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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.

Quality

76%

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tessl review fix ./skills/azure-ai-translation-document-py/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%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.

A well-organized, code-first reference that is largely executable and efficient, with good disclosure and cost-boundary guidance. Its main gaps are the missing fix-and-retry validation loop for a batch operation (capping workflow clarity), undefined variables in two examples, and an all-inline structure with some duplicated sections.

Suggestions

Add an explicit end-to-end workflow section with a feedback loop: submit, poll, check documents_failed_count, inspect per-document errors via list_document_statuses, and retry failed documents after correcting the cause.

Consolidate the duplicate 'Supported Document Formats' and 'Supported Formats' sections into one, and replace the vague 'When to Use' boilerplate with concrete applicability criteria.

Define target_url_es, target_url_fr, and target_url_de (e.g., via environment variables) and replace inputs=[...] in the async example with a complete DocumentTranslationInput so every snippet is copy-paste ready.

DimensionReasoningScore

Conciseness

The body is code-heavy and assumes competence with almost no concept explanations, but it has trimmable redundancy: two overlapping formats sections ('Supported Document Formats' code and a 'Supported Formats' table) and filler 'When to Use' boilerplate ('This skill is applicable to execute the workflow or actions described in the overview').

4 / 5

Actionability

Nearly every section provides complete executable code with env-var-based configuration, but minor gaps remain: target_url_es/target_url_fr/target_url_de are never defined, and the async example uses the placeholder inputs=[...] rather than a concrete DocumentTranslationInput.

4 / 5

Workflow Clarity

Status checking is covered across sections (poller.result(), documents_failed_count, list_document_statuses, doc.error), but the submit-to-verify sequence is implicit rather than laid out, and no fix-and-retry feedback loop exists; per the rubric's cap, a batch operation without such validation cannot score above 3.

3 / 5

Progressive Disclosure

Sections are clearly headed, but the ~250-line body inlines the entire API surface (glossary, async, format/language listings) with no one-level-deep reference files or navigation to deeper material, and no bundle files exist to offload it.

3 / 5

Total

14

/

20

Passed

Description

78%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.

A strong description: third-person, concise, with a clear 'what' and an explicit 'Use for...' trigger clause naming concrete document formats. Its weaknesses are limited enumeration of specific capabilities and trigger terms that overlap slightly with other document-format skills.

DimensionReasoningScore

Specificity

The description names the domain and one concrete capability ('batch translation of documents with format preservation') but omits other actions the SDK performs (glossaries, status tracking, single-document translation), matching the anchor for 1-2 concrete actions without comprehensive coverage.

3 / 5

Completeness

It clearly answers 'what' ('batch translation of documents with format preservation') and explicitly answers 'when' with concrete trigger phrases ('Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale'), matching the top anchor rather than the merely-adequate 'when' of score 4.

5 / 5

Trigger Term Quality

'Word, PDF, Excel, PowerPoint' and 'translating ... document formats at scale' are natural phrases users would say, giving good keyword coverage, but common synonyms like 'translate documents', 'localization', or file extensions (.docx, .pdf) are missing, so it falls just short of comprehensive.

4 / 5

Distinctiveness Conflict Risk

The named Azure SDK niche is mostly distinct, but the bare format terms ('Word, PDF, Excel, PowerPoint') create minor overlap risk with closely related document-editing, extraction, or text-translation skills, fitting 'mostly distinct; minor overlap risk' better than the minimal-conflict anchor.

4 / 5

Total

16

/

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.

Validation — 15 / 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/agentic-awesome-skills

Path

skills/azure-ai-translation-document-py/SKILL.md

Reviewed

Table of Contents

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