# dvr

> dvr — mhadifilms-dvr. Use this tool when you need to automate video editing, color grading, and rendering tasks with precision and control. The dvr tool solves problems related to media post-production by providing a programmable interface for AI agents, allowing for declarative specifications and structured JSON output. It is ideal for use cases where automated editing and rendering are required, with inputs including declarative specs and outputs in structured JSON format.

Canonical page: https://skillsregistry.net/skills/mhadifilms-dvr  
JSON: https://api.skillsregistry.net/v1/skills/mhadifilms-dvr

## Description

DaVinci Resolve CLI, Python library, and MCP server. Automate editing, color, and rendering with LLM-friendly tools for AI agents (Claude, Cursor), declarative specs, and structured JSON output. No more silent None returns.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/mhadifilms/dvr)

## 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": "mhadifilms-dvr"
    }
  }
}
```

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