Azure.AI.DocumentIntelligence (.NET)

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/azure-ai-document-intelligence-dotnet from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Azure.AI.DocumentIntelligence (.NET) Extract text, tables, and structured data from documents using prebuilt and custom models.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Environment Variables, Authentication, Client Types, Prebuilt Models, Build Modes, Error Handling.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

Situation	Start here	Why it matters
First-time use	metadata.json	Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review	ORIGIN.md	Gives reviewers a plain-language audit trail for the imported source
Workflow execution	SKILL.md	Starts with the smallest copied file that materially changes execution
Supporting context	SKILL.md	Adds the next most relevant copied source file without loading the entire package
Handoff decision	## Related Skills	Helps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. `bash dotnet add package Azure.AI.DocumentIntelligence dotnet add package Azure.Identity Current Version: v1.0.0 (GA) ### 1.
2. Analyze Invoice csharp using Azure.AI.DocumentIntelligence; Uri invoiceUri = new Uri("https://example.com/invoice.pdf"); Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync( WaitUntil.Completed, "prebuilt-invoice", invoiceUri); AnalyzeResult result = operation.Value; foreach (AnalyzedDocument document in result.Documents) { if (document.Fields.TryGetValue("VendorName", out DocumentField vendorNameField) && vendorNameField.FieldType == DocumentFieldType.String) { string vendorName = vendorNameField.ValueString; Console.WriteLine($"Vendor Name: '{vendorName}', confidence: {vendorNameField.Confidence}"); } if (document.Fields.TryGetValue("InvoiceTotal", out DocumentField invoiceTotalField) && invoiceTotalField.FieldType == DocumentFieldType.Currency) { CurrencyValue invoiceTotal = invoiceTotalField.ValueCurrency; Console.WriteLine($"Invoice Total: '{invoiceTotal.CurrencySymbol}{invoiceTotal.Amount}'"); } // Extract line items if (document.Fields.TryGetValue("Items", out DocumentField itemsField) && itemsField.FieldType == DocumentFieldType.List) { foreach (DocumentField item in itemsField.ValueList) { var itemFields = item.ValueDictionary; if (itemFields.TryGetValue("Description", out DocumentField descField)) Console.WriteLine($" Item: {descField.ValueString}"); } } } ### 2.
3. Extract Layout (Text, Tables, Structure) csharp Uri fileUri = new Uri("https://example.com/document.pdf"); Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync( WaitUntil.Completed, "prebuilt-layout", fileUri); AnalyzeResult result = operation.Value; // Extract text by page foreach (DocumentPage page in result.Pages) { Console.WriteLine($"Page {page.PageNumber}: {page.Lines.Count} lines, {page.Words.Count} words"); foreach (DocumentLine line in page.Lines) { Console.WriteLine($" Line: '{line.Content}'"); } } // Extract tables foreach (DocumentTable table in result.Tables) { Console.WriteLine($"Table: {table.RowCount} rows x {table.ColumnCount} columns"); foreach (DocumentTableCell cell in table.Cells) { Console.WriteLine($" Cell ({cell.RowIndex}, {cell.ColumnIndex}): {cell.Content}"); } } ### 3.
4. Analyze Receipt csharp Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync( WaitUntil.Completed, "prebuilt-receipt", receiptUri); AnalyzeResult result = operation.Value; foreach (AnalyzedDocument document in result.Documents) { if (document.Fields.TryGetValue("MerchantName", out DocumentField merchantField)) Console.WriteLine($"Merchant: {merchantField.ValueString}"); if (document.Fields.TryGetValue("Total", out DocumentField totalField)) Console.WriteLine($"Total: {totalField.ValueCurrency.Amount}"); if (document.Fields.TryGetValue("TransactionDate", out DocumentField dateField)) Console.WriteLine($"Date: {dateField.ValueDate}"); } ### 4.
5. Build Custom Model csharp var adminClient = new DocumentIntelligenceAdministrationClient( new Uri(endpoint), new AzureKeyCredential(apiKey)); string modelId = "my-custom-model"; Uri blobContainerUri = new Uri("<blob-container-sas-url>"); var blobSource = new BlobContentSource(blobContainerUri); var options = new BuildDocumentModelOptions(modelId, DocumentBuildMode.Template, blobSource); Operation<DocumentModelDetails> operation = await adminClient.BuildDocumentModelAsync( WaitUntil.Completed, options); DocumentModelDetails model = operation.Value; Console.WriteLine($"Model ID: {model.ModelId}"); Console.WriteLine($"Created: {model.CreatedOn}"); foreach (var docType in model.DocumentTypes) { Console.WriteLine($"Document type: {docType.Key}"); foreach (var field in docType.Value.FieldSchema) { Console.WriteLine($" Field: {field.Key}, Confidence: {docType.Value.FieldConfidence[field.Key]}"); } } ### 5.
6. Build Document Classifier csharp string classifierId = "my-classifier"; Uri blobContainerUri = new Uri("<blob-container-sas-url>"); var sourceA = new BlobContentSource(blobContainerUri) { Prefix = "TypeA/train" }; var sourceB = new BlobContentSource(blobContainerUri) { Prefix = "TypeB/train" }; var docTypes = new Dictionary<string, ClassifierDocumentTypeDetails>() { { "TypeA", new ClassifierDocumentTypeDetails(sourceA) }, { "TypeB", new ClassifierDocumentTypeDetails(sourceB) } }; var options = new BuildClassifierOptions(classifierId, docTypes); Operation<DocumentClassifierDetails> operation = await adminClient.BuildClassifierAsync( WaitUntil.Completed, options); DocumentClassifierDetails classifier = operation.Value; Console.WriteLine($"Classifier ID: {classifier.ClassifierId}"); ### 6.
7. Classify Document csharp string classifierId = "my-classifier"; Uri documentUri = new Uri("https://example.com/document.pdf"); var options = new ClassifyDocumentOptions(classifierId, documentUri); Operation<AnalyzeResult> operation = await client.ClassifyDocumentAsync( WaitUntil.Completed, options); AnalyzeResult result = operation.Value; foreach (AnalyzedDocument document in result.Documents) { Console.WriteLine($"Document type: {document.DocumentType}, confidence: {document.Confidence}"); } ### 7.

Imported Workflow Notes

Imported: Installation

dotnet add package Azure.AI.DocumentIntelligence
dotnet add package Azure.Identity

Current Version: v1.0.0 (GA)

Imported: Core Workflows

1. Analyze Invoice

using Azure.AI.DocumentIntelligence;

Uri invoiceUri = new Uri("https://example.com/invoice.pdf");

Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(
    WaitUntil.Completed,
    "prebuilt-invoice",
    invoiceUri);

AnalyzeResult result = operation.Value;

foreach (AnalyzedDocument document in result.Documents)
{
    if (document.Fields.TryGetValue("VendorName", out DocumentField vendorNameField)
        && vendorNameField.FieldType == DocumentFieldType.String)
    {
        string vendorName = vendorNameField.ValueString;
        Console.WriteLine($"Vendor Name: '{vendorName}', confidence: {vendorNameField.Confidence}");
    }

    if (document.Fields.TryGetValue("InvoiceTotal", out DocumentField invoiceTotalField)
        && invoiceTotalField.FieldType == DocumentFieldType.Currency)
    {
        CurrencyValue invoiceTotal = invoiceTotalField.ValueCurrency;
        Console.WriteLine($"Invoice Total: '{invoiceTotal.CurrencySymbol}{invoiceTotal.Amount}'");
    }

    // Extract line items
    if (document.Fields.TryGetValue("Items", out DocumentField itemsField)
        && itemsField.FieldType == DocumentFieldType.List)
    {
        foreach (DocumentField item in itemsField.ValueList)
        {
            var itemFields = item.ValueDictionary;
            if (itemFields.TryGetValue("Description", out DocumentField descField))
                Console.WriteLine($"  Item: {descField.ValueString}");
        }
    }
}

2. Extract Layout (Text, Tables, Structure)

Uri fileUri = new Uri("https://example.com/document.pdf");

Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(
    WaitUntil.Completed,
    "prebuilt-layout",
    fileUri);

AnalyzeResult result = operation.Value;

// Extract text by page
foreach (DocumentPage page in result.Pages)
{
    Console.WriteLine($"Page {page.PageNumber}: {page.Lines.Count} lines, {page.Words.Count} words");

    foreach (DocumentLine line in page.Lines)
    {
        Console.WriteLine($"  Line: '{line.Content}'");
    }
}

// Extract tables
foreach (DocumentTable table in result.Tables)
{
    Console.WriteLine($"Table: {table.RowCount} rows x {table.ColumnCount} columns");
    foreach (DocumentTableCell cell in table.Cells)
    {
        Console.WriteLine($"  Cell ({cell.RowIndex}, {cell.ColumnIndex}): {cell.Content}");
    }
}

3. Analyze Receipt

Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(
    WaitUntil.Completed,
    "prebuilt-receipt",
    receiptUri);

AnalyzeResult result = operation.Value;

foreach (AnalyzedDocument document in result.Documents)
{
    if (document.Fields.TryGetValue("MerchantName", out DocumentField merchantField))
        Console.WriteLine($"Merchant: {merchantField.ValueString}");

    if (document.Fields.TryGetValue("Total", out DocumentField totalField))
        Console.WriteLine($"Total: {totalField.ValueCurrency.Amount}");

    if (document.Fields.TryGetValue("TransactionDate", out DocumentField dateField))
        Console.WriteLine($"Date: {dateField.ValueDate}");
}

4. Build Custom Model

var adminClient = new DocumentIntelligenceAdministrationClient(
    new Uri(endpoint),
    new AzureKeyCredential(apiKey));

string modelId = "my-custom-model";
Uri blobContainerUri = new Uri("<blob-container-sas-url>");

var blobSource = new BlobContentSource(blobContainerUri);
var options = new BuildDocumentModelOptions(modelId, DocumentBuildMode.Template, blobSource);

Operation<DocumentModelDetails> operation = await adminClient.BuildDocumentModelAsync(
    WaitUntil.Completed,
    options);

DocumentModelDetails model = operation.Value;

Console.WriteLine($"Model ID: {model.ModelId}");
Console.WriteLine($"Created: {model.CreatedOn}");

foreach (var docType in model.DocumentTypes)
{
    Console.WriteLine($"Document type: {docType.Key}");
    foreach (var field in docType.Value.FieldSchema)
    {
        Console.WriteLine($"  Field: {field.Key}, Confidence: {docType.Value.FieldConfidence[field.Key]}");
    }
}

5. Build Document Classifier

string classifierId = "my-classifier";
Uri blobContainerUri = new Uri("<blob-container-sas-url>");

var sourceA = new BlobContentSource(blobContainerUri) { Prefix = "TypeA/train" };
var sourceB = new BlobContentSource(blobContainerUri) { Prefix = "TypeB/train" };

var docTypes = new Dictionary<string, ClassifierDocumentTypeDetails>()
{
    { "TypeA", new ClassifierDocumentTypeDetails(sourceA) },
    { "TypeB", new ClassifierDocumentTypeDetails(sourceB) }
};

var options = new BuildClassifierOptions(classifierId, docTypes);

Operation<DocumentClassifierDetails> operation = await adminClient.BuildClassifierAsync(
    WaitUntil.Completed,
    options);

DocumentClassifierDetails classifier = operation.Value;
Console.WriteLine($"Classifier ID: {classifier.ClassifierId}");

6. Classify Document

string classifierId = "my-classifier";
Uri documentUri = new Uri("https://example.com/document.pdf");

var options = new ClassifyDocumentOptions(classifierId, documentUri);

Operation<AnalyzeResult> operation = await client.ClassifyDocumentAsync(
    WaitUntil.Completed,
    options);

AnalyzeResult result = operation.Value;

foreach (AnalyzedDocument document in result.Documents)
{
    Console.WriteLine($"Document type: {document.DocumentType}, confidence: {document.Confidence}");
}

7. Manage Models

// Get resource details
DocumentIntelligenceResourceDetails resourceDetails = await adminClient.GetResourceDetailsAsync();
Console.WriteLine($"Custom models: {resourceDetails.CustomDocumentModels.Count}/{resourceDetails.CustomDocumentModels.Limit}");

// Get specific model
DocumentModelDetails model = await adminClient.GetModelAsync("my-model-id");
Console.WriteLine($"Model: {model.ModelId}, Created: {model.CreatedOn}");

// List models
await foreach (DocumentModelDetails modelItem in adminClient.GetModelsAsync())
{
    Console.WriteLine($"Model: {modelItem.ModelId}");
}

// Delete model
await adminClient.DeleteModelAsync("my-model-id");

Imported: Environment Variables

DOCUMENT_INTELLIGENCE_ENDPOINT=https://<resource-name>.cognitiveservices.azure.com/
DOCUMENT_INTELLIGENCE_API_KEY=<your-api-key>
BLOB_CONTAINER_SAS_URL=https://<storage>.blob.core.windows.net/<container>?<sas-token>

Examples

Example 1: Ask for the upstream workflow directly

Use @azure-ai-document-intelligence-dotnet to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @azure-ai-document-intelligence-dotnet against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @azure-ai-document-intelligence-dotnet for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @azure-ai-document-intelligence-dotnet using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Use DefaultAzureCredential for production
• Reuse client instances — clients are thread-safe
• Handle long-running operations — Use WaitUntil.Completed for simplicity
• Check field confidence — Always verify Confidence property
• Use appropriate model — Prebuilt for common docs, custom for specialized
• Use custom subdomain — Required for Entra ID authentication
• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.

Imported Operating Notes

Imported: Best Practices

1. Use DefaultAzureCredential for production
2. Reuse client instances — clients are thread-safe
3. Handle long-running operations — Use WaitUntil.Completed for simplicity
4. Check field confidence — Always verify Confidence property
5. Use appropriate model — Prebuilt for common docs, custom for specialized
6. Use custom subdomain — Required for Entra ID authentication

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/azure-ai-document-intelligence-dotnet, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource family	What it gives the reviewer	Example path
references	copied reference notes, guides, or background material from upstream	references/n/a
examples	worked examples or reusable prompts copied from upstream	examples/n/a
scripts	upstream helper scripts that change execution or validation	scripts/n/a
agents	routing or delegation notes that are genuinely part of the imported package	agents/n/a
assets	supporting assets or schemas copied from the source package	assets/n/a

Imported Reference Notes

Imported: Key Types Reference

Type	Description
DocumentIntelligenceClient	Main client for analysis
DocumentIntelligenceAdministrationClient	Model management
AnalyzeResult	Result of document analysis
AnalyzedDocument	Single document within result
DocumentField	Extracted field with value and confidence
DocumentFieldType	String, Date, Number, Currency, etc.
DocumentPage	Page info (lines, words, selection marks)
DocumentTable	Extracted table with cells
DocumentModelDetails	Custom model metadata
BlobContentSource	Training data source

Imported: Reference Links

Resource	URL
NuGet Package	https://www.nuget.org/packages/Azure.AI.DocumentIntelligence
API Reference	https://learn.microsoft.com/dotnet/api/azure.ai.documentintelligence
GitHub Samples	https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/documentintelligence/Azure.AI.DocumentIntelligence/samples
Document Intelligence Studio	https://documentintelligence.ai.azure.com/
Prebuilt Models	https://aka.ms/azsdk/formrecognizer/models

Imported: Authentication

Microsoft Entra ID (Recommended)

using Azure.Identity;
using Azure.AI.DocumentIntelligence;

string endpoint = Environment.GetEnvironmentVariable("DOCUMENT_INTELLIGENCE_ENDPOINT");
var credential = new DefaultAzureCredential();
var client = new DocumentIntelligenceClient(new Uri(endpoint), credential);

Note: Entra ID requires a custom subdomain (e.g., https://<resource-name>.cognitiveservices.azure.com/), not a regional endpoint.

API Key

string endpoint = Environment.GetEnvironmentVariable("DOCUMENT_INTELLIGENCE_ENDPOINT");
string apiKey = Environment.GetEnvironmentVariable("DOCUMENT_INTELLIGENCE_API_KEY");
var client = new DocumentIntelligenceClient(new Uri(endpoint), new AzureKeyCredential(apiKey));

Imported: Client Types

Client	Purpose
DocumentIntelligenceClient	Analyze documents, classify documents
DocumentIntelligenceAdministrationClient	Build/manage custom models and classifiers

Imported: Prebuilt Models

Model ID	Description
prebuilt-read	Extract text, languages, handwriting
prebuilt-layout	Extract text, tables, selection marks, structure
prebuilt-invoice	Extract invoice fields (vendor, items, totals)
prebuilt-receipt	Extract receipt fields (merchant, items, total)
prebuilt-idDocument	Extract ID document fields (name, DOB, address)
prebuilt-businessCard	Extract business card fields
prebuilt-tax.us.w2	Extract W-2 tax form fields
prebuilt-healthInsuranceCard.us	Extract health insurance card fields

Imported: Build Modes

Mode	Use Case
DocumentBuildMode.Template	Fixed layout documents (forms)
DocumentBuildMode.Neural	Variable layout documents

Imported: Error Handling

using Azure;

try
{
    var operation = await client.AnalyzeDocumentAsync(
        WaitUntil.Completed,
        "prebuilt-invoice",
        documentUri);
}
catch (RequestFailedException ex)
{
    Console.WriteLine($"Error: {ex.Status} - {ex.Message}");
}

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.