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Writing Typescript Code

Checked
microsoft-foundry·vlatest·backend·MIT

Helps with writing, TypeScript as part of developing backend services and APIs workflows.

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 microsoft-foundry/foundry-agent-webapp --skill writing-typescript-code -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

microsoft-foundry

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 microsoft-foundry/foundry-agent-webapp at f6cb362901.

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

Commit
f6cb362901
Manifest
.github/skills/writing-typescript-code/SKILL.md
Scanned
1 file, 239 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 the AI agent to generate and write TypeScript code. It can produce complete files, functions, or snippets based on natural language instructions. The generated code is intended to be functional and adhere to common TypeScript conventions.

When to use it

  • Rapid prototyping: Quickly generate basic TypeScript structures for new projects or features.
  • Code generation from descriptions: Translate high-level feature requirements into initial TypeScript implementations.
  • Automated scaffolding: Create boilerplate code for components, services, or other modules.
  • Learning and experimentation: Explore different approaches to solving problems in TypeScript with AI assistance.

Key capabilities

  • Generates complete TypeScript files.
  • Produces individual functions based on descriptions.
  • Creates code snippets.

Example prompts

  • "Write a TypeScript function that calculates the factorial of a number."
  • "Generate a React component with a button and a state variable to track clicks."
  • "Create a TypeScript interface for a user object with properties name, email, and age."

Tips & gotchas

The skill's output is best used as a starting point. Review and test the generated code thoroughly before deploying it into production environments.