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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

Edsl is the strongest overall pick here because it has a 83/100 readiness score and fits RAG and knowledge.

Strongest overall

Edsl

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

Fastest prototype

Edsl

Best first install candidate based on install readiness and adoption.

Freshest repo

Edsl

Most recent maintenance signal among this shortlist.

SignalEdsl

Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

Quality
84/100
Strong
Decision verdict
83/100
Strong shortlist

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

Adoption471 stars
0 installs
FreshnessJun 25, 2026
Use-case fit
RAG and knowledgeResearch agentsGitHub automation
Workflow fit
RAG knowledge baseResearch report agent
Platform hintsPython, LLM, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects
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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add expectedparrot/edsl