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Lesson

Checked
win4r·vlatest·ai-ml

This "Lesson" skill generates structured learning content—text, questions, and answers—to explain concepts clearly and effectively for study or training.

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 cortexreach/memory-lancedb-pro --skill lesson -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

win4r

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 win4r/memory-lancedb-pro at 0b6acc418f.

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

Commit
0b6acc418f
Manifest
skills/lesson/SKILL.md
Scanned
1 file, 26 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

Lesson Skill Guide

What it does

This skill enables AI agents to interact with and manage structured data within a LanceDB vector database environment. It facilitates the execution of specific operations required for data retrieval, storage, and analysis tasks associated with the memory-lancedb-pro ecosystem.

When to use it

  • Retrieving stored vectors or embeddings from a LanceDB instance for downstream processing.
  • Updating or inserting new data points into a vector database managed by the agent.
  • Executing complex queries that require understanding of LanceDB-specific syntax and capabilities.
  • Automating workflows that depend on persistent, high-performance vector storage.

Key capabilities

  • Integration with LanceDB for efficient vector management.
  • Execution of domain-specific commands tailored to memory-lancedb-pro.
  • Support for structured data operations within the agent's runtime environment.

Example prompts

  • "Store this new embedding vector in the active LanceDB collection using the lesson skill."
  • "Query the vector database for similar items based on the provided text description."
  • "Update the metadata associated with a specific vector ID in the memory-lancedb-pro system."

Tips & gotchas

Ensure the AI agent has proper permissions and connectivity to the target LanceDB instance before attempting data operations. This skill is specifically designed for the memory-lancedb-pro context; using it with incompatible database systems may result in errors or unexpected behavior.