Skip to content
TrustedSkillsbeta
Back to all skills

Typescript

Checked
martinholovsky·vlatest·backend·Unlicense

Generates robust, well-documented TypeScript code following Martin Holovky's architectural principles for scalable backends.

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 martinholovsky/claude-skills-generator --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

martinholovsky

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 martinholovsky/claude-skills-generator at 1086ef2567.

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

Commit
1086ef2567
Manifest
skills/typescript/SKILL.md
Scanned
3 files, 675 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

typescript

What it does

This skill enables AI agents to write, analyze, and debug TypeScript code within backend applications. It leverages the static typing system to ensure code correctness and maintainability during generation tasks.

When to use it

  • Generating new backend modules or services that require strict type safety.
  • Refactoring existing JavaScript codebases to add type definitions for better IDE support.
  • Debugging runtime errors by analyzing type mismatches in complex data structures.
  • Creating unit tests with strongly typed interfaces to prevent regression bugs.

Key capabilities

  • Full TypeScript syntax generation and manipulation.
  • Type inference and definition creation for functions and classes.
  • Code analysis to identify potential type errors before execution.
  • Integration with backend development workflows requiring compiled languages.

Example prompts

  • "Create a TypeScript interface for a User object and a function to validate user input against it."
  • "Refactor this JavaScript API handler into TypeScript, adding proper types for request and response objects."
  • "Explain why this specific line of code is causing a type error in my backend service and provide the fix."

Tips & gotchas

Ensure your AI agent has access to the relevant project context or library definitions when generating complex types. While powerful, always verify generated code against your specific linter rules, as TypeScript offers many configuration options that may affect output style.