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Lamindb

Checked
drshailesh88·vlatest·data

Lamindb allows you to quickly query and analyze your database using natural language, making data exploration effortless and efficient.

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 drshailesh88/integrated_content_os --skill lamindb -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

drshailesh88

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 drshailesh88/integrated_content_os at 9e61937ad2.

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

Commit
9e61937ad2
Manifest
skills/scientific/lamindb/SKILL.md
Scanned
7 files, 3,231 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, drshailesh88-lamindb, integrates with LamiDB. It allows AI agents to access and utilize data stored within a LamiDB database. This enables agents to perform tasks like retrieving information, generating content based on specific datasets, and dynamically updating their knowledge base using the connected LamiDB instance.

When to use it

  • Knowledge-intensive tasks: When your agent needs to draw upon a large dataset for question answering or report generation.
  • Dynamic content creation: To generate blog posts, product descriptions, or other content that is tailored to data stored in LamiDB.
  • Personalized experiences: To provide users with information and recommendations based on their specific profiles or preferences stored within LamiDB.
  • Real-time updates: When your agent needs to react to changes in a dataset by updating its responses or actions.

Key capabilities

  • Connects to a LamiDB database.
  • Retrieves data from the connected LamiDB instance.
  • Utilizes retrieved data for content generation.
  • Dynamically updates knowledge base using LamiDB data.

Example prompts

  • "Retrieve all customer reviews with a rating of 5 stars from LamiDB."
  • "Generate a blog post about the latest product releases, pulling information from the 'product_releases' collection in LamiDB."
  • “Summarize the key findings from the ‘sales_data’ table in LamiDB.”

Tips & gotchas

  • Ensure you have a running LamiDB instance and the connection details (URL, API Key) are correctly configured for the agent to access it.