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azure-ai-projects-java

Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.

54

Quality

61%

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tessl review fix ./skills/azure-ai-projects-java/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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 an actionable, well-structured SDK reference with concrete Java examples and clear error handling, but it reads as a flat catalog of operations rather than a sequenced workflow with validation checkpoints, and a few code snippets have small gaps.

Suggestions

Fix the error-handling example so `version` is defined before use in `indexesClient.get(indexName, version)`.

Verify the 'Access OpenAI Evaluations' snippet (`com.openai.services.EvalService`, `evaluationsClient.getOpenAIClient()`) reflects real APIs or replace it with the actual evaluation API call.

Add a brief validation/confirmation step after the create-or-update index operation (e.g. fetch and print the created index version) to give the create flow an explicit checkpoint.

DimensionReasoningScore

Conciseness

The body is largely lean code examples with minimal framing prose and avoids explaining concepts Claude already knows; only the generic 'When to Use'/'Limitations' boilerplate footer could be trimmed, keeping this just below 5.

4 / 5

Actionability

Provides concrete, copy-paste-ready Java for installation, auth, sub-client building, listing, and create-or-update operations, with minor gaps (e.g. undefined `version` in the error-handling snippet and a dubious `getOpenAIClient()` example).

4 / 5

Workflow Clarity

Individual operations are unambiguous and an error-handling pattern is shown, but this is reference material with no end-to-end multi-step workflow or explicit validation checkpoints for the create/mutate operations.

3 / 5

Progressive Disclosure

Well-organized into clearly labeled sections (Installation, Authentication, Client Hierarchy, Core Operations, Error Handling, Reference Links) with external links collected in a table; no bundle files exist, so structure is single-level and easy to navigate, with only minor room to split the client reference.

4 / 5

Total

15

/

20

Passed

Description

53%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 clearly states what the SDK does and names its capability areas, but omits any explicit 'Use when' trigger guidance, capping completeness and weakening trigger-term quality.

Suggestions

Add an explicit 'Use when...' clause naming natural triggers, e.g. 'Use when working with Azure AI Foundry projects in Java to manage connections, datasets, indexes, or evaluations.'

Reframe the capability list as actions (enumerate connections, upload datasets, create indexes, run evaluations) to lift specificity above 3.

Include natural synonyms users might say ('Azure AI Foundry', 'AI Foundry Java SDK') to broaden trigger-term coverage.

DimensionReasoningScore

Specificity

Names the domain ('Azure AI Projects SDK for Java', 'Azure AI Foundry project management') and lists four concrete capability areas ('connections, datasets, indexes, and evaluations'), but these are resource nouns rather than specific actions, so coverage is not comprehensive.

3 / 5

Completeness

The 'what' is clearly stated ('High-level SDK for Azure AI Foundry project management including...') but there is no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Contains the core terms a user would say ('Azure AI Projects', 'Java', 'Azure AI Foundry') plus the resource types, but lacks common natural phrasings and synonyms a user might actually utter.

3 / 5

Distinctiveness Conflict Risk

The niche is clear and specific (Azure AI Projects SDK for Java), with only minor overlap risk against other Azure SDK skills; it would not trigger for unrelated skills.

4 / 5

Total

13

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
sickn33/antigravity-awesome-skills
Reviewed

Table of Contents

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