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Ship Learn Next

Checked
ryanhudson·vlatest·other·MIT

Analyzes ship performance data to predict optimal upgrades and strategies for improved efficiency and speed.

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 ryanhudson/tapestry-skills-for-claude-code --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

ryanhudson

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 ryanhudson/tapestry-skills-for-claude-code at 1e3ebc8815.

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

Commit
1e3ebc8815
Manifest
skills/ship-learn-next/SKILL.md
Scanned
1 file, 238 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 ship-learn-next skill allows an AI agent to learn from and apply the principles of "shipping" code, a methodology focused on iterative development and continuous improvement. It facilitates breaking down large tasks into smaller, manageable units, prioritizing work based on impact, and incorporating feedback loops for rapid learning. The skill aims to improve the efficiency and quality of code generation through this structured approach.

When to use it

  • Complex coding projects: Use when facing a large or ambiguous programming task that needs to be broken down into smaller steps.
  • Debugging & Refactoring: Employ to systematically identify, address, and refine existing code for improved performance and maintainability.
  • Learning new technologies: Leverage the skill to quickly grasp new frameworks or libraries by focusing on building small, functional components first.
  • Improving coding speed: Utilize it to optimize workflow and reduce wasted effort through iterative development cycles.

Key capabilities

  • Iterative code generation
  • Prioritization of tasks based on impact
  • Feedback loop integration
  • Code decomposition into smaller units
  • Continuous improvement methodology

Example prompts

  • "Ship me a function that calculates the factorial of a number, focusing on simplicity and testability."
  • "Break down this project into shippable increments. What's the highest-impact first step?"
  • "Refactor this code using the 'ship-learn-next' principles to improve readability and maintainability."

Tips & gotchas

The skill is most effective when used in conjunction with a clear understanding of software development fundamentals. It’s designed to guide the process, but requires user input regarding priorities and desired outcomes.