Agent skill · DevOps & Cloud

azure-search-documents-ts

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

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill azure-search-documents-ts-sickn33-antigravity-awesome --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/ai-ml/azure-search-documents-ts-sickn33-antigravity-awesome/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Azure AI Search SDK for TypeScript Build search applications with vector, hybrid, and semantic search capabilities. ## Installation ```bash npm install @azure/search-documents @azure/identity ``` ## Environment Variables ```bash AZURE_SEARCH_ENDPOINT=https://<service-name>.search.windows.net AZURE_SEARCH_INDEX_NAME=my-index AZURE_SEARCH_ADMIN_KEY=<admin-key> # Optional if using Entra ID ``` ## Authentication ```typescript import { SearchClient, SearchIndexClient } from "@azure/search-documents"; import { DefaultAzureCredential } from "@azure/identity"; const endpoint = process.env.AZURE_SEARCH_ENDPOINT!; const indexName = process.env.AZURE_SEARCH_INDEX_NAME!; const credential = new DefaultAzureCredential(); // For searching const searchClient = new SearchClient(endpoint, indexName, credential); // For index management const indexClient = new SearchIndexClient(endpoint, credential); ``` ## Core Workflow ### Create Index with Vector Field ```typescript import { SearchIndex, SearchField, VectorSearch } from "@azure/search-documents"; const index: SearchIndex = { name: "products", fields: [ { name: "id", type: "Edm.String", key: true }, { name: "title", type: "Edm.String", searchable

What's inside
Steps it walks through
  1. Installation
  2. Environment Variables
  3. Authentication
  4. Core Workflow
  5. Create Index with Vector Field
  6. Index Documents
  7. Full-Text Search
  8. Vector Search
  9. Hybrid Search (Text + Vector)
  10. Semantic Search
  11. Filtering and Facets
  12. Autocomplete and Suggestions
  13. Batch Operations
  14. Key Types
Ships with 1 file
  • metadata.json
Commands it runs
npm install @azure/search-documents @azure/identity
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About this skill
What does the azure-search-documents-ts skill do?

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

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill azure-search-documents-ts-sickn33-antigravity-awesome --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going