CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

azure-search-documents-ts

Build search applications with vector, hybrid, and semantic search capabilities.

Quality

66%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/azure-search-documents-ts/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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 lean, code-first reference with strong actionability — nearly every section is copy-paste TypeScript. The main weaknesses are the complete absence of validation/verification steps for batch and destructive operations (which caps workflow clarity) and a fully inline structure with no progressive disclosure for the long tail of content.

Suggestions

Add validation for batch operations: show checking per-document status in `result.results` (succeeded vs failed) and handling partial failures before proceeding, especially around merge/delete actions.

Make examples fully executable by replacing `embedding: [...]` and `fields: [...]` placeholders with concrete values, and provide a minimal stub for getEmbedding.

Trim the duplicated intro line, the "Key Types" import list, and the filler "When to Use" sentence — replace the last with real trigger conditions.

DimensionReasoningScore

Conciseness

The body is almost entirely executable code with section headers and no padding or explanation of concepts Claude already knows (no "what is Azure Search" prose). Minor trims exist: the opening line duplicates the frontmatter description, the "Key Types" section is a bare import list, and the closing "When to Use" sentence ("This skill is applicable to execute the workflow or actions described in the overview.") is pure filler. This is anchor 4 ("Efficient; minor instances... that could be trimmed"), not 5 where every token earns its place.

4 / 5

Actionability

Most examples are concrete, executable TypeScript (auth setup, index creation, search calls with real option shapes). Gaps keep it from anchor 5: `embedding: [...]` and `fields: [...]` are non-executable placeholders, and `getEmbedding(...)` relies on an unspecified external function. This fits anchor 4 ("Mostly executable guidance; concrete code or commands with minor gaps").

4 / 5

Workflow Clarity

The "Core Workflow" sections imply a sensible sequence (create index → index documents → search variants → batch ops), but there are no validation or verification checkpoints anywhere, and the skill includes destructive and batch operations (`{ delete: ... }`, `indexDocuments` with mixed merge/upload/delete actions). Per the rubric's cap, batch/destructive operations without validation limit workflow_clarity to 3 ("Steps listed but validation gaps; sequence present but checkpoints missing or implicit").

3 / 5

Progressive Disclosure

No bundle files exist, and the single SKILL.md is well organized into clearly navigable sections (Installation, Environment, Authentication, Core Workflow, Filtering, Autocomplete, Batch, Best Practices) — no monolithic wall of text. It is not anchor 5 because nothing is split out: ~260 lines covering every modality inline, with sections like "Key Types" and the full API surface that could live in a one-level-deep reference file. Anchor 4 ("Good structure; most content is appropriately placed; minor organization gaps") is the best fit.

4 / 5

Total

15

/

20

Passed

Description

50%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 states a clear 'what' with relevant search modality keywords, but provides zero trigger guidance ('when to use') and never mentions Azure, the SDK package, or TypeScript — the very things that would distinguish this skill from other search tooling. All dimensions land at the midpoint because the core content is present but the activation and disambiguation layer is absent.

Suggestions

Add an explicit trigger clause, e.g. "Use when working with Azure AI Search, @azure/search-documents, search indexes, or adding vector/hybrid/semantic search to a TypeScript app."

Name the platform and SDK ("Azure AI Search", "@azure/search-documents") so the skill is distinguishable from other vector-search tooling skills.

List one or two more concrete actions (e.g. "create and manage search indexes, index documents, run vector, hybrid, and semantic queries") to move specificity beyond a single generic verb.

DimensionReasoningScore

Specificity

"Build search applications with vector, hybrid, and semantic search capabilities." names the domain (search applications) and the three capability modalities, but the only concrete verb is "Build" — it does not list actions like creating indexes, indexing documents, or running queries. This matches anchor 3 ("Names domain and 1-2 concrete actions, but not comprehensive") better than anchor 4, which requires several specific listed actions.

3 / 5

Completeness

The 'what' is clear (build search applications with vector/hybrid/semantic capabilities) but there is no 'Use when...' clause or equivalent trigger guidance at all. Per the judging guidelines, a missing 'Use when' clause caps completeness at 3, which is exactly anchor 3 ("Has a clear 'what' but 'when' is missing or only weakly implied").

3 / 5

Trigger Term Quality

Terms like "search", "vector", "hybrid", and "semantic search" are natural phrases users would say, but common variations are missing — notably "Azure AI Search", "Azure", "Cognitive Search", "embeddings", and "@azure/search-documents". This fits anchor 3 ("Some relevant keywords but missing common variations or synonyms") rather than 4, whose keyword coverage is broader.

3 / 5

Distinctiveness Conflict Risk

The vector/hybrid/semantic combination narrows the space, but without naming Azure AI Search the description could plausibly trigger for Elasticsearch, Pinecone, pgvector, or other search-SDK skills. Anchor 3 ("Somewhat specific but could still overlap with similar skills") is the best fit; it is not the clear niche of anchor 5 nor the broad overlap of anchor 2.

3 / 5

Total

12

/

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

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

skills/azure-search-documents-ts/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.