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Typescript

Checked
epicenterhq·vlatest·backend

Integrates EpicenterHQ data into TypeScript backend applications via a robust, type-safe API.

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 epicenterhq/epicenter --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

epicenterhq

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 epicenterhq/epicenter at f9441c8f6d.

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

Commit
f9441c8f6d
Manifest
.agents/skills/typescript/SKILL.md
Scanned
8 files, 1,457 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 safer backend development and maintainable codebases.

When to use it

  • Generating new backend modules with strict type definitions from scratch.
  • Refactoring existing JavaScript or TypeScript files to add type safety.
  • Debugging complex logic errors by analyzing type mismatches in the codebase.
  • Creating unit tests that validate function inputs and outputs against specific types.

Key capabilities

  • Syntax generation for TypeScript across various frameworks.
  • Type inference and static analysis to catch errors before runtime.
  • Conversion between JavaScript and TypeScript with appropriate typing.
  • Debugging assistance specifically tailored to type-related issues.

Example prompts

  • "Create a REST API endpoint in TypeScript using Express that validates user input types."
  • "Refactor this untyped JavaScript function into TypeScript, adding interfaces for all data structures."
  • "Explain why the compiler is throwing an error about incompatible types in this backend service module."

Tips & gotchas

Ensure your AI agent has access to the project's existing type definitions (e.g., tsconfig.json, .d.ts files) to maintain consistency. While TypeScript offers strong safety, complex legacy codebases may require iterative refactoring rather than a single automated pass.