Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
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 | signoz-setting-up-observability Run the full end-to-end observability setup for a service after its telemetry is already flowing into SigNoz — sequence SLI/SLO capture, data exploration (RED/USE), focused dashboards, saved Explorer views, burn-rate and absent-data alerts, and a tuning loop into one opinionated, SLO-aware workflow. Make sure to use this skill whenever the user says "set up observability after ingestion", "now that data is flowing, give me dashboards and alerts", "onboard this service to SigNoz end-to-end", "I want the full monitoring setup for X", or asks to go from raw telemetry to a complete dashboard + alerts + views package — even if they don't say "observability" explicitly. This is the orchestration layer: for a single artifact (just a dashboard, just one alert, just a saved view, or one static threshold alert, or a one-off query) use signoz-creating-dashboards, signoz-creating-alerts, signoz-managing-views, or signoz-generating-queries directly. | Superset Apache Superset is a Data Visualization and Data Exploration Platform |
|---|---|---|
| Quality | 58/100 Promising | 100/100 Excellent |
| Decision verdict | 57/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 15 stars Verified outcomes are shown on each skill page | 75K stars Verified outcomes are shown on each skill page |
| Freshness | Aug 19, 2026 | Sep 7, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code, OpenAI Agents, Cursor | TypeScript, BI, Claude Code |
| Warnings | Low GitHub adoption signal · The SKILL.md excerpt is truncated, but the provided content is clear and complete for review. · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository 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 |
| Install | $ npx skills add SigNoz/agent-skills --skill signoz-setting-up-observability | $ npx skills add apache/superset |