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azure-search-documents-dotnet

Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search.

Quality

76%

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/azure-search-documents-dotnet/SKILL.md

The canonical home for this skill is azure-search-documents-dotnet in administrakt0r/AI-Agents-Safe-Coding-Skills

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 code-dense, largely copy-paste-ready reference for the Azure.Search.Documents SDK with good in-file organization. Its weaknesses are missing validation for batch/destructive document operations, references pointing to nonexistent files while the same content sits inline, and small amounts of filler and duplication.

Suggestions

Create references/vector-search.md and references/semantic-search.md (or remove the pointers and the Reference Files table) so navigation doesn't dead-end.

Add validation for batch document operations: check IndexingResults for per-document status/Key errors and retry failed items, which would also lift workflow_clarity above its cap.

Trim the generic "When to Use" section, the version pin (or move it to a changelog/deprecated section), and one of the two index-creation examples; move the full semantic example into the referenced file.

DimensionReasoningScore

Conciseness

The body is efficiently organized: nearly every section is executable code or a compact table with minimal prose, and it explains nothing Claude already knows. Minor trimmable items remain — the filler "When to Use" line ("This skill is applicable to execute the workflow or actions described in the overview."), the time-sensitive "Current Versions" line, the manual field-definition example largely duplicating the FieldBuilder example, and the hybrid-search section repeating the vector-query snippet — which keep it below the lean 5-anchor.

4 / 5

Actionability

Guidance is overwhelmingly concrete: exact dotnet install commands, both auth patterns, FieldBuilder and manual index definitions, all four document operations, and runnable search snippets. Minor gaps remain — several snippets use undefined variables (`embedding`, `hotel1`/`hotel2`/`hotel3`, `endpoint`, `credential` in later sections), and the semantic/vector examples assume a pre-existing semantic configuration and suggester that the skill never shows creating.

4 / 5

Workflow Clarity

Sections follow a sensible order (install → env → auth → index → documents → search), but the batch/destructive document operations (Upload/Merge/Delete, IndexDocumentsBatch) have no validation or verification steps — no checking of per-document results or IndexingResults, and the error-handling section covers only SearchAsync. Per the rubric's cap, batch operations without validation cannot score above 3.

3 / 5

Progressive Disclosure

Internal structure is good (clear sections, a Reference Files table, explicit "See references/vector-search.md" pointers), but scoring against the actual bundle: no references/ directory exists, so both referenced files are dangling and navigation fails for those paths. Meanwhile the semantic-search section inlines a full detailed example right next to its "see the reference file" pointer — content that should be separate is inline — which fits the 3-anchor rather than the well-split 4/5 anchors.

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 solid description: specific product naming, an explicit "Use for..." trigger clause, and good natural keyword coverage. Its main weaknesses are a generic action verb ("building"), a trigger clause that echoes the capability list rather than naming user scenarios, and missing common synonyms like "Azure Cognitive Search" and "C#".

Suggestions

Replace the generic "building search applications" with more concrete actions, e.g. "Create and manage search indexes, upload documents, and run full-text, vector, semantic, and hybrid queries".

Add trigger synonyms users actually say: "Use when the user mentions Azure AI Search, Azure Cognitive Search, Azure.Search.Documents, or C#/.NET search development".

Separate the 'what' from the 'when' so the trigger clause names user scenarios instead of restating the capability list.

DimensionReasoningScore

Specificity

Names the concrete SDK ("Azure AI Search SDK for .NET (Azure.Search.Documents)") and enumerates four specific capability areas ("full-text, vector, semantic, and hybrid search"). It falls short of a 5 because the only real action stated is the generic "building search applications" — index creation, document indexing, and other core SDK tasks are not mentioned.

4 / 5

Completeness

Both parts are present: the "what" is stated (SDK for .NET with the four search modes) and an explicit trigger clause exists ("Use for building search applications with..."). The "when" is present but somewhat generic — it restates the what rather than naming concrete user scenarios — matching the anchor where 'when' could be more explicit or specific rather than the fully concrete 5-anchor.

4 / 5

Trigger Term Quality

Good natural-keyword coverage: "Azure AI Search", "Azure.Search.Documents", ".NET", "vector search", "semantic search", "hybrid search" are all phrases users would say. A few natural terms are missing — notably the legacy name "Azure Cognitive Search", "C#", and "AI search" — so it does not reach comprehensive synonym/variation coverage.

4 / 5

Distinctiveness Conflict Risk

The opening pins an exact product and package name ("Azure AI Search SDK for .NET (Azure.Search.Documents)"), giving it a clear niche with distinct triggers; it is unlikely to fire for unrelated skills. The only theoretical overlap is with an Azure SDK skill for another language, which the explicit ".NET" qualifier already disambiguates.

5 / 5

Total

17

/

20

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

referenced_paths_exist

Referenced path issues: 4 missing

Warning

Total

14

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/AI-Agents-Safe-Coding-Skills-claude/skills/azure-search-documents-dotnet/SKILL.md

Reviewed

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