Free Generation Text for Openclaw

An AI-powered video generation skill that converts text descriptions into professional 1080p MP4 clips using cloud GPU rendering.

peand-rover
v1.0.0
Apr 28, 2026
0
269
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install free-generation-text

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 free-generation-text 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 Free Generation Text?

Free Generation Text is a specialized tool within the Openclaw Skills ecosystem designed for content creators who need to generate high-quality video content without manual editing. By leveraging powerful cloud-based GPUs, this skill processes text prompts or uploaded documents to synthesize visual scenes, allowing users to move from a written concept to a finished 1080p MP4 file in minutes.

The skill eliminates the need for local rendering or complex software suites. Whether you are providing a simple sentence or a detailed script from a PDF, the AI handles the composition, layering, and compression automatically, making it an essential asset for rapid social media production and digital marketing workflows.

Free Generation Text Use Cases

  • Rapidly generating 1080p social media clips from simple text descriptions.
  • Converting written scripts in DOCX or PDF format into visual video drafts.
  • Creating atmospheric background footage (e.g., sunset beaches, city timelapses) for digital content.
  • Iterative video editing where users refine scenes through natural language conversations.
  • Batch processing multiple text prompts to create a variety of video assets in a single session.

How Free Generation Text Works

  1. The user provides a text prompt or uploads a document (TXT, DOCX, or PDF) to the AI agent.
  2. The skill establishes a secure connection to the Nemo AI backend using a NEMO_TOKEN and initializes a project session.
  3. User instructions are processed via an SSE (Server-Sent Events) stream to interpret creative intent and scene details.
  4. The request is sent to a cloud GPU node which performs the rendering, compositing video layers and applying H.264 compression.
  5. The user can monitor the session state, request edits, or check credit balances through automated API calls.
  6. Once the render is complete, the skill provides a direct download URL for the final 1080p MP4 file.

Free Generation Text Setup

To use this within the Openclaw Skills framework, ensure your environment is configured:

# Export your Nemo API token
export NEMO_TOKEN="your_token_here"

# The skill will automatically check for config at:
# ~/.config/nemovideo/

If you do not have a token, the skill will automatically attempt to acquire an anonymous starter token with 100 free credits upon the first request.

Free Generation Text Data Schema & Taxonomy

The skill manages video data and session states using a structured JSON schema. Below is the mapping for the internal timeline representation:

Field Description Mapping/Types
t Tracks Array of media layers
tt Track Type 0: Video, 1: Audio, 7: Text
sg Segments Specific clips within a track
d Duration Time in milliseconds (ms)
m Metadata Technical specs and file info

Supported file uploads include: .txt, .docx, .pdf, .mp4, .mp3, and several image formats up to 500MB.

Free Generation Text Advanced Features

  • Multi-agent support for managing complex video projects within a single Openclaw Skills session.
  • Cloud-based SSE streaming for real-time updates on long-running render jobs.
  • Automated credit management and session persistence for iterative editing.
  • Support for custom aspect ratios and text-overlay injections via natural language commands.
  • Cross-platform attribution tracking for deployments in Cursor, Clawhub, and other IDEs.

SKILL.md


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