# streamkit

> streamkit — sanskaragrawal2107-streamkit. Use this tool when you need to manage and optimize image assets on your own server, providing an alternative to cloud-based services like ImageKit and Cloudinary. Streamkit solves problems related to image processing, storage, and delivery, offering a self-hostable solution with git integration for version control. It accepts image files as input and outputs optimized, processed images, suitable for use cases where data ownership and customization are crucial.

Canonical page: https://skillsregistry.net/skills/sanskaragrawal2107-streamkit  
JSON: https://api.skillsregistry.net/v1/skills/sanskaragrawal2107-streamkit

## Description

opensource self hostable alternative to imagekit,cloudinary

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Sanskaragrawal2107/streamkit)

## 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": "sanskaragrawal2107-streamkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sanskaragrawal2107-streamkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sanskaragrawal2107-streamkit/pull`

---
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