
from auto-empirical-research-skills1,840
A collection of 31 database-specific literature search skills (arXiv, PubMed, OpenAlex, IEEE, Google Scholar guides) to discover, query, and retrieve academic p
Provides a catalog of 31 literature/database search skills covering arXiv, PubMed/Europe PMC, OpenAlex, IEEE Xplore, Google Scholar techniques, and other academic sources. Each sub-skill contains API details, query syntax, and guidance for batch reporting or systematic search workflows. The parent skill acts as a router to the individual database skills.
When you need to find academic papers, create reproducible search strategies for systematic reviews, batch-download metadata, or run cross-database searches for empirical research. Ideal for researchers preparing literature reviews or reproducible data collection.
Best used with agents that can follow internal skill links and load sub-skill SKILL.md files; useful across many agent runtimes that support repository browsing.
Hub/index skill pointing to 31 database-specific literature search sub-skills. No scripts included — purely a directory listing with triggers and links. The SKILL.md is well-organized as a lookup table but provides no direct functionality itself; all value is delegated to the sub-skills. Clean from a security perspective with no executable content.
This is a meta-skill: an index that routes to one of 31 sub-skills. The hub pattern is reasonable but the skill itself provides minimal instructions beyond 'pick one and read it'. Security is clean since there's no executable content. Would score higher on quality/architecture if it provided more guidance on which skill to select based on user context.
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