Caption Generator for DaVinci Resolve for Openclaw

An AI-powered video captioning skill that automatically generates and burns subtitles into DaVinci Resolve exports without manual timeline editing.

linmillsd7
v1.0.0
Apr 13, 2026
0
342
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install caption-generator-davinci-resolve

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install caption-generator-davinci-resolve using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Caption Generator for DaVinci Resolve?

The Caption Generator for DaVinci Resolve is a specialized tool designed for video editors who need to bypass the tedious manual subtitle workflows within their NLE. By leveraging remote GPU nodes, this skill allows users to upload video clips and receive fully captioned, 1080p MP4 files ready for social media or professional distribution.

Built as part of the Openclaw Skills ecosystem, it provides a seamless bridge between raw video exports and finished, captioned content. It eliminates the need for local rendering or complex plugin installations, handling everything from speech-to-text transcription to final video compositing in the cloud.

Caption Generator for DaVinci Resolve Use Cases

  • Automatically burn captions into interview clips exported from DaVinci Resolve.
  • Rapidly generate subtitles for short-form social media content (TikTok, Reels, Shorts).
  • Batch process multiple video clips with different captioning styles in a single session.
  • Refine and iterate on video overlays and audio tracks through a persistent AI-managed timeline.

How Caption Generator for DaVinci Resolve Works

  1. Authentication: The skill automatically establishes a secure connection using a NEMO_TOKEN, generating an anonymous session if one isn't already present.
  2. Session Initialization: A new editing session is created on the remote backend to track timeline state and media assets.
  3. Media Upload: Users provide video clips (MP4, MOV, AVI, etc.) which are sent to cloud storage for processing.
  4. Intent Processing: The AI analyzes user prompts to determine required actions, such as caption generation, aspect ratio adjustments, or background music integration.
  5. Cloud Rendering: The system queues a render job on GPU nodes to composite layers and apply platform-specific compression.
  6. Export: The final 1080p MP4 is generated and a download link is provided to the user.

Caption Generator for DaVinci Resolve Setup

To get started with this skill in your environment, ensure your NEMO_TOKEN is configured. If you don't have one, the skill will attempt to generate an anonymous token automatically during the first run.

# Example of setting the environment variable manually
export NEMO_TOKEN="your_token_here"

# The skill looks for configuration in:
# ~/.config/nemovideo/

Caption Generator for DaVinci Resolve Data Schema & Taxonomy

The skill manages data using a structured timeline schema with the following taxonomy:

Key Description
t Tracks (The primary container for media layers)
tt Track Type (0: Video, 1: Audio, 7: Text/Captions)
sg Segments (Individual clips or text blocks on the timeline)
d Duration (Measured in milliseconds)
m Metadata (Information regarding file source and properties)

Caption Generator for DaVinci Resolve Advanced Features

  • Server-Sent Events (SSE): Real-time streaming of editing progress and backend heartbeats to keep the user informed during long renders.
  • Multi-Agent Support: Specifically tuned to handle short-prompt variants for faster interaction within AI coding agents.
  • Automatic Re-authentication: Built-in logic to handle expired tokens (7-day lifecycle) and session recovery.
  • Platform-Specific Optimization: Automatically detects host platform (Clawhub or Cursor) to apply correct attribution headers and ensure API compatibility.

SKILL.md


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