dt-dql-essentials
Core DQL syntax, pitfalls, query patterns, and query optimization. Load to write, build, fix, or OPTIMIZE a DQL query — prevents syntax errors and makes queries faster, more efficient, and cheaper (less data scanned = lower query consumption/cost per run). Covers fetch commands, data models, field namespaces, time alignment, entity/smartscape patterns, metric discovery, and performance/cost optimization (filter early, bucket filters, short time ranges, field selection, sampling, cardinality). Trigger: "write/build/fix a DQL query", "DQL syntax", "query logs/spans/metrics", "create a timeseries", "optimize my DQL", "make my query faster/cheaper", "reduce DQL cost/consumption/scanned data", "keep DQL cost under control". Do NOT use to explain an existing query or answer product questions. For MONITORING a tenant's ACTUAL query consumption/billing (how much queries cost, who scanned most, cost trends) use dt-platform-costs — this tunes the query text, not billing data.
Install
git clone https://github.com/Dynatrace/dynatrace-for-ai /tmp/dynatrace-for-ai && ln -s /tmp/dynatrace-for-ai/skills/dt-dql-essentials ~/.claude/skills/dt-dql-essentialsFrom README
DQL Essentials Skill DQL is a pipeline-based query language. Queries chain commands with | to filter, transform, and aggregate data. DQL has unique syntax that differs from SQL — load this skill before writing any DQL query.
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