eda-knowledge-explorerlisted

# EDA Knowledge Explorer ## When to use Use this skill at the start of a research topic or when evidence is fragmented across KB, logs, and papers. ## Workflow 1. Read core KB context and recent experiment summaries. 2. Build a gap map: - known claims, - uncertain assumptions, - missing evidence. 3. For missing external evidence, delegate to `eda-paper-fetch` and generate a local download queue. 4. If local PDFs are available, delegate parse/summarize to `eda-pdf-local-summary`. 5. Produce explicit research questions that can be tested in later experiment design. ## Outputs 1. `knowledge_gap_map.md` 2. `paper_download_queue.tsv` 3. `evidence_to_question_map.md` ## Hard rules 1. Distinguish confirmed evidence from hypotheses. 2. Do not present unsourced claims as conclusions. 3. Keep file/path-level references for each key claim. ## Reference Load when needed: 1. `references/exploration-checklist.md`