skills/azure-search-documents-dotnet/SKILL.md
Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search.
npx skillsauth add ranbot-ai/awesome-skills azure-search-documents-dotnetInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Build search applications with full-text, vector, semantic, and hybrid search capabilities.
dotnet add package Azure.Search.Documents
dotnet add package Azure.Identity
Current Versions: Stable v11.7.0, Preview v11.8.0-beta.1
SEARCH_ENDPOINT=https://<search-service>.search.windows.net
SEARCH_INDEX_NAME=<index-name>
# For API key auth (not recommended for production)
SEARCH_API_KEY=<api-key>
DefaultAzureCredential (preferred):
using Azure.Identity;
using Azure.Search.Documents;
var credential = new DefaultAzureCredential();
var client = new SearchClient(
new Uri(Environment.GetEnvironmentVariable("SEARCH_ENDPOINT")),
Environment.GetEnvironmentVariable("SEARCH_INDEX_NAME"),
credential);
API Key:
using Azure;
using Azure.Search.Documents;
var credential = new AzureKeyCredential(
Environment.GetEnvironmentVariable("SEARCH_API_KEY"));
var client = new SearchClient(
new Uri(Environment.GetEnvironmentVariable("SEARCH_ENDPOINT")),
Environment.GetEnvironmentVariable("SEARCH_INDEX_NAME"),
credential);
| Client | Purpose |
|--------|---------|
| SearchClient | Query indexes, upload/update/delete documents |
| SearchIndexClient | Create/manage indexes, synonym maps |
| SearchIndexerClient | Manage indexers, skillsets, data sources |
using Azure.Search.Documents.Indexes;
using Azure.Search.Documents.Indexes.Models;
// Define model with attributes
public class Hotel
{
[SimpleField(IsKey = true, IsFilterable = true)]
public string HotelId { get; set; }
[SearchableField(IsSortable = true)]
public string HotelName { get; set; }
[SearchableField(AnalyzerName = LexicalAnalyzerName.EnLucene)]
public string Description { get; set; }
[SimpleField(IsFilterable = true, IsSortable = true, IsFacetable = true)]
public double? Rating { get; set; }
[VectorSearchField(VectorSearchDimensions = 1536, VectorSearchProfileName = "vector-profile")]
public ReadOnlyMemory<float>? DescriptionVector { get; set; }
}
// Create index
var indexClient = new SearchIndexClient(endpoint, credential);
var fieldBuilder = new FieldBuilder();
var fields = fieldBuilder.Build(typeof(Hotel));
var index = new SearchIndex("hotels")
{
Fields = fields,
VectorSearch = new VectorSearch
{
Profiles = { new VectorSearchProfile("vector-profile", "hnsw-algo") },
Algorithms = { new HnswAlgorithmConfiguration("hnsw-algo") }
}
};
await indexClient.CreateOrUpdateIndexAsync(index);
var index = new SearchIndex("hotels")
{
Fields =
{
new SimpleField("hotelId", SearchFieldDataType.String) { IsKey = true, IsFilterable = true },
new SearchableField("hotelName") { IsSortable = true },
new SearchableField("description") { AnalyzerName = LexicalAnalyzerName.EnLucene },
new SimpleField("rating", SearchFieldDataType.Double) { IsFilterable = true, IsSortable = true },
new SearchField("descriptionVector", SearchFieldDataType.Collection(SearchFieldDataType.Single))
{
VectorSearchDimensions = 1536,
VectorSearchProfileName = "vector-profile"
}
}
};
var searchClient = new SearchClient(endpoint, indexName, credential);
// Upload (add new)
var hotels = new[] { new Hotel { HotelId = "1", HotelName = "Hotel A" } };
await searchClient.UploadDocumentsAsync(hotels);
// Merge (update existing)
await searchClient.MergeDocumentsAsync(hotels);
// Merge or Upload (upsert)
await searchClient.MergeOrUploadDocumentsAsync(hotels);
// Delete
await searchClient.DeleteDocumentsAsync("hotelId", new[] { "1", "2" });
// Batch operations
var batch = IndexDocumentsBatch.Create(
IndexDocumentsAction.Upload(hotel1),
IndexDocumentsAction.Merge(hotel2),
IndexDocumentsAction.Delete(hotel3));
await searchClient.IndexDocumentsAsync(batch);
var options = new SearchOptions
{
Filter = "rating ge 4",
OrderBy = { "rating desc" },
Select = { "hotelId", "hotelName", "rating" },
Size = 10,
Skip = 0,
IncludeTotalCount = true
};
SearchResults<Hotel> results = await searchClient.SearchAsync<Hotel>("luxury", options);
Console.WriteLine($"Total: {results.TotalCount}");
await foreach (SearchResult<Hotel> result in results.GetResultsAsync())
{
Console.WriteLine($"{result.Document.HotelName} (Score: {result.Score})");
}
var options = new SearchOptions
{
Facets = { "rating,count:5", "category" }
};
var results = await searchClient.SearchAsync<Hotel>("*", options);
foreach (var facet in results.Value.Facets["rating"])
{
Console.WriteLine($"Rating {facet.Value}: {f
testing
Fix SEO indexing issues, crawl budget problems, and Search Console coverage errors for Next.js apps. Covers canonical tags, noindex audits, sitemap health, static rendering, and internal linking.
data-ai
Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.
tools
--- name: longbridge description: 125+ agent skills for Longbridge Securities — real-time quotes, charts, fundamentals, portfolio analysis, options, and more for HK/US/A-share/SG markets. Trilingual: Simplified Chinese, Traditional category: AI & Agents source: antigravity tags: [api, mcp, claude, ai, agent, security, cro] url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/longbridge --- # Longbridge ## Overview Longbridge is the official skill collection for Longbr
tools
Design, debug, and harden GitHub Actions CI/CD workflows, including reusable workflows, matrix builds, self-hosted runners, OIDC authentication, caching, environments, secrets, and release automation.