azure-ai-translation-document-py
Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale.
84
77%
Does it follow best practices?
Impact
100%
1.07xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/azure-ai-translation-document-py/SKILL.mdQuality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid description that clearly identifies its niche (Azure AI Document Translation SDK for batch document translation) and provides explicit trigger guidance with file format keywords. It could be slightly improved by listing more specific actions beyond just 'translating' to better convey the full range of SDK capabilities.
Suggestions
Add more specific concrete actions such as 'monitor translation jobs, manage glossaries, check translation status' to improve specificity beyond the single action of translating.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Azure AI Document Translation SDK) and the core action (batch translation of documents with format preservation), but doesn't list multiple specific concrete actions beyond translation—e.g., no mention of monitoring translation status, managing glossaries, or handling specific API operations. | 2 / 3 |
Completeness | Clearly answers both 'what' (Azure AI Document Translation SDK for batch translation with format preservation) and 'when' ('Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale'), with explicit trigger guidance via the 'Use for...' clause. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'translate', 'documents', 'Word', 'PDF', 'Excel', 'PowerPoint', 'batch translation', 'document formats', and 'Azure AI'. These cover common variations a user would naturally mention when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific mention of 'Azure AI Document Translation SDK' and 'batch translation' with format preservation. This is unlikely to conflict with general translation skills or other document processing skills. | 3 / 3 |
Total | 11 / 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, executable code examples covering the full breadth of the Azure Document Translation SDK. Its main weaknesses are the lack of a cohesive end-to-end workflow with validation/error-recovery checkpoints for batch operations, and the monolithic structure that could benefit from progressive disclosure. Some minor verbosity exists in redundant sections and obvious best practices.
Suggestions
Add an explicit end-to-end workflow section with numbered steps: submit batch → poll until complete → iterate document statuses for errors → handle/retry failures, with clear validation checkpoints.
Move detailed reference content (supported formats table, glossary usage, async client, supported languages query) into separate reference files and link to them from the main skill.
Remove the 'When to Use' section (adds no value) and trim the 'Best Practices' to only non-obvious, SDK-specific guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient with good code examples, but includes some unnecessary sections like explaining what supported formats are (the table duplicates the programmatic query), the 'When to Use' section is a meaningless tautology, and the 'Best Practices' section contains some obvious advice Claude would already know. | 2 / 3 |
Actionability | The skill provides fully executable, copy-paste ready code examples for every operation: authentication, batch translation, single document translation, glossary usage, status checking, cancellation, and async usage. All examples include proper imports and are complete. | 3 / 3 |
Workflow Clarity | While individual operations are clear, the batch translation workflow lacks explicit validation checkpoints and error recovery loops. For a batch/destructive operation (translating documents at scale), there should be a clear sequence like: submit → poll status → check document-level errors → retry failed documents. The pieces exist across separate sections but aren't tied into a cohesive workflow with feedback loops. | 2 / 3 |
Progressive Disclosure | The content is a long monolithic file (~200 lines) with many sections that could benefit from being split into separate reference files (e.g., supported formats, async usage, glossary details). There are no references to external files for advanced topics, and the flat structure makes it harder to navigate quickly. | 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
45d6e81
- Reviewed
Table of Contents
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