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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

Human Activity Recognition Using CNN is the strongest overall pick here because it has a 43/100 readiness score and fits Coding agents.

Strongest overall

Human Activity Recognition Using CNN

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

Fastest prototype

Human Activity Recognition Using CNN

Best first install candidate based on install readiness and adoption.

Freshest repo

Human Activity Recognition Using CNN

Most recent maintenance signal among this shortlist.

SignalHuman Activity Recognition Using CNN

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Quality
53/100
Needs review
Decision verdict
43/100
Needs manual review

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

Adoption485 stars
0 installs
FreshnessNov 16, 2022
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Notebook, 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 aqibsaeed/Human-Activity-Recognition-using-CNN