Star200+

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.

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Decision summary

Daily Stock Analysis is the strongest overall pick here because it has a 100/100 readiness score and fits Research agents.

Strongest overall

Daily Stock Analysis

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

Fastest prototype

Daily Stock Analysis

Best first install candidate based on install readiness and adoption.

Freshest repo

Daily Stock Analysis

Most recent maintenance signal among this shortlist.

SignalLearn Backtrader

BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）

Daily Stock Analysis

LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

QuantLib

The QuantLib C++ library

Vnpy

基于Python的开源量化交易平台开发框架

Quality
69/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
71/100
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.

Adoption2.2K stars
0 installs
52K stars
0 installs
7.2K stars
0 installs
42K stars
0 installs
FreshnessOct 21, 2021Jun 29, 2026Jun 11, 2026May 17, 2026
Use-case fit
RAG and knowledgeCoding agentsResearch agents
Research agentsFinance and quantRAG and knowledge
RAG and knowledgeCoding agentsResearch agents
Finance and quantCoding agentsRAG and knowledge
Workflow fit
RAG knowledge baseContent growth agent
Research report agentRAG knowledge base
RAG knowledge baseContent growth agent
Content growth agentCoding review agent
Platform hintsPython, Finance, Claude CodePython, Finance, Claude CodeC++, Finance, Claude CodePython, Quant, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsResearch agents workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository 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 jrothschild33/learn_backtrader
$ npx skills add ZhuLinsen/daily_stock_analysis
$ npx skills add lballabio/QuantLib
$ npx skills add vnpy/vnpy