Claude-skill-registry Freshness Latency SLOs

See the main Data Freshness and Latency skill for comprehensive coverage of freshness monitoring and SLO tracking.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/freshness-latency-slos" ~/.claude/skills/majiayu000-claude-skill-registry-freshness-latency-slos && rm -rf "$T"
manifest: skills/data/freshness-latency-slos/SKILL.md
source content

Freshness Latency SLOs

This skill is covered in detail in the main Data Freshness and Latency skill.

Please refer to:

43-data-reliability/freshness-latency/SKILL.md

That skill covers:

  • Freshness vs latency distinction
  • Freshness requirements by use case
  • Measuring data freshness (SQL, Python, dbt)
  • Latency measurement (end-to-end, per-stage, P50/P95/P99)
  • Freshness monitoring and alerting
  • Watermark tracking for streaming data
  • Improving freshness (CDC, incremental updates, parallel processing)
  • Trade-offs (freshness vs cost/completeness/accuracy)
  • Freshness SLAs and SLOs
  • SLO compliance measurement
  • Tools (Monte Carlo, Grafana, dbt freshness tests)
  • Handling stale data
  • Real freshness issues and solutions

Related Skills

  • 43-data-reliability/freshness-latency
    (Main skill)
  • 43-data-reliability/data-quality-monitoring
  • 43-data-reliability/data-contracts