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.
Install with Tessl CLI
npx tessl i github:Dicklesworthstone/pi_agent_rust --skill cqrs-implementation77
Quality
70%
Does it follow best practices?
Impact
87%
1.64xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/backend-development/skills/cqrs-implementation/SKILL.mdDiscovery
75%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a competent description that clearly communicates the skill's purpose and includes explicit 'Use when' triggers. However, it could be strengthened by listing more concrete implementation actions and including additional natural trigger terms that developers commonly use when discussing CQRS patterns.
Suggestions
Add more specific concrete actions like 'create command handlers, build read projections, implement event stores, design aggregate boundaries'
Include additional trigger terms users might naturally say: 'command handler', 'read projection', 'eventual consistency', 'domain events', 'aggregate'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (CQRS) and mentions some actions like 'separating read and write models' and 'optimizing query performance', but doesn't list multiple concrete implementation actions (e.g., creating command handlers, building read projections, implementing event stores). | 2 / 3 |
Completeness | Clearly answers both what ('Implement Command Query Responsibility Segregation for scalable architectures') and when ('Use when separating read and write models, optimizing query performance, or building event-sourced systems') with explicit trigger guidance. | 3 / 3 |
Trigger Term Quality | Includes relevant terms like 'CQRS', 'read and write models', 'query performance', 'event-sourced systems', but misses common variations users might say like 'command handler', 'read model', 'write model', 'projection', 'eventual consistency', or the full acronym expansion. | 2 / 3 |
Distinctiveness Conflict Risk | CQRS is a specific architectural pattern with distinct terminology; unlikely to conflict with general coding skills or other architecture patterns. The triggers are specific enough to avoid false matches. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides comprehensive, executable CQRS implementation code with good coverage of commands, queries, handlers, and synchronization patterns. However, it's verbose for a skill file, lacks explicit implementation workflow with validation steps, and would benefit from splitting advanced topics into separate reference files. The code quality is high but the document structure doesn't optimize for Claude's token efficiency.
Suggestions
Remove the 'When to Use This Skill' section - Claude can infer appropriate use cases from the content itself
Add an explicit implementation workflow section with numbered steps and validation checkpoints (e.g., 'Verify command handler works before adding projections')
Split Templates 4-5 (Read Model Synchronization, Eventual Consistency) into a separate ADVANCED.md file and reference it
Remove or condense the ASCII architecture diagram - the component table already conveys the same information more efficiently
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient but includes some unnecessary elements like the 'When to Use This Skill' section (Claude can infer this) and the architecture diagram that adds visual bulk. The templates are comprehensive but could be tightened. | 2 / 3 |
Actionability | Provides fully executable Python code with complete implementations for commands, queries, handlers, FastAPI integration, and synchronization. Code is copy-paste ready with proper imports and type hints. | 3 / 3 |
Workflow Clarity | While the templates show individual components clearly, there's no explicit step-by-step workflow for implementing CQRS from scratch. Missing validation checkpoints for the overall implementation process and no guidance on verifying the system works correctly. | 2 / 3 |
Progressive Disclosure | Content is reasonably structured with templates and sections, but it's a monolithic document with 400+ lines. The advanced topics like eventual consistency handling could be split into separate files. External links are provided but internal file references for detailed topics are missing. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (555 lines); consider splitting into references/ and linking | Warning |
Total | 10 / 11 Passed | |
- Reviewed
Table of Contents
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