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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

Time Series Forecasting Pytorch is the strongest overall pick here because it has a 41/100 readiness score and fits Coding agents.

Strongest overall

Time Series Forecasting Pytorch

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Time Series Forecasting Pytorch

Best first install candidate based on install readiness and adoption.

Freshest repo

Time Series Forecasting Pytorch

Most recent maintenance signal among this shortlist.

SignalTime Series Forecasting Pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

Quality
51/100
Needs review
Decision verdict
41/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption328 stars
0 installs
FreshnessApr 21, 2024
Use-case fit
Coding agentsRAG and knowledgeBrowser automation
Stack fit
Coding review agentContent growth agent
Platform hintsJupyter Notebook, Machine Learning, Claude Code
WarningsRepository looks stale · No 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 forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add jinglescode/time-series-forecasting-pytorch