# Local Dev

> Use this tool when you need to automate environment setup, dependency management, and testing for local development projects. It solves problems related to manual configuration and management of dev environments, supporting languages like Python, Node, and Bun. Ideal for use cases where AI assistants can streamline development workflows, handling inputs like project requirements and outputting fully configured environments.

Canonical page: https://skillsregistry.net/skills/txbm-local-dev-sandbox  
JSON: https://api.skillsregistry.net/v1/skills/txbm-local-dev-sandbox

## Description

A local development environment manager that lets LLMs configure and manage dev environments for you. Built for AI assistants to handle environment setup, dependency management, and testing automatically.

Supports Python, Node, Bun and many test runners. Lots more features in the works to make interacting with local dev environments a breeze via LLMs!

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/txbm-local-dev-sandbox)
- **Repository:** <https://github.com/txbm/mcp-local-dev>

## 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": "txbm-local-dev-sandbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/txbm-local-dev-sandbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/txbm-local-dev-sandbox/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