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Generate a Schema Registry compatibility report for Avro schemas in a project. Use when the user asks to check Avro compatibility, validate schema evolution, or report breaking changes. Do NOT trigger for Protobuf, JSON Schema, or Kafka client code generation.

65

Quality

82%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

72%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 content is commendably concise and well-structured for a simple skill, but it lacks executable commands/code and validation checkpoints for a batch operation. Adding a concrete registry query command and a validation step would lift the weaker dimensions.

Suggestions

Add an executable command or code snippet for querying Schema Registry (e.g., a curl POST to the `compatibility/check` endpoint) so Step 2 is copy-paste ready.

Include a validation checkpoint in the workflow — e.g., confirm the registry returned a result before emitting the report, or flag schemas that failed to fetch.

Specify how the Schema Registry location is 'configured' (env var, config file) so Step 2 is actionable rather than implicit.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, with every line earning its place and no padding or explanation of concepts Claude already knows.

5 / 5

Actionability

It gives concrete guidance (discover under `src/main/avro/`, run `compatibility/check`) but provides no executable commands or code to fetch schemas or query the registry, leaving key details missing.

3 / 5

Workflow Clarity

Steps 1–3 are clearly sequenced, but this batch operation (per-schema) has no validation or error-recovery checkpoint, so workflow clarity is capped at 3 per the batch-operation rule.

3 / 5

Progressive Disclosure

This simple under-50-line skill is well organized into clear sections with no need for external references, satisfying the simple-skill exception for progressive disclosure.

5 / 5

Total

16

/

20

Passed

Description

82%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.

The description is clear, third-person, and answers both 'what' and 'when' with concrete trigger phrases and explicit negative boundaries. Its main limitation is a single concrete action rather than a comprehensive list of capabilities.

DimensionReasoningScore

Specificity

Names the domain (Avro schemas, Schema Registry) and one concrete action ('Generate a Schema Registry compatibility report'), but does not list several specific actions, so it matches anchor 3 rather than 4.

3 / 5

Completeness

Explicitly answers 'what' (generate a compatibility report for Avro schemas) and 'when' (Use when the user asks to check Avro compatibility, validate schema evolution, or report breaking changes) with concrete trigger phrases.

5 / 5

Trigger Term Quality

Natural phrases like 'check Avro compatibility', 'validate schema evolution', and 'report breaking changes' give good keyword coverage, but file extensions (.avsc) and common synonyms are absent, keeping it below 5.

4 / 5

Distinctiveness Conflict Risk

A clear niche (Avro + Schema Registry compatibility) reinforced by an explicit exclusion ('Do NOT trigger for Protobuf, JSON Schema, or Kafka client code generation') yields minimal conflict risk.

5 / 5

Total

17

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
confluentinc/agent-skills
Reviewed

Table of Contents

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