# canvas-drop

> canvas-drop — markpasternak-canvas-drop. Use this tool when you need to turn web artifacts into reusable tools for your team, with features like access control and version history. It solves problems of collaboration and knowledge sharing by allowing publication from files or AI agents, with a self-hosted and open-source solution. It takes in web artifacts and outputs reusable tools, ideal for use cases where teams need to improve and iterate on shared resources.

Canonical page: https://skillsregistry.net/skills/markpasternak-canvas-drop  
JSON: https://api.skillsregistry.net/v1/skills/markpasternak-canvas-drop

## Description

Turn web artifacts into tools your team can use. Publish from files or an AI agent, control access, and keep improving the same URL. Self-hosted and open source, with version history, backend primitives and MCP.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/markpasternak/canvas-drop)

## 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": "markpasternak-canvas-drop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markpasternak-canvas-drop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markpasternak-canvas-drop/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