eda-knowledge-explorer

Identifies gaps in a knowledge base and generates a list of documents to fill them.

8|3|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/Mr-Fang-VLSI/EDAgent --skill eda-knowledge-explorer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eda-knowledge-explorer
Source: https://github.com/Mr-Fang-VLSI/EDAgent/tree/main/skills/eda-knowledge-explorer
Command: npx skills add https://github.com/Mr-Fang-VLSI/EDAgent --skill eda-knowledge-explorer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

Fragmented local EDA knowledge, logs, and papers impede efficient research planning. This skill identifies gaps in claims and evidence and organizes next steps.

Core Features & Use Cases

  • Build a gap map from core KB/context, experiment summaries, and literature.
  • Generate a local paper download queue and map evidence to research questions.
  • Produce explicit outputs (knowledge_gap_map.md, paper_download_queue.tsv, evidence_to_question_map.md) for later parsing and synthesis.
  • Use cases: starting a topic, reconciling conflicting results, and planning targeted literature retrieval.

Quick Start

Kick off the skill to scan your local KB, identify knowledge gaps, and generate a literature download queue.

Frequently Asked Questions about eda-knowledge-explorer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify knowledge gaps in EDA literature and local research notes?

The skill scans your local knowledge base and paper index to map known claims, uncertain assumptions, and missing evidence into a structured knowledge_gap_map.md file.

What is the best way to generate a literature download queue from existing EDA research questions?

The best way is to map evidence to your research questions and output a targeted paper_download_queue.tsv file, which queues missing literature for local parsing.

Can I reconcile conflicting EDA experiment results using a local knowledge base?

Yes, you can reconcile conflicting results by applying this skill to scan experiment summaries and local literature, explicitly mapping out evidence gaps and uncertain assumptions.

Does this knowledge gap mapping approach require external database access to work?

No, it operates entirely within your local knowledge base and local paper index to produce structured outputs like evidence_to_question_map.md without requiring external database access.

When should I use an evidence gap map for EDA research planning?

Use an evidence gap map when starting a new EDA topic or planning targeted literature retrieval, as it reconciles fragmented local logs and papers into actionable next steps.