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azure-communication-callautomation-java

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

60

Quality

71%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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

Quality

Content

76%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 highly actionable with executable examples and efficient structure, but it is a reference catalog lacking sequenced validation checkpoints for destructive call operations.

Suggestions

Add explicit validation/verification steps for destructive operations (e.g. check call state before hang up, confirm transfer succeeded via webhook event).

Consider moving the per-operation API catalog into a references/ file and keeping SKILL.md as an overview with a sequenced end-to-end IVR workflow.

Replace the generic 'When to Use' line with concrete trigger guidance tied to the operations shown.

DimensionReasoningScore

Conciseness

The body is code-first and lean with minimal explanatory padding, though the generic 'When to Use' and 'Limitations' boilerplate could be trimmed.

4 / 5

Actionability

It provides copy-paste-ready, executable Java for the common cases (create/answer calls, play, recognize DTMF/speech, record, transfer, hang up) with only necessary placeholders.

5 / 5

Workflow Clarity

The body is a task catalog rather than a sequenced workflow, and destructive operations (hang up, transfer) lack validation/verification checkpoints, capping the score at 3.

3 / 5

Progressive Disclosure

No bundle files exist; the single SKILL.md is well-organized with clear section headers and no nested references, though the large inlined API catalog could justify splitting into reference files.

4 / 5

Total

16

/

20

Passed

Description

66%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 specific and action-oriented with good natural trigger terms, but it omits an explicit 'when to use' clause, which the rubric caps at completeness 3.

Suggestions

Append a 'Use when...' clause naming concrete triggers, e.g. 'Use when building Java IVR, call routing, or ACS call recording workflows.'

Add the platform/language qualifier ('Azure Communication Services, Java') to sharpen distinctiveness from generic telephony skills.

Include a synonym or file/dependency hint (e.g. 'azure-communication-callautomation') to broaden trigger coverage.

DimensionReasoningScore

Specificity

The description lists several concrete actions ('IVR systems, call routing, recording, and AI-powered interactions') rather than vague language, with minor coverage gaps.

4 / 5

Completeness

It clearly states what the skill does but lacks a 'Use when...' clause or equivalent explicit trigger guidance, capping completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Natural terms like 'IVR', 'call routing', and 'recording' appear, but synonyms and platform-specific variations users might say are missing.

4 / 5

Distinctiveness Conflict Risk

The call-automation niche is mostly distinct with minimal conflict risk, though omitting the Java/Azure platform qualifier leaves minor overlap with related telephony skills.

4 / 5

Total

15

/

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

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