Agent skills

Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics

Database version control and change management patterns.

Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL…

Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen…

Execute Databricks primary workflow: Delta Lake ETL pipelines.

Create, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build…

Execute Databricks incident response procedures with triage, mitigation, and postmortem.

Implement Databricks API rate limiting, backoff, and idempotency patterns.

Manage Databricks workspace artifacts via CLI

APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis.

Guides developers building Datadog Apps with TypeScript, React, the @datadog/apps scaffolder, and @datadog/vite-plugin.

Instrument browser-based web applications with Datadog Browser RUM.

Datadog Browser SDK — RUM, Logs, Session Replay, profiling, product analytics, and error tracking setup, configuration, and migration.

Datadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.

Set up the Datadog Google Cloud integration with Terraform - creates a service account in the host project, lets Datadog's delegate…

Log management - search, archives, metrics, and cost control.

Monitor management - list, search, file-based create, and alerting best practices.

Recommends the right Datadog products for a codebase and/or a stated goal — grounded in a tech-stack→product map and a use-case→product…

Research Langfuse production telemetry with reusable Datadog queries.

Datadog skills for AI agents. Essential monitoring, logging, tracing and observability.

Complete browser automation with Playwright.