Skip to content
TrustedSkillsbeta
Back to all skills

Typescript

Checked
alinaqi·vlatest·backend·MIT

Generates, debugs, and explains TypeScript code for robust and scalable Node.js backend applications.

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 alinaqi/maggy --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

alinaqi

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 alinaqi/maggy at 72a456e6cc.

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

Commit
72a456e6cc
Manifest
skills/typescript/SKILL.md
Scanned
1 file, 223 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 enables AI agents to write, debug, and refactor code using TypeScript. It provides type safety and static analysis to catch errors before runtime execution.

When to use it

  • Building new backend services requiring strict type definitions for data structures.
  • Refactoring existing JavaScript codebases to improve maintainability and reduce bugs.
  • Generating unit tests with precise type checking for complex logic flows.
  • Creating configuration files or interfaces that need compile-time validation.

Key capabilities

  • Full TypeScript syntax support for modern development workflows.
  • Automatic type inference and error detection during code generation.
  • Integration with backend projects to enforce strict typing standards.
  • Support for defining interfaces, generics, and utility types.

Example prompts

  • "Create a REST API endpoint in TypeScript that validates user input against a specific schema."
  • "Refactor this JavaScript function into TypeScript, adding necessary type annotations and interfaces."
  • "Generate a set of reusable TypeScript utility functions for handling date formatting and validation."

Tips & gotchas

Ensure your AI agent has access to a compatible TypeScript compiler or linter to verify generated code. For large projects, explicitly define strict configuration settings to maximize the benefit of static type checking.