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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

Academic Skills Food Nutrition is the strongest overall pick here because it has a 69/100 readiness score and fits Research agents.

Strongest overall

Academic Skills Food Nutrition

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

Academic Skills Food Nutrition

Best first install candidate based on install readiness and adoption.

Freshest repo

Academic Skills Food Nutrition

Most recent maintenance signal among this shortlist.

SignalAcademic Skills Food Nutrition

A collection of MIT-licensed AI agent skills for food and nutrition science research, including literature review, systematic review, and journal formatting.

Quality
70/100
Strong
Decision verdict
69/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption16 stars
0 installs
FreshnessJul 22, 2026
Use-case fit
Research agentsGitHub automationCoding agents
Workflow fit
Research report agentCoding review agent
Platform hintsPython, Claude Code, OpenAI Agents
WarningsLow GitHub adoption signal · 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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PrivacyBuilt for agent-native discovery
Best forResearch agents workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that need a vendor-supported SLA · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add PangenomeAI/academic-skills-food-nutrition