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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.

Quality

68%

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tessl review fix ./.agent/skills/cqrs-implementation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

46%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-organized and token-efficient with clear use/don't-use sections, but the instructions are abstract directives with no concrete guidance, and progressive disclosure fails at its core job: the single referenced playbook file does not exist in the bundle and is cited at two conflicting paths. The workflow lacks validation checkpoints or failure-recovery loops despite covering projection synchronization, an operation prone to drift and failure.

Suggestions

Fix the dangling references: create the playbook at a single canonical path (e.g. references/implementation-playbook.md) and update both the Instructions, Resources, and Knowledge Modules sections to point to it consistently.

Add concrete, executable guidance to the Instructions — e.g. a named projection pattern, a synchronization approach (change-data-capture vs event subscription), or a short code sketch — instead of abstract directives like 'Implement read model projections and synchronization'.

Add validation checkpoints with feedback loops, e.g. how to detect projection lag or rebuild a read model after failure, rather than the single unelaborated 'Validate performance, recovery, and failure modes' bullet.

Trim the duplication between the 'Use this skill when' bullets and the frontmatter description, and merge the Resources and Knowledge Modules sections into one.

DimensionReasoningScore

Conciseness

The body is lean with no over-explanation of CQRS concepts, but the 'Use this skill when' bullets largely restate the frontmatter description, and the playbook is referenced twice in different sections at inconsistent paths.

4 / 5

Actionability

The Instructions are high-level directives ('Define command and query models with clear boundaries', 'Implement read model projections and synchronization') with no concrete patterns, commands, or examples; all specifics are deferred to an external playbook, leaving minimal concrete guidance in the body.

2 / 5

Workflow Clarity

A rough sequence is present (identify → define → implement → validate) and validation is named ('Validate performance, recovery, and failure modes'), but there are no explicit checkpoints or feedback loops describing what to do when synchronization or validation fails.

3 / 5

Progressive Disclosure

Scored against the actual bundle: no bundle files or directories exist, so the only detailed reference is dangling, and it is duplicated at two inconsistent paths ('resources/implementation-playbook.md' vs './sub-skills/implementation-playbook.md'), breaking navigation to the deferred content.

2 / 5

Total

11

/

20

Passed

Description

78%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description in third-person voice that clearly states both the capability and explicit 'Use when' triggers with concrete, natural phrases. Its main weaknesses are a single-action 'what' statement and one overly broad trigger ('optimizing query performance') that could conflict with general performance-tuning skills.

DimensionReasoningScore

Specificity

Names the domain ('Command Query Responsibility Segregation') with one concrete action ('Implement'), but the 'Use when' clause lists trigger scenarios rather than additional capabilities, so coverage of concrete actions is not comprehensive.

3 / 5

Completeness

Explicitly 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 three concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural phrases users would say ('separating read and write models', 'optimizing query performance', 'event-sourced systems'), but misses common variations such as 'event sourcing', 'projections', or 'read/write side'.

4 / 5

Distinctiveness Conflict Risk

CQRS is a distinct niche with clear triggers, but 'optimizing query performance' is broad enough to overlap with general database- or query-performance skills, presenting minor conflict risk.

4 / 5

Total

16

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 1 missing

Warning

Total

14

/

16

Passed

Repository

Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI

Path

.agent/skills/cqrs-implementation/SKILL.md

Reviewed

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