Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

Add more skills

Decision summary

Academic Research Skills is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Academic Research Skills

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Academic Research Skills

Best first install candidate based on install readiness and adoption.

Freshest repo

Academic Research Skills

Most recent maintenance signal among this shortlist.

SignalLuxas

An autonomous research colleague — from a question to a compiled manuscript, while you sleep.

Deep Research

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.

DeepResearch

Tongyi Deep Research, the Leading Open-source Deep Research Agent

Academic Research Skills

Academic Research Skills for Claude Code: research → write → review → revise → finalize

Quality
70/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
69/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption194 stars
Verified outcomes are shown on each skill page
19K stars
Verified outcomes are shown on each skill page
20K stars
Verified outcomes are shown on each skill page
38K stars
Verified outcomes are shown on each skill page
FreshnessMay 19, 2026Apr 11, 2026Feb 27, 2026Jul 18, 2026
Use-case fit
Workflow fit
Platform hintsTypeScript, Research Agent, Claude CodeTypeScript, Research Agent, Claude Code, OpenAI AgentsPython, Research Agent, Claude CodePython, Research, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projectsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add Muuuun/luxas
$ npx skills add dzhng/deep-research
$ npx skills add Alibaba-NLP/DeepResearch
$ npx skills add Imbad0202/academic-research-skills