Manage MongoDB Atlas Stream Processing workspaces, processors, connections, and collection checks via natural language requests.
npx skills add https://github.com/kgorman/asp_claude --skill asp
Please help me install this Agent Skill. Skill: asp Source: https://github.com/kgorman/asp_claude/tree/main/skills/asp Command: npx skills add https://github.com/kgorman/asp_claude --skill asp
This Skill helps you manage MongoDB Atlas Stream Processing workflows without memorizing CLI syntax or pipeline details. It turns natural language requests into precise actions for creating, starting, stopping, inspecting, and tuning streaming processors.
Ask Claude to list your stream processing workspaces or start a named processor with auto tier selection.
High-intent search queries and answers about installing and using this skill.
You can manage MongoDB Atlas Stream Processing workspaces using natural language requests to list, create, inspect, and delete ASP workspaces, which translates your commands into precise deterministic CLI actions without requiring manual syntax memorization.
To control MongoDB Atlas stream processors, you need the sp CLI installed, valid Atlas API credentials, and valid processor or workspace configuration files to execute deterministic management tasks successfully.
Yes, you can start a MongoDB stream processor with automatic tier selection, which profiles performance, reviews tier recommendations, and tunes the processor to the right tier after a pipeline change.
To verify data flow through collections in an Atlas Stream Processing pipeline, you can inspect processor stats, profile performance, and check materialized views to ensure streaming pipeline workloads are routing data correctly.
The best way to stop and restart MongoDB streaming processors is through lifecycle control operations that allow you to halt, restart, and remove processors using natural language instructions rather than manual CLI commands.
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