Design and validate CQRS Query read models for Information Display Frames.
npx skills add https://github.com/knowlet/skills --skill query-sub-agent
Please help me install this Agent Skill. Skill: query-sub-agent Source: https://github.com/knowlet/skills/tree/main/skills/query-sub-agent Command: npx skills add https://github.com/knowlet/skills --skill query-sub-agent
This Skill designs and reviews Query/Read Model patterns for the IDF frame, ensuring read models are efficient, testable, and decoupled from domain logic.
Provide a docs/specs/get-order-details.yaml and language preference to generate a GetOrderByIdQuery skeleton under src/application/queries/.
High-intent search queries and answers about installing and using this skill.
A read model in CQRS is a denormalized data structure optimized for query performance. Design it by mapping query inputs to cached projections, defining which domain events populate the model, and applying caching strategies to meet acceptance criteria. This Skill generates read-model skeletons from your frame and requirements specs.
A query handler is the entry point that accepts a query request and routes it to the appropriate read model. The read model is the cached, denormalized data store backing that handler. Together they form the query side of CQRS, decoupling reads from domain logic.
Caching strategies define how and when projections are refreshed. Specify cache duration, invalidation triggers, and storage location in your read-model design. This Skill reviews and validates caching decisions against performance constraints and generates tested query implementations.
This Skill is purpose-built for CQRS query-side patterns within Information Display Frames. It requires frame.yaml specifications and reads machine/query.yaml configs. For non-CQRS query optimization, you'd need a different approach outside this pattern.
Provide docs/specs/{feature-name}/ containing frame.yaml, requirements/, machine/query.yaml, read-model.yaml, and any cross-context files. The Skill reads these specs to generate or review query handler and read-model code skeletons with performance and caching details.
The Skill generates test skeletons and validates query handlers against acceptance criteria from your requirements. It ensures projections are testable, caching is verifiable, and query performance meets specified constraints before deployment.
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