Azure Ai Contentunderstanding Py
CheckedHelps with Azure, AI as part of deploying and managing cloud infrastructure workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add claudedjale/skillset --skill azure-ai-contentunderstanding-py -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
claudedjale
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned claudedjale/skillset at 154f146735.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 154f146735
- Scanned
- 2 files, 445 lines
About this skill
What it does
This skill leverages the Azure AI Content Understanding (formerly Form Recognizer) service using Python. It allows an agent to extract structured data from documents like invoices, receipts, and forms. Specifically, it can identify key-value pairs, tables, and prebuilt form models for automated document processing.
When to use it
- Automating invoice processing: Extract vendor names, dates, amounts, and line items from scanned invoices.
- Receipt organization: Automatically capture details like store name, date, total amount, and individual item prices from receipts.
- Data entry from forms: Populate databases or spreadsheets with information extracted from standardized forms.
- Extracting data from contracts: Identifying key clauses and dates within legal documents.
Key capabilities
- Key-value pair extraction
- Table extraction
- Prebuilt form models (e.g., invoice, receipt)
- Python integration for flexible processing
- Leverages Azure AI Content Understanding service
Example prompts
- "Extract the vendor name and total amount from this invoice image."
- "Can you find all the dates and amounts listed in this contract?"
- "Process this receipt and save the store name, date, and total to a file."
Tips & gotchas
- Requires an active Azure subscription and appropriate permissions to access the Content Understanding service.
- The accuracy of data extraction depends on the quality and clarity of the input document images.