Build SQL models with Sling Build — `sling build`, `sling_build.yml`, model selectors, materialization modes, incremental ranges, and dbt compatibility. Use when asked to author or run SQL models / transformations.
Create multi-step data workflows with Sling pipelines, and use hooks/steps in replications. Use when orchestrating multiple operations, adding hooks before/after replications or streams, executing SQL queries, sending HTTP webhooks, validating data with…
Sling Platform CLI — `sling platform jobs|execs|files|connections`, creating and scheduling jobs, activating/deactivating, checking run history, investigating failed executions, and pushing file fixes back to the platform. Also indexes docs for monitors…
Drive Sling from Python with the `sling` pip package — Sling, Replication, Pipeline and Connection classes, streaming records or DataFrames in/out, and orchestrator integration (Airflow, Dagster, scripts). Use when writing Python code that runs Sling, streams…
Configure data replications between sources and targets in Sling. Use when creating replication YAML files, setting up data sync, copying tables, moving data between databases and files, transforming/cleaning columns, adding hooks around streams, setting up…
Sling data platform — overview, MCP tools such as querying databases, CLI quick reference, connection setup, project layout, and troubleshooting. Use when asked to query databases via mcp, about Sling in general, what it does, how to use the MCP tools, when…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include…
Build REST API specifications for Sling data extraction. Use when creating API specs, configuring authentication (OAuth, API key, Bearer token, HMAC), setting up pagination (cursor, offset, page), processing responses, handling rate limits, chaining endpoints…