Cqrs Implementation
A Claude skill from frank-luongt/faos-skills-marketplace.
Install
$ agentstack add skill-frank-luongt-faos-skills-marketplace-cqrs-implementation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-frank-luongt-faos-skills-marketplace-cqrs-implementation) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
name: cqrs-implementation description: Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems. tags: [architecture, cqrs] ---
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.
Resources
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: frank-luongt
- Source: frank-luongt/faos-skills-marketplace
- License: Apache-2.0
- Homepage: https://faosx.ai/skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.