Fetch primary-source paper metadata and generate local manifests and download queues.
npx skills add https://github.com/Mr-Fang-VLSI/EDAgent --skill eda-paper-fetch
Please help me install this Agent Skill. Skill: eda-paper-fetch Source: https://github.com/Mr-Fang-VLSI/EDAgent/tree/main/skills/eda-paper-fetch Command: npx skills add https://github.com/Mr-Fang-VLSI/EDAgent --skill eda-paper-fetch
Fetch primary-source paper metadata to support evidence-based EDA claims by producing local artifacts for validation, audit trails, and reproducibility.
Define your topic or claim and let the skill fetch primary-source papers, create a local manifest, and generate a download queue for validation.
High-intent search queries and answers about installing and using this skill.
To build a reproducible literature review, fetch primary-source paper metadata from official publisher pages, arXiv, or OpenReview to ensure citation accuracy and generate local evidence artifacts for validation.
A paper manifest is a local evidence artifact recording citation metadata and triage decisions. You need one when assembling reproducible paper candidate lists to maintain an auditable trail for offline validation across research projects.
Generate a download queue by defining your research topic, fetching metadata from prioritized primary sources, and storing the assembled candidate papers locally to schedule user downloads for offline validation.
Yes, you can apply provided templates to schedule and record triage decisions on fetched paper candidates, facilitating reproducible literature reviews and ensuring consistent evaluation across research projects.
Yes, evidence-based EDA claim validation works without external dependencies by producing local artifacts such as manifests, download queues, and notes to record citation metadata for offline validation.
The approach is limited by the availability of official sources like publisher pages, arXiv, and OpenReview, prioritizing these primary sources over secondary databases to maintain metadata accuracy for auditable research artifacts.
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