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Chromadb Integration Skills

Checked
kimasplund·vlatest·ai-ml·MIT

Seamlessly integrates ChromaDB vector databases into your workflows for enhanced search, retrieval, and knowledge management capabilities.

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 kimasplund/claude_cognitive_reasoning --skill chromadb-integration-skills -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

kimasplund

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 kimasplund/claude_cognitive_reasoning at 2929d8bcdd.

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

Commit
2929d8bcdd
Manifest
skill-frameworks/chromadb-integration-skills/SKILL.md
Scanned
5 files, 2,665 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 ChromaDB, an open-source vector database. It allows agents to store and retrieve data based on semantic similarity, enabling capabilities like question answering over documents and building knowledge bases. The integration facilitates efficient searching and retrieval of information from large datasets.

When to use it

  • Question Answering: Build a chatbot that answers questions using your own documents stored in ChromaDB.
  • Semantic Search: Allow users to search for content based on meaning, rather than keywords.
  • Knowledge Base Creation: Create and maintain a structured knowledge base from unstructured data by embedding it into ChromaDB.
  • Document Similarity: Find documents similar to a given query or document within your dataset.

Key capabilities

  • Connects to ChromaDB instances.
  • Stores embeddings in ChromaDB.
  • Retrieves relevant information based on semantic similarity.
  • Supports querying and filtering data within ChromaDB.

Example prompts

  • "Find documents similar to 'customer service best practices'."
  • "Answer the question: 'What is the return policy?' using the knowledge base in ChromaDB."
  • "Store this article about AI safety into ChromaDB for future reference."

Tips & gotchas

  • Requires a running ChromaDB instance and appropriate connection credentials.
  • The quality of results depends heavily on the quality of embeddings used to represent your data.