Umbraco Picker Data Source
CheckedRetrieves Umbraco content picker values directly within your AI workflows, streamlining data access.
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 umbraco/umbraco-cms-backoffice-skills --skill umbraco-picker-data-source -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
umbraco
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 umbraco/umbraco-cms-backoffice-skills at 78b551bf9c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 78b551bf9c
- Scanned
- 1 file, 307 lines
About this skill
The umbraco-picker-data-source skill enables AI agents to retrieve and filter data from Umbraco CMS backoffice pickers, allowing dynamic content selection based on specific criteria. It streamlines the process of querying structured data within the CMS for use in agent workflows or external applications.
When to use it
- Dynamically fetching content items, media assets, or document types from an Umbraco instance during runtime.
- Filtering large datasets by specific properties such as date ranges, tags, or custom fields before processing.
- Integrating CMS content directly into AI agent responses without manual data extraction steps.
- Automating the population of dropdowns or selection lists in external tools connected to Umbraco.
Key capabilities
- Direct access to Umbraco CMS backoffice picker data structures.
- Support for querying specific content types and media items.
- Ability to filter results based on defined parameters.
- Seamless integration with AI agent decision-making processes.
Example prompts
- "Retrieve all news articles published in the last 30 days from the Umbraco CMS and summarize their headlines."
- "Fetch a list of approved media assets tagged with 'product' to generate an image caption for social media."
- "Query the content tree for all pages under the 'About Us' section and extract their navigation labels."
Tips & gotchas
Ensure your AI agent has the necessary permissions to access the Umbraco backoffice API endpoints being queried. Verify that the data source configuration correctly points to the target Umbraco instance before initiating complex queries.