-designer`, - run `eda-preflight-reflect` before expensive submissions, - produce `04_hypothesis_design/hypothesis_experiment_matrix.tsv`. 6. Method implementation: - use `eda-method-implementer`, - produce `05_implementation/implementation_plan.md`. 7. Multi-version development and integration: - use `git-version-control`, - produce `06_versioning/version_plan.md` and version delta notes. 8. Validation and decision: - execute via `eda-loop`, - use validation tools/skills (`