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

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.

SignalMyTT

MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件,仅百行代码,十几个核心函数,神奇的实现所有常见技术指标算法(不依赖talib库)的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装,简洁且高性能,能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators.

Vnpy

基于Python的开源量化交易平台开发框架

Turbovec

A vector index built on TurboQuant, written in Rust with Python bindings

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.

Quality
98/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

100/100
Production-ready

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

Adoption2.8K stars
0 installs
42K stars
0 installs
13K stars
0 installs
52K stars
0 installs
FreshnessJun 13, 2026May 17, 2026Jun 10, 2026Jun 29, 2026
Use-case fit
Workflow fit
Platform hintsPython, Quant, Claude CodePython, Quant, Claude CodePython, Quant, Claude CodePython, Finance, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yet
Best forFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signalsFinance and quant workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsResearch 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 mpquant/MyTT
$ npx skills add vnpy/vnpy
$ npx skills add RyanCodrai/turbovec
$ npx skills add ZhuLinsen/daily_stock_analysis