# BatchIt

> Use this tool when you need to build scalable and type-safe AI integrations, such as natural language processing, data analysis, or machine learning model deployment. BatchIt provides a robust foundation for developing AI-powered applications with modularity and extensibility in mind. It takes in TypeScript code and outputs high-quality, maintainable AI applications with comprehensive linting and build configurations.

Canonical page: https://skillsregistry.net/skills/ryanjoachim-batchit  
JSON: https://api.skillsregistry.net/v1/skills/ryanjoachim-batchit

## Description

This MCP implementation, developed using TypeScript, provides a robust foundation for building AI-powered applications. It leverages modern JavaScript features and strict type checking to ensure code quality and maintainability. The implementation focuses on modularity and extensibility, with a well-structured project setup including comprehensive linting and build configurations. It's particularly useful for developers looking to create scalable and type-safe AI integrations, enabling use cases such as natural language processing, data analysis, and machine learning model deployment without compromising on code quality or development experience.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ryanjoachim-batchit)
- **Repository:** <https://github.com/ryanjoachim/mcp-batchit>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ryanjoachim-batchit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryanjoachim-batchit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryanjoachim-batchit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt