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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

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Decision summary

Triplet Attention is the strongest overall pick here because it has a 43/100 readiness score and fits RAG and knowledge.

Strongest overall

Triplet Attention

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

Fastest prototype

Triplet Attention

Best first install candidate based on install readiness and adoption.

Freshest repo

Triplet Attention

Most recent maintenance signal among this shortlist.

SignalTriplet Attention

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

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

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

Adoption442 stars
0 installs
FreshnessFeb 11, 2025
Use-case fit
RAG and knowledgeGitHub automationCoding agents
Workflow fit
RAG knowledge baseContent growth agent
Platform hintsJupyter Notebook, Research, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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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
RAG and knowledge 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 landskape-ai/triplet-attention