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Typescript Pro

Listed
sickn33·vlatest·backend·MIT

Generates production-ready TypeScript backend code, optimized for performance and maintainability, following 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 sickn33/agentic-awesome-skills --skill typescript-pro -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

sickn33

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 sickn33/agentic-awesome-skills at c808e6e480.

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

Scanned
0 files
Copies in repo
3 — 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 enables AI agents to write, debug, and refactor code using TypeScript. It provides the necessary context for generating type-safe scripts and managing complex project structures within a backend environment.

When to use it

  • Generating new backend services or APIs that require strict typing.
  • Refactoring existing JavaScript codebases to improve maintainability and safety.
  • Debugging runtime errors caused by type mismatches in Node.js applications.
  • Creating unit tests with proper type assertions for complex data structures.

Key capabilities

  • Writing production-ready TypeScript syntax and configurations.
  • Analyzing and resolving type-related errors in code snippets.
  • Integrating with standard backend tooling like tsconfig.json and build pipelines.
  • Generating interfaces, types, and utility functions on demand.

Example prompts

  • "Create a Node.js REST API endpoint using Express and TypeScript that validates user input."
  • "Refactor this JavaScript function to use strict TypeScript typing for the database response."
  • "Debug why my TypeScript compiler is throwing an error about missing type definitions in this module."

Tips & gotchas

Ensure your AI agent has access to the project's tsconfig.json or relevant configuration files to generate context-aware code. This skill is most effective when paired with a backend runtime environment capable of executing compiled TypeScript or JavaScript.