azure-communication-callautomation-java
Build server-side call automation workflows including IVR systems, call routing, recording, and AI-powered interactions.
57
66%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/azure-communication-callautomation-java/SKILL.mdQuality
Discovery
67%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 a good job listing specific capabilities in a well-defined niche (call automation/IVR), making it distinctive and concrete. However, it lacks an explicit 'Use when...' clause and could benefit from additional natural trigger terms that users would commonly use when requesting this type of work.
Suggestions
Add a 'Use when...' clause, e.g., 'Use when the user needs to build phone systems, handle incoming/outgoing calls programmatically, or set up telephony workflows.'
Include additional natural trigger terms like 'phone', 'telephony', 'voice', 'VoIP', 'Twilio', 'DTMF', or 'interactive voice response' to improve keyword coverage.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'IVR systems, call routing, recording, and AI-powered interactions' alongside the broader framing 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 dimension at 2 per the rubric. | 2 / 3 |
Trigger Term Quality | Includes relevant terms like 'IVR', 'call routing', 'recording', and 'call automation', but misses common user variations such as 'phone', 'telephony', 'voice', 'DTMF', 'Twilio', or 'VoIP' that users might naturally use. | 2 / 3 |
Distinctiveness Conflict Risk | The domain of server-side call automation with IVR systems and call routing is a clear, distinct niche that is unlikely to conflict with other skills. | 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 is a solid API reference skill with excellent actionability — every section has executable Java code with proper imports and realistic parameters. Its main weaknesses are the lack of an end-to-end workflow showing how the pieces connect (critical for IVR/call automation), and the monolithic structure that could benefit from progressive disclosure for this breadth of content. The boilerplate sections at the end (Trigger Phrases, When to Use, Limitations) 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/timeouts, with explicit validation checkpoints between async steps.
Remove the 'Trigger Phrases', 'When to Use', and 'Limitations' boilerplate sections — they consume tokens without providing actionable guidance.
Consider splitting into a concise SKILL.md overview with quick-start examples, and a separate REFERENCE.md for the full API surface (recording, transfers, speech recognition, etc.).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with concrete code examples, but includes some unnecessary sections like 'Trigger Phrases', 'When to Use', and 'Limitations' boilerplate that add no value. The 'Key Concepts' table is helpful but the descriptions are somewhat obvious. The overall length (~200 lines) is reasonable for the breadth of API surface covered, but could be tightened. | 2 / 3 |
Actionability | Every section provides fully executable Java code with proper imports, concrete method calls, and realistic parameter values. The examples cover the full lifecycle from client creation through call handling, media operations, recording, and event processing — all copy-paste ready. | 3 / 3 |
Workflow Clarity | Individual operations are clearly shown but there's no end-to-end workflow sequence showing how these pieces connect (e.g., answer call → play prompt → recognize DTMF → route based on input). The event handling section shows how to process callbacks but doesn't tie it into a complete IVR flow with validation checkpoints. For a system involving webhooks and async events, explicit sequencing and error recovery loops are important but missing. | 2 / 3 |
Progressive Disclosure | The content is a long monolithic file with no references to supporting documents. For a skill this comprehensive covering client setup, outbound calls, inbound calls, media, DTMF, speech, recording, transfers, and events, splitting advanced topics (e.g., recording workflows, AI-powered speech) into separate files would improve navigation. However, the section headers provide reasonable organization within the single file. | 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 |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- sickn33/antigravity-awesome-skills
- Commit
9e5d4dd
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.