self-improving-analytics
About this skill
Captures data quality issues, metric drift, pipeline failures, misleading visualizations, metric definition mismatches, and data freshness problems to enable continuous analytics improvement. Use when: (1) An ETL/ELT pipeline fails, (2) A metric value shows anomalous behavior, (3) Two teams define the same metric differently, (4) A dashboard shows wrong or misleading data, (5) A data freshness SLA is missed, (6) A schema change breaks downstream consumers.
Security
This skill was reviewed and published through ClawHub's own moderation and security scanning pipeline before being listed on their registry. ClawHub checks for malicious code, dependency vulnerabilities, and policy violations.
When you run npx @agentpowers/cli install self-improving-analytics, AgentPowers downloads the package to a sandbox and runs a full security scan (ClamAV, Snyk, GuardDog, VirusTotal) before allowing installation. If the scan fails, installation is blocked.
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