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.
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 | Superset Apache Superset is a Data Visualization and Data Exploration Platform | Whodb A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic Search, and Clickhouse with Chat interface | Graphify AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph. | Crate CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene. |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 73K stars 0 installs | 4.9K stars 0 installs | 66K stars 0 installs | 4.4K stars 0 installs |
| Freshness | Jun 12, 2026 | Jun 12, 2026 | Jun 11, 2026 | Jun 12, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | TypeScript, Data Analysis, Claude Code | Go, Data Analysis, Claude Code | Python, Claude Code, OpenAI Agents, Cursor | Java, Vector Search, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Database and SQL workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 2 views 0 install copies |
| Install | $ npx skills add apache/superset | $ npx skills add clidey/whodb | $ npx skills add safishamsi/graphify | $ npx skills add crate/crate |