paper-search Skill
Search papers across arXiv, DBLP, OpenAlex, OpenReview, Semantic Scholar, and Crossref for a given query and year range, using ./scripts/searchpapers.py. Use when the user asks to find papers, related work, prior art, or recent publications on a specific topic, especially when they mention a date range or specific venu Published by microsoft in ResearchStudio.
Decision snapshot
Is this a fit?
Research, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
1 month ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is paper-search Skill?
Search papers across arXiv, DBLP, OpenAlex, OpenReview, Semantic Scholar, and Crossref for a given query and year range, using ./scripts/searchpapers.py. Use when the user asks to find papers, related work, prior art, or recent publications on a specific topic, especially when they mention a date range or specific venu Published by microsoft in ResearchStudio. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Research
- Research use cases
Declared skill metadata
- Source file: ResearchStudio-Idea/skills/paper_search/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use paper-search Skill
- Use it for research.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/ResearchStudio
- Skill file: ResearchStudio-Idea/skills/paper_search/SKILL.md
What it does
Search papers across arXiv, DBLP, OpenAlex, OpenReview, Semantic Scholar, and Crossref for a given query and year range, using ./scripts/searchpapers.py. Use when the user asks to find papers, related work, prior art, or recent publications on a specific topic, especially when they mention a date range or specific venu
Skill instructions
Paper Search Skill Unified paper search across arXiv, DBLP, OpenAlex, OpenReview (NeurIPS / ICLR / ICML), Semantic Scholar, and Crossref using ./scripts/searchpapers.py. All sources are searched concurrently (in independent child processes) by default for maximum speed. Queries within one source remain serial. Returns results grouped by source. When to use Trigger this skill when the user asks things like: - "Find papers on X published between 2023 and 2025." - "Search NeurIPS / ICLR / ICML for work on X." - "Get arXiv + Semantic Scholar results for X." - "Show me recent prior art on X." Inputs (all auto-inferred — NEVER ask the user for confirmation or clarification) Derive these automatically from the user's message. Run the search immediately without asking for confirmation: - query: Rephrase the user's question into a focused search phrase. - startyear (int): If the user gives a year, use it directly. If they say "last 2 years", compute from today. Default: 2 years ago. - endyear (
Verified compatibility and discovery
Frequently asked questions
What is paper-search?
paper-search is a open-source AI agent skill with Copy skill directory. Search papers across arXiv, DBLP, OpenAlex, OpenReview, Semantic Scholar, and Crossref for a given query and year range, using ./scripts/searchpapers.py.
Who is paper-search best for?
paper-search is best for reusing agent instructions, scripts, and references, research workflows.
How do I install paper-search?
Install or run paper-search using Copy skill directory. Check paper-search for the latest setup command.
Is paper-search actively maintained?
paper-search may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
