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Cloudflare Workers Ai

Checked
ovachiever·vlatest·cloud

Helps with Cloudflare, AI as part of deploying and managing cloud infrastructure workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add ovachiever/droid-tings --skill cloudflare-workers-ai -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

ovachiever

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 ovachiever/droid-tings at 7acd12a754.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7acd12a754
Manifest
skills/cloudflare-workers-ai/SKILL.md
Scanned
10 files, 3,682 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact with Cloudflare Workers AI, allowing them to leverage edge-based machine learning models directly from serverless functions. It facilitates real-time inference tasks such as text generation, image analysis, and audio processing without managing local infrastructure.

When to use it

  • Deploying low-latency AI features globally via the Cloudflare network.
  • Processing user inputs like chat messages or uploaded images in real time.
  • Reducing costs by avoiding heavy GPU instances for sporadic inference workloads.
  • Integrating pre-trained models into existing serverless applications quickly.

Key capabilities

  • Access to a suite of pre-trained AI models hosted on the edge.
  • Execution of inference tasks directly within Cloudflare Workers.
  • Support for various input types including text, images, and audio.
  • Seamless integration with existing serverless workflows.

Example prompts

  • "Run a sentiment analysis on this customer review using Cloudflare Workers AI."
  • "Generate a short story based on the keyword 'cyberpunk' via edge inference."
  • "Analyze the provided image to detect any safety violations before storing it."

Tips & gotchas

Ensure your Cloudflare account has access to the Workers AI service and that you have selected appropriate models for your specific use case. Be mindful of input size limits and token quotas imposed by the platform when designing high-volume workflows.