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Javascript Typescript

Listed
plurigrid·vlatest·backend·MIT

Helps with JavaScript, TypeScript as part of developing backend services and APIs workflows.

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 plurigrid/asi --skill javascript-typescript -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

plurigrid

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 plurigrid/asi at 293ce9f76e.

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

Scanned
0 files
Copies in repo
2 — all of them scanned
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 allows AI agents to understand and generate JavaScript and TypeScript code. It facilitates tasks ranging from simple script creation to complex application development, leveraging both languages' strengths. The agent can interpret existing code, debug issues, and produce new, functional code snippets based on user requests.

When to use it

  • Code Generation: Generate a function in JavaScript to calculate the factorial of a number.
  • Debugging Assistance: Provide a snippet of TypeScript code with an error and ask the agent to identify and correct it.
  • Code Translation: Convert a simple JavaScript algorithm into its equivalent TypeScript implementation.
  • Documentation Creation: Generate JSDoc style comments for existing Javascript functions.

Key capabilities

  • JavaScript Code Generation
  • TypeScript Code Generation
  • Code Debugging
  • Code Translation (JavaScript to TypeScript)
  • JSDoc Comment Generation

Example prompts

  • "Write a JavaScript function that sorts an array of numbers in ascending order."
  • "I have this TypeScript code: //code snippet. Why isn't it working?"
  • “Convert the following Javascript into Typescript: //Javascript Code”

Tips & gotchas

The agent’s performance is dependent on the clarity and specificity of your prompts. Providing context or examples can significantly improve the quality of generated code.