Clip Maker for Openclaw

Clip Maker is a high-performance AI video processing skill that converts raw footage into trimmed, high-quality clips using cloud GPU rendering.

tk8544-b
v1.0.0
May 1, 2026
0
81
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install clip-maker

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 clip-maker 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 Clip Maker?

Clip Maker is a specialized tool designed to streamline the video editing workflow for developers and content creators. By leveraging a cloud-based GPU pipeline, it allows users to upload raw recordings and receive professionally trimmed 1080p MP4 files in under 60 seconds. It handles the heavy lifting of video composition, transitions, and formatting, making it a powerhouse addition to the Openclaw Skills ecosystem.

The skill acts as a bridge between natural language instructions and complex video editing actions. Whether you need to cut a long recording into social-media-ready segments or apply transitions and text overlays, Clip Maker interprets your intent and executes the rendering via the Nemo Video API. It is built for speed, efficiency, and cross-platform compatibility, supporting a wide range of formats including MP4, MOV, and WebM.

Clip Maker Use Cases

  • Creating short, viral clips from long-form video recordings for social media.
  • Automating the trimming and transition process for batch video production.
  • Generating 1080p MP4 previews of raw footage for quick stakeholder reviews.
  • Adding text overlays, background music, and audio tracks via simple text commands.

How Clip Maker Works

  1. The user provides raw video footage via upload or URL to the Openclaw Skills interface.
  2. An anonymous or environment-based NEMO_TOKEN is validated to establish a secure cloud session.
  3. The user describes the desired edits (e.g., 'cut into three 60-second clips') which are sent via Server-Sent Events (SSE) to the processing engine.
  4. A cloud GPU node composites the video layers, applies H.264 compression, and manages the timeline state.
  5. The skill polls the rendering proxy until the status is marked as completed.
  6. A final 1080p download URL is generated for the user to export their polished video.

Clip Maker Setup

To get started with this Openclaw Skills component, ensure you have your API token ready.

# Set your environment variable
export NEMO_TOKEN="your_nemo_token_here"

# The skill will automatically initialize the session
# on the first interaction.

Clip Maker Data Schema & Taxonomy

Clip Maker organizes video projects using a session-based state management system. Below is the mapping for the internal draft data:

Field Description
t Tracks (The primary container for timeline layers)
tt Track Type (0: Video, 1: Audio, 7: Text)
sg Segments (Individual clips or items within a track)
d Duration (Represented in milliseconds)
m Metadata (Information regarding resolution and encoding)

Clip Maker Advanced Features

  • Multi-agent support for collaborative video editing workflows.
  • Iterative timeline tweaking where the session preserves state for refined editing.
  • Batch processing capabilities allowing multiple uploads and unique render instructions in a single session.
  • Intelligent intent classification to route natural language to specific API actions like credit checks or state queries.

SKILL.md


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