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.
81
77%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
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 skill description that clearly identifies its niche (Azure AI Document Translation SDK for batch document translation) and provides explicit trigger guidance with file format keywords. Its main weakness is that it could be more specific about the concrete actions/operations it supports beyond just 'translation', such as status monitoring, glossary management, or supported source/target languages.
Suggestions
Add more specific concrete actions beyond 'batch translation', such as 'monitor translation jobs, manage glossaries, check supported formats and languages' to improve specificity.
| 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 an explicit 'Use for...' trigger clause. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'translate', 'translation', 'Word', 'PDF', 'Excel', 'PowerPoint', 'document formats', 'batch', and 'Azure'. These cover common variations of how users would describe this need. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the specific combination of 'Azure AI Document Translation SDK', 'batch translation', and '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 actionability—every section has executable Python code with proper imports and realistic usage patterns. However, it reads more like comprehensive SDK documentation than a focused skill, lacking a clear end-to-end workflow with validation checkpoints for batch translation operations. The content could be tightened by removing boilerplate sections and splitting advanced features into referenced files.
Suggestions
Add an explicit end-to-end workflow section with numbered steps including validation checkpoints: e.g., 1) verify supported formats, 2) start translation, 3) poll status, 4) check document-level errors, 5) handle failures and retry.
Split advanced topics (glossaries, async client, supported formats queries) into a separate REFERENCE.md and link to it from the main skill.
Remove the generic 'When to Use' and 'Limitations' boilerplate sections—they add no actionable information and waste tokens.
Consolidate the two 'Supported Formats' sections (the table and the programmatic query) into one, preferring the programmatic approach since format lists may change.
| 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 generic 'When to Use' and 'Limitations' boilerplate adds no value, and some print statements are verbose. The 'Best Practices' section is somewhat generic. | 2 / 3 |
Actionability | The skill provides fully executable, copy-paste ready Python code for every operation: authentication, batch translation, single document translation, glossary usage, async client, status checking, and cancellation. All examples use real SDK classes with proper imports. | 3 / 3 |
Workflow Clarity | The basic translation workflow shows starting a job and checking results, but there's no explicit validation/error-handling feedback loop for batch operations. The 'Best Practices' mentions monitoring and handling errors but doesn't integrate these into a clear step-by-step workflow with checkpoints. For batch/destructive operations, missing feedback loops cap this at 2. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear section headers, but it's a long monolithic file (~200 lines) that could benefit from splitting advanced topics (glossaries, async, format queries) into separate reference files. No external file references are provided for deeper content. | 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
76cbde3
- Reviewed
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