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Typescript

Checked
lobehub·vlatest·backend

Generates production-ready TypeScript code for Lobe models, streamlining integration into your 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 lobehub/lobehub --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

lobehub

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 lobehub/lobe-chat at 0b22b7f532.

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

Commit
0b22b7f532
Manifest
.agents/skills/typescript/SKILL.md
Scanned
1 file, 47 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 allows agents to leverage static typing for better code reliability and integrate seamlessly with modern JavaScript ecosystems.

When to use it

  • Generating type-safe boilerplate code for new backend services or APIs.
  • Refactoring existing JavaScript projects to add static type definitions.
  • Debugging complex logic errors by analyzing type mismatches in the codebase.
  • Creating unit tests with strict type checking to ensure data integrity.

Key capabilities

  • Full TypeScript syntax support including interfaces, generics, and unions.
  • Code analysis for identifying potential type errors before runtime.
  • Integration with Node.js environments for server-side development.
  • Ability to generate .ts files and manage compilation configurations.

Example prompts

  • "Create a TypeScript interface for a User object with fields for id, name, and email."
  • "Refactor this JavaScript function to use TypeScript strict typing and add error handling."
  • "Explain the type inference logic in this specific React component written in TypeScript."

Tips & gotchas

Ensure your AI agent has access to a Node.js runtime or a compatible environment to execute compiled TypeScript code. For best results, provide context about your existing project structure when asking for refactoring tasks.