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Typescript Coding

Checked
otrebu·vlatest·backend

Generates, debugs, and refactors TypeScript code for robust and scalable backend applications using best practices.

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 otrebu/agents --skill typescript-coding -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

otrebu

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 otrebu/agents at bfdafbf23c.

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

Scanned
5 files, 1,062 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 allows an AI agent to generate, understand, and debug TypeScript code. It can assist with tasks ranging from writing simple functions to building complex data structures. The agent can also analyze existing TypeScript code for potential errors or improvements.

When to use it

  • Code generation: Need a function to perform a specific task? Ask the agent to write it in TypeScript.
  • Debugging assistance: Facing issues with your TypeScript codebase? The agent can help identify and fix bugs.
  • Code review: Want an automated assessment of your code quality? The agent can provide feedback on style, potential errors, and areas for improvement.
  • Learning TypeScript: New to the language? Ask the agent to explain concepts or generate examples.

Key capabilities

  • TypeScript code generation
  • Debugging assistance
  • Code analysis
  • Understanding of TypeScript syntax and semantics

Example prompts

  • "Write a TypeScript function that calculates the factorial of a number."
  • "I'm getting an error 'Type X is not assignable to type Y'. Can you help me fix it?"
  • "Can you review this TypeScript code for potential performance issues?"

Tips & gotchas

The agent’s effectiveness depends on providing clear and specific instructions. Be sure to specify the desired functionality, input types, and expected output when requesting code generation.