Agents365-ai

Agents365-ai / asta-skill

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Asta MCP skill — give Claude Code/Codex/Cursor/Windsurf/OpenClaw access to Semantic Scholar via Ai2 Asta MCP server

academic-search agent-skills asta claude-code claude-code-skill
15
1
100% credibility
Found Apr 14, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Instructions for AI assistants to search Semantic Scholar's vast academic corpus for papers, citations, authors, and snippets using natural language via AllenAI's Asta service.

How It Works

1
🔍 Discover Asta Skill

You find a helpful add-on that supercharges your AI assistant for searching academic papers and citations.

2
📝 Get Free Library Access

Sign up quickly for your personal pass to a massive collection of research papers.

3
🔗 Connect to AI Assistant

Link the research library to your AI helper so it can fetch papers on command.

4
📥 Install the Add-on

Download the simple instructions and drop them into your AI assistant's special folder.

5
💬 Start Chatting

Ask natural questions like 'Find papers on climate change' or 'Who cited this study?' and watch it work.

🎉 Effortless Research

Your AI now delivers papers, authors, snippets, and citations instantly, making deep dives into topics a joy.

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AI-Generated Review

What is asta-skill?

Asta-skill is a zero-code instruction pack on ai2 Asta GitHub that plugs Semantic Scholar access into MCP-compatible AI agents like Claude Code, Cursor, Windsurf, or OpenClaw. Developers get instant tools for paper lookups by DOI/arXiv/PMID, citation traversal, author searches, batch queries, and snippet extraction from the academic corpus—all via natural language prompts. It solves the hassle of manual API calls or context overflows by routing intents to Ai2's Asta MCP server with safe defaults.

Why is it gaining traction?

Unlike REST-based alternatives like semanticscholar-skill, it requires no Python runtime or S2 keys—just register the Asta MCP endpoint once and clone the skill folder. Users notice seamless multi-step workflows (topic discovery, evidence grounding) that native agents fumble, plus platform-specific install recipes for Cursor or Codex. The hook: triggers automatically on "find papers on X" queries, delivering paginated results without blowing token limits.

Who should use this?

AI researchers prompting agents for literature reviews during coding sessions in Cursor or Claude Code. Devs building RAG apps needing quick academic grounding via Asta skills. Agent tinkerers on Windsurf or OpenClaw who want Semantic Scholar without scripting batch lookups or citation chains.

Verdict

Grab it if you're on an MCP host and need academic search—docs are thorough, installs are dead simple, MIT license. With 15 stars and 1.0% credibility score, it's early but functional; test in a side project before production reliance.

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