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	survey Use to establish the repo's architecture map the rest of the pipeline reads. Two modes: on an EXISTING codebase it scans once and persists what's there; on an EMPTY/greenfield repo it runs a short, level-adaptive foundation session — picks the stack / folder structure / data approach / conventions WITH you (defaults-heavy), fixes them as the foundation + foundational ADRs, and emits a scaffold tasks.json that the scaffold skill materializes into a real skeleton. Triggers on "survey the codebase", "map the architecture", "set up a new project", "bootstrap the foundation", "/sdd:survey", "вивчи кодову базу", "карта архітектури", "новий проєкт", "заклади фундамент". Output: docs/architecture-map.md (+ adr/ + scaffold tasks.json on greenfield). Records reflects_commit for staleness; reads, never overwrites, an authored architecture doc.	Airflow Apache Airflow - A platform to programmatically author, schedule, and monitor workflows	Superset Apache Superset is a Data Visualization and Data Exploration Platform	Pixijs The HTML5 Creation Engine: Create beautiful digital content with the fastest, most flexible 2D WebGL renderer.
Quality	67/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	66/100 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	119 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