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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

Diamond is the strongest overall pick here because it has a 76/100 readiness score and fits RAG and knowledge.

Strongest overall

Diamond

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

Fastest prototype

Diamond

Best first install candidate based on install readiness and adoption.

Freshest repo

Diamond

Most recent maintenance signal among this shortlist.

SignalDiamond

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

Quality
74/100
Strong
Decision verdict
76/100
Strong shortlist

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

Adoption2.1K stars
0 installs
FreshnessDec 6, 2024
Use-case fit
RAG and knowledgeGitHub automationCoding agents
Workflow fit
RAG knowledge baseContent growth agent
Platform hintsPython, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forRAG and knowledge 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 eloialonso/diamond