Teaches AI agents how to plan and build Qlerify workflows via the MCP server — domain model sync, workflow creation, aggregate extraction, code generation, and fast data export
Plugin mcp-companion from marketplace qlerify-plugins in Qlerify/qlerify-plugins. Commands read from the repo's manifest — 2 days ago.
code-generationGenerate production-ready code from a Qlerify domain model. Use when the user asks to "generate code from the model", "implement the workflow", "scaffold from Qlerify", "build the aggregate", "code up the domain model", "create the app from the model", or after a workflow has been modeled or extract
downloadThis skill should be used when the user asks to "save to file", "download", "export", "store in file", or any request that involves getting data from Qlerify and saving it locally. Bypasses AI processing and is ~100x faster than MCP tools for large data exports.
syncKeep a codebase and its Qlerify domain model in agreement, in both directions. Use when the user asks to "sync domain model", "update Qlerify", "push changes to Qlerify", "sync schemas/entities/domain events", or after implementing features that add or change entities, API endpoints, commands, domai
workflow-creationCreate, extend, validate, and improve Qlerify workflow diagrams and domain models, including domain events, roles, read models, commands, policies, aggregates, entities, value objects, attributes, given-when-then scenarios, bounded contexts, and invariants. Use when the task involves event storming,
Teaches AI agents how to work with Qlerify through its MCP servers: model workflows in the Qlerify modeler (workflow creation, aggregate extraction, code generation, domain model sync and fast data export) and build the connectors that fill them in Qlerify Live
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