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Ship Learn Next

Checked
lifangda·vlatest·ai-ml·MIT

Analyzes ship operational data to predict future maintenance needs and optimize performance using advanced machine learning.

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 lifangda/claude-plugins --skill ship-learn-next -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

lifangda

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 lifangda/claude-plugins at 76d90e8304.

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

Commit
76d90e8304
Manifest
cli-tool/skills-library/utility-automation/ship-learn-next/SKILL.md
Scanned
1 file, 321 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, ship-learn-next, allows AI agents to learn and adapt based on new information provided. It facilitates continuous learning by incorporating updates into existing knowledge bases and improving performance over time. The agent can then apply this updated knowledge to future tasks or conversations.

When to use it

  • Knowledge Base Updates: When you need an AI agent to incorporate new data, research findings, or policy changes into its understanding of a topic.
  • Performance Improvement: To refine the accuracy and effectiveness of an AI agent's responses over time by feeding it feedback and corrections.
  • Adaptive Learning: When your application requires the AI to adjust its behavior based on evolving user preferences or changing circumstances.
  • Continuous Training: For scenarios where ongoing learning is essential, such as customer service bots needing to stay updated with product changes.

Key capabilities

  • Incorporates new information into existing knowledge bases.
  • Improves agent performance over time.
  • Facilitates continuous learning and adaptation.

Example prompts

  • "Update my AI's knowledge about the latest advancements in quantum computing."
  • "Teach the agent that our company policy on remote work has changed to allow for fully remote positions."
  • “Correct the agent’s previous response regarding [specific topic] with this new information: [new information]."

Tips & gotchas

The skill's effectiveness depends on providing clear and accurate updates. Ensure the provided data is well-structured and relevant to avoid confusing the AI agent's knowledge base.