# TweekIT

> Use this tool when you need to convert and transform various file types into AI-compatible formats, solving issues with incompatible file formats and enabling seamless integration into AI workflows. It takes in 400+ file types, including Photoshop, CAD, and Office documents, and outputs standardized formats like PDF, PNG, and JPEG. Ideal for use cases requiring format conversion, resizing, and normalization of unpredictable input files.

Canonical page: https://skillsregistry.net/skills/tweekit  
JSON: https://api.skillsregistry.net/v1/skills/tweekit

## Description

Converts and transforms 400+ file types into AI-compatible formats including PDF, PNG, JPEG, and WebP. Built on Equilibrium's MediaRich Server engine, developed since 2000 and trusted by massive portals worldwide. Handles resizing, cropping, format conversion, and background color adjustments through a stateless base64-encoded pipeline. Normalizes unpredictable input formats including Photoshop, CAD files, raw camera formats, and legacy Office documents into standardized outputs ready for AI workflows.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "tweekit"
    }
  }
}
```

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