eda-knowledge-explorer

Explore and structure local EDA knowledge, identify evidence gaps, and prepare targeted literature retrieval tasks for local download and follow-up parsing.

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.
  1. For missing external evidence, delegate to eda-paper-fetch and generate a local download queue.
  2. If local PDFs are available, delegate parse/summarize to eda-pdf-local-summary.
  3. 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