paper-fetch-skill

You can fetch paper metadata by providing a DOI, URL, or title to resolve queries into canonical landing pages. The skill validates availability and returns article metadata, references, and Markdown full text when available for AI workflows.

Yes, you can perform batch checks on citation lists to verify candidate papers' accessibility and metadata. This validates availability and provides ready-to-use structured content for topic search, literature recommendation, and review generation.

Yes, the skill exposes MCP-compatible tools to resolve papers and fetch structured outputs including Markdown-formatted full text and references. It manages cached results across provider-specific full-text workflows to ensure readiness for downstream tasks.

Querying by title resolves the paper and validates its metadata to retrieve structured outputs. The skill returns article metadata, Markdown-formatted full text when available, and references, providing ready-to-use content for literature recommendations or reviews.

Full-text Markdown retrieval is conditional and depends on provider-specific workflows. While the skill validates accessibility and metadata for papers resolved by DOI, URL, or title, full-text availability may be restricted by external providers.