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azure-communication-callautomation-java

Build server-side call automation workflows including IVR systems, call routing, recording, and AI-powered interactions.

57

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./plugins/antigravity-awesome-skills-claude/skills/azure-communication-callautomation-java/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

64%Scale 1-3

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

This is a solid API reference skill with excellent actionability—every section has executable Java code with proper imports and realistic usage. However, it reads more like API documentation than a workflow guide: it lacks an end-to-end IVR workflow showing how the pieces connect, and the monolithic structure could benefit from progressive disclosure for this breadth of content. The boilerplate 'Trigger Phrases', 'When to Use', and 'Limitations' sections waste tokens without adding value.

Suggestions

Add an end-to-end IVR workflow section showing the complete sequence: answer call → play greeting → recognize DTMF → route based on input → handle errors, with explicit validation checkpoints between steps.

Remove the 'Trigger Phrases', 'When to Use', and 'Limitations' boilerplate sections which consume tokens without providing actionable guidance.

Split detailed sections (recording, speech recognition, event handling) into separate referenced files, keeping SKILL.md as a concise overview with quick-start examples and links to detailed guides.

DimensionReasoningScore

Conciseness

The skill is mostly efficient with concrete code examples, but includes some unnecessary sections like 'Trigger Phrases', 'When to Use', and 'Limitations' that add little value. The 'Key Concepts' table is helpful but the descriptions are somewhat obvious. The repeated description in the header duplicates the frontmatter.

2 / 3

Actionability

All code examples are fully executable Java snippets with proper imports, concrete method calls, and realistic parameters. Each section provides copy-paste ready code covering the full API surface: creating calls, answering, playing audio, DTMF recognition, speech recognition, recording, transfers, event handling, and error handling.

3 / 3

Workflow Clarity

Individual operations are clearly shown but there's no end-to-end workflow showing how these pieces connect (e.g., answer call → play prompt → recognize DTMF → route based on input). The event handling section hints at a workflow but lacks explicit sequencing. For a call automation system involving multi-step processes and potentially destructive operations (hanging up, transferring), there are no validation checkpoints or feedback loops.

2 / 3

Progressive Disclosure

The content is a long monolithic document (~200 lines of code examples) with no references to supporting files. For a skill this comprehensive covering IVR, recording, speech recognition, and event handling, the content would benefit from being split into focused sub-documents. However, the section headers provide reasonable navigation within the single file.

2 / 3

Total

9

/

12

Passed

Description

67%Scale 1-3

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 does well at specifying concrete capabilities in a clearly distinct domain (telephony/call automation). Its main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know exactly when to select this skill. Adding natural trigger terms that users would actually say would also improve selection accuracy.

Suggestions

Add a 'Use when...' clause, e.g., 'Use when the user needs to build phone systems, voice menus, or automated call handling.'

Include additional natural trigger terms users might say, such as 'phone system', 'telephony', 'voice menu', 'DTMF', 'Twilio', or 'automated calls'.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'IVR systems, call routing, recording, and AI-powered interactions' along with the broader context of 'server-side call automation workflows'.

3 / 3

Completeness

Clearly answers 'what does this do' with specific capabilities, but lacks an explicit 'Use when...' clause or equivalent trigger guidance, which caps this at 2 per the rubric guidelines.

2 / 3

Trigger Term Quality

Includes relevant terms like 'IVR', 'call routing', 'recording', and 'call automation', but misses common user variations like 'phone system', 'voice menu', 'telephony', 'DTMF', 'Twilio', or specific framework names users might mention.

2 / 3

Distinctiveness Conflict Risk

Server-side call automation with IVR systems and call routing is a very distinct niche that is unlikely to conflict with other skills. The domain is specific enough to clearly differentiate from general communication or AI interaction skills.

3 / 3

Total

10

/

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

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
popey/claude-code-skills
Reviewed

Table of Contents

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