agentleFS
kimtthkimtth/ms-fabric-skills-dev-starter/.agents/skills/eventstream-authoring-cli/SKILL.md

eventstream-authoring-cli

Skill2 starsChanged 6 months agoNo licenceView on GitHub

Create, wire, and publish Microsoft Fabric Eventstream real-time event streaming topologies via the Fabric Items REST API. Build graph-based definitions with 25 source types (Event Hubs, IoT Hub, CDC connectors, Kafka, SampleData), 8 transformation operators (Filter, Aggregate, GroupBy, Join, ManageFields, Union, Expand, SQL), 4 destination types (Lakehouse Delta, Eventhouse, Activator, Custom Endpoint), and DefaultStream/DerivedStream routing. Use when the user wants to: (1) author or publish an Eventstream topology, (2) add CDC sources with SQL-based Debezium payload flattening, (3) assemble multi-table fan-out routing, (4) modify or delete Eventstream definitions. Triggers: "create eventstream", "deploy eventstream", "design eventstream topology", "CDC source", "eventstream operator", "real-time ingestion pipeline", "eventstream definition", "update eventstream".

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 9 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.