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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

D2l Pytorch is the strongest overall pick here because it has a 79/100 readiness score and fits Coding agents.

Strongest overall

D2l Pytorch

Shortlist this skill and compare it with close alternatives before production adoption.

Fastest prototype

D2l Pytorch

Best first install candidate based on install readiness and adoption.

Freshest repo

D2l Pytorch

Most recent maintenance signal among this shortlist.

SignalD2l Pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Quality
77/100
Strong
Decision verdict
79/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

Adoption4.4K stars
0 installs
FreshnessJul 25, 2024
Use-case fit
Coding agentsGitHub automationRAG and knowledge
Stack fit
Coding review agentContent growth agent
Platform hintsJupyter Notebook, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
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
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add dsgiitr/d2l-pytorch