Best use case
mathscinet-interface is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Interface with MathSciNet for mathematical reviews
Teams using mathscinet-interface should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mathscinet-interface/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mathscinet-interface Compares
| Feature / Agent | mathscinet-interface | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Interface with MathSciNet for mathematical reviews
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# MathSciNet Interface ## Purpose Provides interface with MathSciNet for accessing mathematical reviews and bibliographic data. ## Capabilities - MSC classification lookup - Author profile retrieval - Citation searching - Review text access - Related work discovery - Collaboration network analysis ## Usage Guidelines 1. **MSC Codes**: Use Mathematics Subject Classification codes 2. **Author Search**: Search by author with disambiguation 3. **Citation Network**: Analyze citing and cited papers 4. **Reviews**: Access expert mathematical reviews ## Tools/Libraries - MathSciNet API
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