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agent-papers-cli

A command-line academic research toolkit for AI agents

Install & Use

Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:

Help me install this AI Skill: agent-papers-cli.
It is used for: A command-line academic research toolkit for AI agents
Full Skill content: https://321skill.com/skills/agent-papers-cli/raw/index.md
Read that page and install it.

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agent-papers-cli addresses the challenge faced by AI agents (especially those in native bash environments like Claude Code) in autonomously discovering, acquiring, and reading academic literature during in-depth research. It integrates two core CLI tools—paper and paper-search—to bring paper search, PDF reading, content extraction, and metadata retrieval into the command line. This enables agents to independently complete the full research pipeline, from searching for literature and downloading PDFs to reading abstracts, studying specific sections, and tracking citations, much like a human researcher.

Usage is straightforward. Developers or agents simply run simple commands in the terminal, such as paper-search "query" to search for papers, paper read <arxiv_id> to read the full text or specific sections, or paper outline to quickly browse a paper's structure. The tool supports various citation formats including arXiv ID, DOI, and PDF file paths, and can fetch metadata and BibTeX citations from multiple academic databases (e.g., Google Scholar, Semantic Scholar).

This toolkit is ideal for users who need AI agents to perform automated, in-depth literature reviews. For example, academic researchers can use it to quickly build a material library for literature surveys; engineers developing agent applications can use it to equip agents with the ability to "consult literature"; and data analysts or industry researchers can use it to efficiently track the latest developments in specific fields.

Regarding usage recommendations, for users aiming to implement a fully automated research workflow, it is advised to combine the tool with the four pre-built Claude Code skills provided in the repository (such as deep investigation and systematic literature review), which demonstrate how to combine the basic tools into complex multi-step workflows. Note that some advanced features (e.g., chart detection) require installing the additional [layout] dependency package.

Key Features

Compared to similar tools, it is specifically designed for autonomous operation by AI agents, offering a complete, scriptable CLI interface that allows agents to perform complex academic research operations as if calling ordinary commands. Simultaneously, it integrates multiple academic search engines and deep PDF parsing (such as jumping to specific charts or formulas), forming an end-to-end research infrastructure from search to in-depth reading.

Limitations

Not suitable for scenarios requiring complex graphical interface interactions or deep analysis of non-academic web content.

FAQ

What is the difference between this tool and conventional reference management software (e.g., Zotero)?

Its core design is for AI agents or command-line workflows, emphasizing programmability and automation, rather than personal literature organization and note-taking.

Is installing the `[layout]` extension mandatory?

No, it is not required. Basic features (reading, searching, outlining) work without it. The extension is only needed for detecting and navigating to charts or formulas within PDFs.

Installation guide for AI assistants

If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:

Visit https://321skill.com/skills/agent-papers-cli/raw/index.md to read the original Skill definition (Markdown format) for agent-papers-cli, and install it according to the instructions.