Official agent skill

Azure AI Formrecognizer Java

by microsoft in microsoft/skills

Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence).

OfficialMITAuto-check passedDocuments & Office

Install Azure AI Formrecognizer Java

skills CLI
$ npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install microsoft/skills azure-ai-formrecognizer-java --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java .claude/skills/azure-ai-formrecognizer-java && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
azure-ai-formrecognizer-java
GitHub stars
3.1k
Token cost
~3.4k tokens
SKILL.md length
228 words
Files
2 (incl. references)
Skills in repo
150
Repo updated
First seen
Licence
MIT

At a glance

Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence).

  • Extracting text
  • SKILL.md covers Before Implementation, Installation, Environment Variables and Authentication, plus 7 more sections
  • Reaches learn.microsoft.com; needs AZURE_TOKEN_CREDENTIALS and DOCUMENT_INTELLIGENCE_KEY
  • Key-value pairs from documents

What it does

Azure AI Formrecognizer Java is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence). Use for extracting text, tables, key-value pairs from documents, receipts, invoices, IDs, or building custom document models. Triggers: "document intelligence java", "form recognizer java", "extract text from PDF java", "OCR document java", "analyze invoice receipt java", "custom document model java", "document classification java".

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/examples.md`).

It sits in Documents & Office, covering Forms and invoices. It works with Microsoft Azure, Java and Azure AI Document Intelligence. The repository describes itself as: Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents. The licence is MIT.

When your agent uses it

  • Extracting text
  • Key-value pairs from documents
  • Building custom document models

Example prompts

  • “document intelligence java”
  • “form recognizer java”
  • “extract text from PDF java”
  • “/azure-ai-formrecognizer-java”

Requirements

  • A credential in DOCUMENT_INTELLIGENCE_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 354361d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are java, xml and bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • learn.microsoft.com

    Also links to:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • AZURE_TOKEN_CREDENTIALS
    • DOCUMENT_INTELLIGENCE_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Azure AI Formrecognizer Java loads about 3.4k tokens when it runs, and up to ~8.6k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~113
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/skills at commit 354361d, republished under its MIT licence (© microsoft). 228 words, ~3,350 tokens.

Download SKILL.mdSave it as .claude/skills/azure-ai-formrecognizer-java/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
azure-ai-formrecognizer-java
description
Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence). Use for extracting text, tables, key-value pairs from documents, receipts, invoices, IDs, or building custom document models. Triggers: "document intelligence java", "form recognizer java", "extract text from PDF java", "OCR document java", "analyze invoice receipt java", "custom document model java", "document classification java".

Azure AI Document Intelligence SDK for Java

Rebranding: Azure AI Form Recognizer is now Azure AI Document Intelligence. New projects should use com.azure:azure-ai-documentintelligence. The legacy azure-ai-formrecognizer package targets API version 2023-07-31 only. See Migration Guide.

Before Implementation

Search microsoft-docs MCP for current API patterns:

  • Query: "azure-ai-documentintelligence Java SDK"
  • Verify: Parameters match installed SDK version (latest GA: 1.0.7)

Installation

xml
<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-ai-documentintelligence</artifactId>
    <version>1.0.0</version>
</dependency>

<!-- For DefaultAzureCredential -->
<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-identity</artifactId>
    <version>1.14.2</version>
</dependency>

Environment Variables

bash
DOCUMENT_INTELLIGENCE_ENDPOINT=https://<resource>.cognitiveservices.azure.com/ # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production

Authentication

java
import com.azure.ai.documentintelligence.DocumentIntelligenceClient;
import com.azure.ai.documentintelligence.DocumentIntelligenceClientBuilder;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

DocumentIntelligenceClient client = new DocumentIntelligenceClientBuilder()
    .endpoint(System.getenv("DOCUMENT_INTELLIGENCE_ENDPOINT"))
    .credential(credential)
    .buildClient();
API Key
java
import com.azure.core.credential.AzureKeyCredential;

DocumentIntelligenceClient client = new DocumentIntelligenceClientBuilder()
    .endpoint(System.getenv("DOCUMENT_INTELLIGENCE_ENDPOINT"))
    .credential(new AzureKeyCredential(System.getenv("DOCUMENT_INTELLIGENCE_KEY")))
    .buildClient();
Administration Client
java
import com.azure.ai.documentintelligence.DocumentIntelligenceAdministrationClient;
import com.azure.ai.documentintelligence.DocumentIntelligenceAdministrationClientBuilder;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

DocumentIntelligenceAdministrationClient adminClient = new DocumentIntelligenceAdministrationClientBuilder()
    .endpoint(System.getenv("DOCUMENT_INTELLIGENCE_ENDPOINT"))
    .credential(credential)
    .buildClient();
Async Client
java
import com.azure.ai.documentintelligence.DocumentIntelligenceAsyncClient;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

DocumentIntelligenceAsyncClient asyncClient = new DocumentIntelligenceClientBuilder()
    .endpoint(System.getenv("DOCUMENT_INTELLIGENCE_ENDPOINT"))
    .credential(credential)
    .buildAsyncClient();

Prebuilt Models

Model IDPurpose
prebuilt-readExtract text, lines, words, languages
prebuilt-layoutText, tables, selection marks, structure
prebuilt-receiptReceipt data extraction
prebuilt-invoiceInvoice field extraction
prebuilt-idDocumentID documents (passport, license)
prebuilt-tax.us.w2US W2 tax forms
prebuilt-healthInsuranceCard.usUS health insurance cards
prebuilt-contractContract field extraction

Retired models: prebuilt-businessCard and prebuilt-document are retired in API version 2024-11-30. Use the legacy azure-ai-formrecognizer package for these.

Core Patterns

Analyze from File
java
import com.azure.ai.documentintelligence.models.*;
import com.azure.core.util.BinaryData;
import com.azure.core.util.polling.SyncPoller;
import java.io.File;

File document = new File("document.pdf");
BinaryData documentData = BinaryData.fromFile(document.toPath(), (int) document.length());

SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginAnalyzeDocument("prebuilt-layout",
        new AnalyzeDocumentOptions(documentData));

AnalyzeResult result = poller.getFinalResult();
Analyze from URL
java
String documentUrl = "https://example.com/invoice.pdf";

SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginAnalyzeDocument("prebuilt-invoice",
        new AnalyzeDocumentOptions(documentUrl));

AnalyzeResult result = poller.getFinalResult();
Extract Layout
java
AnalyzeResult result = poller.getFinalResult();

for (DocumentPage page : result.getPages()) {
    System.out.printf("Page has width: %.2f and height: %.2f, measured with unit: %s%n",
        page.getWidth(), page.getHeight(), page.getUnit());

    // Lines
    for (DocumentLine line : page.getLines()) {
        System.out.printf("Line '%s' is within bounding box %s.%n",
            line.getContent(), line.getPolygon());
    }

    // Selection marks
    for (DocumentSelectionMark mark : page.getSelectionMarks()) {
        System.out.printf("Selection mark is '%s' with confidence %.2f.%n",
            mark.getState(), mark.getConfidence());
    }
}

// Tables
for (DocumentTable table : result.getTables()) {
    System.out.printf("Table: %d rows x %d columns%n",
        table.getRowCount(), table.getColumnCount());
    for (DocumentTableCell cell : table.getCells()) {
        System.out.printf("Cell[%d,%d]: %s%n",
            cell.getRowIndex(), cell.getColumnIndex(), cell.getContent());
    }
}
Extract Document Fields
java
SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginAnalyzeDocument("prebuilt-receipt",
        new AnalyzeDocumentOptions(receiptUrl));

AnalyzeResult result = poller.getFinalResult();

for (AnalyzedDocument doc : result.getDocuments()) {
    Map<String, DocumentField> fields = doc.getFields();

    DocumentField merchantName = fields.get("MerchantName");
    if (merchantName != null && merchantName.getType() == DocumentFieldType.STRING) {
        System.out.printf("Merchant: %s (confidence: %.2f)%n",
            merchantName.getValueString(), merchantName.getConfidence());
    }

    DocumentField transactionDate = fields.get("TransactionDate");
    if (transactionDate != null && transactionDate.getType() == DocumentFieldType.DATE) {
        System.out.printf("Date: %s%n", transactionDate.getValueDate());
    }
}
Analyze with Options
java
SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginAnalyzeDocument("my-custom-model",
        new AnalyzeDocumentOptions(documentUrl)
            .setPages(Collections.singletonList("1-3"))
            .setLocale("en-US")
            .setDocumentAnalysisFeatures(Arrays.asList(DocumentAnalysisFeature.LANGUAGES))
            .setOutputContentFormat(DocumentContentFormat.TEXT));

Custom Models

Build Custom Model
java
String blobContainerUrl = "{SAS_URL_of_training_data}";

SyncPoller<DocumentModelBuildOperationDetails, DocumentModelDetails> poller =
    adminClient.beginBuildDocumentModel(
        new BuildDocumentModelOptions("my-custom-model", DocumentBuildMode.TEMPLATE)
            .setAzureBlobSource(new AzureBlobContentSource(blobContainerUrl)));

DocumentModelDetails model = poller.getFinalResult();
System.out.printf("Model ID: %s%n", model.getModelId());
System.out.printf("Created: %s%n", model.getCreatedOn());

model.getDocumentTypes().forEach((docType, details) -> {
    details.getFieldSchema().forEach((field, schema) -> {
        System.out.printf("Field: %s (%s)%n", field, schema.getType());
    });
});
Manage Models
java
// Resource limits
DocumentIntelligenceResourceDetails resourceDetails = adminClient.getResourceDetails();
System.out.printf("Models: %d / %d%n",
    resourceDetails.getCustomDocumentModels().getCount(),
    resourceDetails.getCustomDocumentModels().getLimit());

// List models
PagedIterable<DocumentModelDetails> models = adminClient.listModels();
for (DocumentModelDetails model : models) {
    System.out.printf("Model: %s, Created: %s%n",
        model.getModelId(), model.getCreatedOn());
}

// Get model
DocumentModelDetails model = adminClient.getModel("model-id");

// Delete model
adminClient.deleteModel("model-id");

Document Classification

Build Classifier
java
Map<String, ClassifierDocumentTypeDetails> docTypes = new HashMap<>();
docTypes.put("invoice", new ClassifierDocumentTypeDetails()
    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix("invoices/")));
docTypes.put("receipt", new ClassifierDocumentTypeDetails()
    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix("receipts/")));

SyncPoller<DocumentClassifierBuildOperationDetails, DocumentClassifierDetails> poller =
    adminClient.beginBuildClassifier(
        new BuildDocumentClassifierOptions("my-classifier", docTypes));

DocumentClassifierDetails classifier = poller.getFinalResult();
Classify Document
java
SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginClassifyDocument("my-classifier",
        new ClassifyDocumentOptions(documentUrl));

AnalyzeResult result = poller.getFinalResult();
for (AnalyzedDocument doc : result.getDocuments()) {
    System.out.printf("Classified as: %s (confidence: %.2f)%n",
        doc.getDocumentType(), doc.getConfidence());
}

Error Handling

java
import com.azure.core.exception.HttpResponseException;

try {
    client.beginAnalyzeDocument("prebuilt-receipt",
        new AnalyzeDocumentOptions("invalid-url"));
} catch (HttpResponseException e) {
    System.out.printf("Status: %d, Error: %s%n",
        e.getResponse().getStatusCode(), e.getMessage());
}

Migration from azure-ai-formrecognizer

Old (formrecognizer v4.x)New (documentintelligence v1.x)
DocumentAnalysisClientDocumentIntelligenceClient
DocumentAnalysisClientBuilderDocumentIntelligenceClientBuilder
DocumentModelAdministrationClientDocumentIntelligenceAdministrationClient
beginAnalyzeDocumentFromUrl(modelId, url)beginAnalyzeDocument(modelId, new AnalyzeDocumentOptions(url))
beginAnalyzeDocument(modelId, data)beginAnalyzeDocument(modelId, new AnalyzeDocumentOptions(data))
SyncPoller<OperationResult, AnalyzeResult>SyncPoller<AnalyzeOperationDetails, AnalyzeResult>
field.getValueAsString()field.getValueString()
field.getValueAsDate()field.getValueDate()
field.getValueAsDouble()field.getValueNumber()
field.getValueAsList()field.getValueList()
field.getValueAsMap()field.getValueObject()
mark.getSelectionMarkState()mark.getState()
adminClient.beginBuildDocumentModel(url, mode, prefix, options, ctx)adminClient.beginBuildDocumentModel(new BuildDocumentModelOptions(id, mode).setAzureBlobSource(...))
adminClient.getResourceDetails() → .getCustomDocumentModelCount()adminClient.getResourceDetails() → .getCustomDocumentModels().getCount()
FORM_RECOGNIZER_ENDPOINTDOCUMENT_INTELLIGENCE_ENDPOINT

Reference Files

FileContents
references/examples.mdComplete code examples for all scenarios

© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in .github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java of microsoft/skills.

  • SKILL.md
  • references/examples.md

Open the folder on GitHubat commit 354361d

Compare with similar skills

Azure AI Formrecognizer Java next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Azure AI Formrecognizer Java compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Azure AI Formrecognizer Java this skillmicrosoft/skills3.1k—~3.4kAutomated safety check: PassMIT
Azure AI Formrecognizer Javaaiskillstore/marketplace4305 repos~2.6kAutomated safety check: PassNone
Doc ProcessLeoYeAI/openclaw-master-skills2.2k—~5.2kAutomated safety check: NotesMIT
Telnyx Account Javamajiayu000/claude-skill-registry6661 repos~2.6kAutomated safety check: PassMIT
Extend Commands APIredis/lettuce5.8k—~7.7kAutomated safety check: NotesMIT
Writing Javadocredis/lettuce5.8k—~809Automated safety check: PassMIT

Similar skills

  • Azure AI Formrecognizer Java

    aiskillstore/marketplace

    Build document analysis applications using the Azure AI Document Intelligence SDK for Java.

    430 GitHub starsUsed in 5 repos~2.6k tokens
    Auto-check passed
  • Doc Process

    LeoYeAI/openclaw-master-skills

    Document intelligence: categorize, autofill forms, analyze contracts, scan receipts/invoices, analyze bank statements, parse resumes/CVs, scan IDs/passports (MRZ), summarize medical records, redact…

    2.2k GitHub stars~5.2k tokensUpdated 2 mo ago
    Documents & OfficeAuto-check: notes
  • Telnyx Account Java

    majiayu000/claude-skill-registry

    Manage account balance, payments, invoices, webhooks, and view audit logs and detail records.

    666 GitHub starsUsed in 1 repo~2.6k tokens
    Backend & APIsAuto-check passed
  • Extend Commands API

    redis/lettuce

    Official

    Add or extend Redis commands in the Lettuce client API end-to-end — a new core command, a family of new commands, an extension to an existing command's options, or a module/area command…

    5.8k GitHub stars~7.7k tokensUpdated today
    DatabasesAuto-check: notes
  • Writing Javadoc

    redis/lettuce

    Official

    A skill your agent uses when writing or editing Javadoc for Lettuce public API — new methods, classes, deprecations, or when a reviewer asks to fix or improve doc comments.

    5.8k GitHub stars~809 tokensUpdated today
    DatabasesAuto-check passed
  • Azsdk Common Generate SDK Locally

    Azure/azure-sdk-for-android

    Official

    Generate, build, and test Azure SDKs locally from TypeSpec with automatic customization.

    121 GitHub stars~1.5k tokensUpdated 4 mo ago
    DevelopmentAuto-check passed

More from microsoft/skills

All 150 skills in this repo
  • Official

    Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.

    3.1k GitHub starsUsed in 6 repos~2.8k tokens
    Auto-check passed
  • Official

    Python guidance for the Azure AI Search SDK covering vector, hybrid and semantic search, index management and indexers, with Entra ID authentication preferred over keys.

    3.1k GitHub starsUsed in 6 repos~4.4k tokens
    Auto-check passed
  • Official

    Covers producer, consumer, and checkpoint-store setup for Azure Event Hubs streaming in Python, with Entra ID auth and partition targeting.

    3.1k GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed
  • Pydantic Models Py

    microsoft/skills

    Official

    Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants.

    3.1k GitHub starsUsed in 6 repos~496 tokens
    Auto-check passed
  • Official

    Builds podcast-style audio narration from text with Azure OpenAI's GPT Realtime Mini over WebSocket, from a Python FastAPI backend to a React player.

    3.1k GitHub starsUsed in 1 repo~947 tokens
    Auto-check passed
  • Frontend UI Dark TS

    microsoft/skills

    Official

    Build dark-themed React applications using Tailwind CSS with custom theming, glassmorphism effects, and Framer Motion animations.

    3.1k GitHub starsUsed in 5 repos~3.6k tokens
    Auto-check passed

Questions about Azure AI Formrecognizer Java

What does Azure AI Formrecognizer Java do?

Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence). Azure AI Formrecognizer Java is an agent skill from microsoft/skills, published by the product's own GitHub organization.azure:azure-ai-documentintelligence).

When should I use Azure AI Formrecognizer Java?

Azure AI Formrecognizer Java fits situations like: extracting text; key-value pairs from documents; building custom document models.

How do I install Azure AI Formrecognizer Java in Claude Code?

Run `npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a claude-code`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java in microsoft/skills) into .claude/skills/azure-ai-formrecognizer-java in your project. Claude Code loads it when a task matches its description.

How do I install Azure AI Formrecognizer Java in Codex?

Run `npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a codex`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java in microsoft/skills) into .agents/skills/azure-ai-formrecognizer-java in your project. Codex loads it when a task matches its description.

Can I use Azure AI Formrecognizer Java in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-ai-formrecognizer-java, .gemini/skills/azure-ai-formrecognizer-java, .github/skills/azure-ai-formrecognizer-java and .opencode/skills/azure-ai-formrecognizer-java in your project.

What does Azure AI Formrecognizer Java need to run?

Going by SKILL.md and its folder, Azure AI Formrecognizer Java needs credentials named AZURE_TOKEN_CREDENTIALS and DOCUMENT_INTELLIGENCE_KEY. Our summary lists: A credential in DOCUMENT_INTELLIGENCE_KEY.

Does Azure AI Formrecognizer Java access the network?

SKILL.md names 2 domains. In commands or code: learn.microsoft.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.

Is Azure AI Formrecognizer Java safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Azure AI Formrecognizer Java use?

Azure AI Formrecognizer Java is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Azure AI Formrecognizer Java use?

About 3.4k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.2k tokens, read only when the agent opens those files.

What are the alternatives to Azure AI Formrecognizer Java?

Skills that share tags, products or a category with Azure AI Formrecognizer Java: Azure AI Formrecognizer Java (aiskillstore/marketplace, 430 stars), Doc Process (LeoYeAI/openclaw-master-skills, 2.2k stars), Telnyx Account Java (majiayu000/claude-skill-registry, 666 stars) and Extend Commands API (redis/lettuce, 5.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Azure AI Formrecognizer Java?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/skills, which has 3,086 GitHub stars. The repository holds 150 skills in this directory. The repository was last updated on October 6, 2026.

Source: microsoft/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.