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Javascript Mastery

Checked
davila7·vlatest·backend·MIT

Generates, debugs, and optimizes complex Node.js/JavaScript backend code with expert-level proficiency and best practices.

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 davila7/claude-code-templates --skill javascript-mastery -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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/development/javascript-mastery/SKILL.md
Scanned
1 file, 598 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 empowers AI agents to generate, debug, and refactor robust JavaScript code with expert-level proficiency. It handles everything from writing complex algorithms to optimizing performance in backend environments.

When to use it

  • Building scalable Node.js microservices or server-side applications.
  • Debugging intricate logic errors or memory leaks in existing codebases.
  • Refactoring legacy JavaScript into modern, maintainable ES6+ standards.
  • Creating automated scripts for data processing or API integration tasks.

Key capabilities

  • Advanced algorithm implementation and optimization
  • Full-stack JavaScript development support
  • Automated debugging and error resolution
  • Code refactoring for improved readability and performance
  • Backend logic construction and API design

Example prompts

  • "Refactor this legacy Node.js module to use modern async/await patterns and add comprehensive error handling."
  • "Debug why my Express server is returning 500 errors when processing large JSON payloads."
  • "Generate a high-performance JavaScript function to sort and filter a massive dataset without loading it all into memory."

Tips & gotchas

Ensure your AI agent has access to the specific runtime environment (e.g., Node version) to avoid compatibility issues with generated code. For complex backend architectures, provide context about existing dependencies to ensure the new code integrates seamlessly.