Skip to content
TrustedSkillsbeta
Back to all skills

Cloudflare Vectorize

Checked
ovachiever·vlatest·cloud

Vectorizes Cloudflare data using AI to identify anomalies, optimize performance, and enhance security insights.

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-vectorize -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-vectorize/SKILL.md
Scanned
14 files, 4,608 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 allows AI agents to leverage Cloudflare's Vectorize service for efficient and cost-effective text embedding generation. It provides a streamlined interface for converting text into vector representations, which are essential for tasks like semantic search, document similarity analysis, and powering knowledge bases. The skill simplifies the process of interacting with Cloudflare’s API, abstracting away complex configurations.

When to use it

  • Semantic Search: Build a search engine that understands the meaning of queries rather than just keyword matches.
  • Document Similarity: Find documents or passages similar in content to a given text snippet.
  • Knowledge Base Enrichment: Embed knowledge base articles for faster and more relevant retrieval.
  • Content Recommendation: Recommend related content based on vector similarity between pieces of text.

Key capabilities

  • Cloudflare Vectorize API integration
  • Text embedding generation
  • Simplified API interaction
  • Cost-effective text processing

Example prompts

  • "Generate a vector embedding for this product description: 'The new SuperWidget 3000 is faster and more efficient.'"
  • "Embed these customer reviews and find the most similar review to 'This product broke after only one week!'"
  • "Create embeddings for all articles in my blog and index them for semantic search."

Tips & gotchas

  • Requires a Cloudflare account with Vectorize enabled.
  • Be mindful of Cloudflare's rate limits when processing large volumes of text.