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.mdsource 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
(Main skill)43-data-reliability/freshness-latency43-data-reliability/data-quality-monitoring43-data-reliability/data-contracts