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Typescript

Checked
mindrally·vlatest·backend·Apache-2.0

Generates robust, scalable TypeScript backend code from natural language descriptions, accelerating development cycles.

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 mindrally/skills --skill 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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
typescript/SKILL.md
Scanned
1 file, 69 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

The TypeScript skill enables AI agents to write, analyze, and debug code using the TypeScript programming language. It supports type checking, static analysis, and integration with common build tools like Webpack or Vite for robust backend development.

When to use it

  • Generating type-safe API endpoints and server-side logic.
  • Refactoring existing JavaScript codebases to add strict typing.
  • Creating unit tests with precise type definitions to catch errors early.
  • Debugging complex runtime issues by leveraging static type inference.

Key capabilities

  • Full TypeScript syntax support including interfaces, generics, and unions.
  • Static type checking to identify errors before execution.
  • Integration with npm packages and standard backend libraries.
  • Code generation that adheres to strict typing rules.

Example prompts

  • "Create a Node.js server function that accepts a user object with typed properties for name and email."
  • "Refactor this JavaScript snippet into TypeScript, adding interfaces for the data model."
  • "Write a utility function that validates input types against a specific interface definition."

Tips & gotchas

Ensure your AI agent has access to the necessary npm packages or type definitions (e.g., @types/node) to avoid compilation errors. While powerful, complex generic constraints may require iterative prompting to resolve correctly.