Skillquality 0.70
cqrs-implementation
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
Price
free
Protocol
skill
Verified
no
What it does
CQRS Implementation
Comprehensive guide to implementing CQRS (Command Query Responsibility Segregation) patterns.
Use this skill when
- Separating read and write concerns
- Scaling reads independently from writes
- Building event-sourced systems
- Optimizing complex query scenarios
- Different read/write data models are needed
- High-performance reporting is required
Do not use this skill when
- The domain is simple and CRUD is sufficient
- You cannot operate separate read/write models
- Strong immediate consistency is required everywhere
Instructions
- Identify read/write workloads and consistency needs.
- Define command and query models with clear boundaries.
- Implement read model projections and synchronization.
- Validate performance, recovery, and failure modes.
- If detailed patterns are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed CQRS patterns and templates.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Capabilities
skillsource-sickn33skill-cqrs-implementationtopic-agent-skillstopic-agentic-skillstopic-ai-agent-skillstopic-ai-agentstopic-ai-codingtopic-ai-workflowstopic-antigravitytopic-antigravity-skillstopic-claude-codetopic-claude-code-skillstopic-codex-clitopic-codex-skills
Install
Installnpx skills add sickn33/antigravity-awesome-skills
Transportskills-sh
Protocolskill
Quality
0.70/ 1.00
deterministic score 0.70 from registry signals: · indexed on github topic:agent-skills · 34831 github stars · SKILL.md body (1,295 chars)
Provenance
Indexed fromgithub
Enriched2026-04-24 06:50:58Z · deterministic:skill-github:v1 · v1
First seen2026-04-18
Last seen2026-04-24