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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 1 skill

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

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Decision summary

Stock Prediction Deep Neural Learning is the strongest overall pick here because it has a 70/100 readiness score and fits Sports analytics.

Strongest overall

Stock Prediction Deep Neural Learning

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

Fastest prototype

Stock Prediction Deep Neural Learning

Best first install candidate based on install readiness and adoption.

Freshest repo

Stock Prediction Deep Neural Learning

Most recent maintenance signal among this shortlist.

SignalStock Prediction Deep Neural Learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

Quality
68/100
Promising
Decision verdict
70/100
Prototype first

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

Adoption683 stars
0 installs
FreshnessDec 28, 2025
Use-case fit
Sports analyticsCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Finance, Claude Code
WarningsNo OpenAgentSkill engagement data yet
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Best forSports analytics 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 review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add JordiCorbilla/stock-prediction-deep-neural-learning