Agent skill

Paper Recommendation Guide

by wentorai in wentorai/research-plugins

Systematic paper recommendation and discovery using multiple methods

MITAuto-check passedResearch & Science

Install Paper Recommendation Guide

skills CLI
$ npx skills add wentorai/research-plugins --skill paper-recommendation-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wentorai/research-plugins paper-recommendation-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/literature/discovery/paper-recommendation-guide .claude/skills/paper-recommendation-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
paper-recommendation-guide
GitHub stars
298
Used in
1 other repo
Token cost
~1.8k tokens
SKILL.md length
896 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

Systematic paper recommendation and discovery using multiple methods

  • Works in 5 steps: Check preprint alerts: Review your… → Scan citation alerts: Review Google… → Process recommendation queue: Review… → …
  • Tasks that involve Academic paper search
  • SKILL.md covers Overview, Algorithmic Recommendation…, Citation-Based Discovery Methods and Building a Reading Pipeline, plus 2 more sections
  • Calls curl; reaches api.openalex.org

What it does

Paper Recommendation Guide is an agent skill from wentorai/research-plugins. Systematic paper recommendation and discovery using multiple methods

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Academic paper search and Citation management. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Tasks that involve Academic paper search
  • Tasks that involve Citation management

Example prompts

  • “/paper-recommendation-guide”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Check preprint alerts: Review your arXiv, bioRxiv, or SSRN email alerts or RSS feeds (15 min).
  2. Scan citation alerts: Review Google Scholar citation alerts for new papers citing your key references (10 min).
  3. Process recommendation queue: Review suggestions from OpenAlex, Research Rabbit, or Connected Papers for any recently added seed papers…
  4. Social signals: Scan academic Twitter/Mastodon, relevant subreddits, or lab group Slack channels for shared papers (10 min).
  5. Triage and queue: Add promising papers to your "to read" queue with a priority tag (high/medium/low) and the reason you flagged them.

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.openalex.org

    Also links to:

    • connectedpapers.com
    • researchrabbitapp.com
    • github.com
    • vosviewer.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Paper Recommendation Guide loads about 1.8k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 896 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 896 words, ~1,774 tokens.

Download SKILL.mdSave it as .claude/skills/paper-recommendation-guide/SKILL.md (or your agent's skills folder).
name
paper-recommendation-guide
description
Systematic paper recommendation and discovery using multiple methods

Paper Recommendation Guide

Overview

Finding the right papers to read is a research skill in itself. Beyond keyword searches, modern researchers have access to a rich ecosystem of recommendation tools that use citation networks, semantic similarity, co-authorship patterns, and collaborative filtering to surface relevant papers you might otherwise miss.

This skill provides a systematic approach to paper discovery that goes beyond passive reading. It covers algorithmic recommendation services, citation-based discovery techniques, social and community-driven methods, and strategies for building and maintaining a well-curated reading pipeline. The goal is to minimize the chance that you miss an important paper while avoiding information overload.

Whether you are entering a new field and need foundational papers, tracking the frontier of a mature research area, or looking for interdisciplinary connections, this guide provides concrete methods for each scenario.

Algorithmic Recommendation Services

OpenAlex provides concept-based and citation-based discovery for 250M+ works across all disciplines:

bash
# Find works related to a specific paper via its concepts and citations
curl "https://api.openalex.org/works?filter=cites:W2741809807&sort=cited_by_count:desc&per_page=10"

Use OpenAlex's concept graph to find related work by browsing papers tagged with the same research concepts, or trace citation networks to find derivative and foundational papers.

Connected Papers

Connected Papers (connectedpapers.com) builds a visual graph of papers related to a seed paper. It uses co-citation and bibliographic coupling analysis rather than direct citation links, which means it can surface related work even when two papers do not cite each other directly. Use this when:

  • You have one key paper and want to map the surrounding literature
  • You want to identify distinct clusters of related research
  • You need to find the "origin paper" for an idea by tracing the graph backward
Google Scholar Recommendations

Google Scholar's "Related articles" feature and the personalized recommendation emails (if you maintain a Google Scholar profile) use a combination of citation analysis and content similarity. To maximize their usefulness:

  • Maintain an up-to-date Google Scholar profile with your publications
  • Use the "Library" feature to save papers—this trains the recommendation algorithm
  • Set up Google Scholar Alerts for key queries and author names
  • Check the "Related articles" link on every important paper you read
Research Rabbit

Research Rabbit (researchrabbitapp.com) lets you build collections of papers and then visualizes networks of related work, similar work, and suggested papers. It integrates with Zotero for importing existing libraries. Key features:

  • "Similar Work" tab: finds papers with semantic similarity
  • "All References" and "All Citations": explores the citation tree
  • "These Authors" and "Suggested Authors": discovers researchers working on related topics
  • Shareable collections for collaborative literature discovery

Citation-Based Discovery Methods

When algorithmic tools are insufficient, manual citation-based techniques remain powerful:

Forward Citation Chaining

Start with a foundational paper. Find all papers that cite it (using Google Scholar, OpenAlex, or Web of Science). Screen these citing papers by title and abstract to find relevant descendants. Repeat for the most important descendants.

Backward Citation Mining

Read the reference list of a key paper. Identify and retrieve the most important cited works. This traces the intellectual lineage of ideas and helps you find the seminal papers in a subfield.

Co-Citation Analysis

Two papers that are frequently cited together in other papers are likely related, even if they do not cite each other. Tools like VOSviewer and CiteSpace can visualize co-citation clusters from a set of papers, revealing the intellectual structure of a field.

Show full SKILL.md (358 more words)Show less
Bibliographic Coupling

Two papers that share many references are likely addressing related questions. This is the inverse of co-citation and is more useful for discovering recent papers that have not yet accumulated citations.

Building a Reading Pipeline

A sustainable paper discovery practice requires more than one-off searches. Build a pipeline that continuously surfaces new relevant work:

Weekly Routine
  1. Check preprint alerts: Review your arXiv, bioRxiv, or SSRN email alerts or RSS feeds (15 min).
  2. Scan citation alerts: Review Google Scholar citation alerts for new papers citing your key references (10 min).
  3. Process recommendation queue: Review suggestions from OpenAlex, Research Rabbit, or Connected Papers for any recently added seed papers (10 min).
  4. Social signals: Scan academic Twitter/Mastodon, relevant subreddits, or lab group Slack channels for shared papers (10 min).
  5. Triage and queue: Add promising papers to your "to read" queue with a priority tag (high/medium/low) and the reason you flagged them.
Managing the Reading Queue

Avoid the trap of an ever-growing, never-read paper queue:

  • Time-box reading: Dedicate specific blocks (e.g., 2 hours Tuesday/Thursday) to reading queued papers.
  • Triage aggressively: Not every flagged paper needs a full read. Use a 3-tier system: skim (5 min), selective read (20 min), deep read (60+ min).
  • Expire old items: Papers that have been in your queue for more than 8 weeks without being read should be re-evaluated. If they are still relevant, read them now; otherwise, archive them.
  • Track what you read: Maintain a reading log with dates and brief notes to build a personal knowledge base.

Interdisciplinary Discovery

Finding papers outside your primary field is particularly challenging because you may not know the right terminology. Strategies include:

  • Concept-based search: Use tools like OpenAlex that organize papers by research concepts rather than keywords.
  • Review articles: Find review articles in the adjacent field—they provide curated entry points and vocabulary.
  • Cross-field citation chaining: When your field's paper cites work from another discipline, follow that reference chain.
  • Ask experts: Reach out to researchers in adjacent fields and ask for their recommended reading list for a newcomer.

References

© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/literature/discovery/paper-recommendation-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Paper Recommendation Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Paper Recommendation Guide compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Paper Recommendation Guide this skillwentorai/research-plugins2981 repos~1.8kAutomated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73912 repos~3.7kAutomated safety check: PassMIT
Citation Managementneflibata-feng/MyArxiv-Agent12619 repos~8.1kAutomated safety check: NotesMIT

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Questions about Paper Recommendation Guide

What does Paper Recommendation Guide do?

Systematic paper recommendation and discovery using multiple methods. Paper Recommendation Guide is an agent skill from wentorai/research-plugins.

When should I use Paper Recommendation Guide?

Paper Recommendation Guide fits situations like: tasks that involve Academic paper search; tasks that involve Citation management.

How do I install Paper Recommendation Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill paper-recommendation-guide -a claude-code`. Or copy the skill folder (skills/literature/discovery/paper-recommendation-guide in wentorai/research-plugins) into .claude/skills/paper-recommendation-guide in your project. Claude Code loads it when a task matches its description.

How do I install Paper Recommendation Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill paper-recommendation-guide -a codex`. Or copy the skill folder (skills/literature/discovery/paper-recommendation-guide in wentorai/research-plugins) into .agents/skills/paper-recommendation-guide in your project. Codex loads it when a task matches its description.

Can I use Paper Recommendation Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill paper-recommendation-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paper-recommendation-guide, .gemini/skills/paper-recommendation-guide, .github/skills/paper-recommendation-guide and .opencode/skills/paper-recommendation-guide in your project.

What does Paper Recommendation Guide need to run?

Going by SKILL.md and its folder, Paper Recommendation Guide needs the command-line tools its instructions call (curl).

Does Paper Recommendation Guide access the network?

SKILL.md names 5 domains. In commands or code: api.openalex.org; the agent is likely to contact it when it follows the instructions. As links in the text: connectedpapers.com, researchrabbitapp.com, github.com and vosviewer.com. This is read from the text; nothing was executed.

Is Paper Recommendation Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Paper Recommendation Guide use?

Paper Recommendation Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Paper Recommendation Guide use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Paper Recommendation Guide?

Skills that share tags, products or a category with Paper Recommendation Guide: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paper Recommendation Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.