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Qdrant

Checked
itechmeat·vlatest·ai-ml·MIT

Qdrant enables seamless integration with the Qdrant vector database for efficient semantic search and retrieval within your applications.

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 itechmeat/llm-code --skill qdrant -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

itechmeat

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 itechmeat/llm-code at 7ae8a00524.

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

Commit
7ae8a00524
Manifest
skills/qdrant/SKILL.md
Scanned
17 files, 1,507 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

The itechmeat-qdrant skill provides access to Qdrant, a vector database. It allows AI agents to store and retrieve vector embeddings for various data types like text, images, or audio. This enables semantic search, similarity matching, and other advanced capabilities based on the meaning of the data rather than just keyword matches.

When to use it

  • Semantic Search: Build a knowledge base where you can find information related to a topic even if the exact keywords aren't present in the query.
  • Recommendation Systems: Suggest similar items (products, articles, videos) based on vector similarity.
  • Image/Audio Similarity: Find images or audio clips that are visually or aurally similar to a given example.
  • Chatbot Memory: Store and retrieve conversation history as embeddings for more contextually aware responses.

Key capabilities

  • Vector storage
  • Similarity search
  • Filtering of vectors based on metadata
  • Support for various distance metrics (e.g., cosine, dot product)

Example prompts

  • "Store this text: 'The quick brown fox jumps over the lazy dog' with the title 'fox_example'."
  • "Find documents similar to 'cat sitting on a mat'."
  • "Retrieve all vectors tagged with 'news'."

Tips & gotchas

Qdrant requires an active Qdrant instance. Ensure your agent has proper credentials and network access to connect to the Qdrant server before using this skill.