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 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Superset is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.

Strongest overall

Superset

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Superset

Best first install candidate based on install readiness and adoption.

Freshest repo

Superset

Most recent maintenance signal among this shortlist.

Signal	odata Help with OData service development in ABAP including OData V2 and V4 services via RAP service bindings, SEGW-based services, service definitions, service bindings, OData annotations, consumption of external OData services, and troubleshooting common OData errors. Use when users ask about OData, OData V2, OData V4, service binding, service definition, SEGW, OData annotations, OData consumption, OData client proxy, HTTP client, communication arrangement, external API consumption, /IWBEP/ errors, or exposing a RAP BO as OData. Triggers include "create OData service", "expose RAP BO", "service binding", "OData V4", "consume external OData", "OData annotations", "SEGW service", or "OData error".	Airflow Apache Airflow - A platform to programmatically author, schedule, and monitor workflows	Superset Apache Superset is a Data Visualization and Data Exploration Platform	Scientific Agent Skills Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Quality	59/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	58/100 Prototype first Prototype with this skill first; keep a fallback candidate ready.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	60 stars Verified outcomes are shown on each skill page	47K stars Verified outcomes are shown on each skill page	75K stars Verified outcomes are shown on each skill page