An AI-powered video generation skill that dynamically selects and executes the optimal dLazy CLI model based on user prompts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dlazy-zz-tmp-probe-0707
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install dlazy-zz-tmp-probe-0707 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 dlazy-video-generate?
The dlazy-video-generate skill provides a direct, scriptable interface to high-quality cloud-based video generation models right from your development workspace. By integrating this skill with your agent workflows, you can automatically route prompts to specialized video models without having to manually parse configurations or manage distinct APIs.
As part of the library of Openclaw Skills, this tool acts as a thin client for the dLazy service, ensuring that local resources are preserved while demanding video, image, and lip-sync operations are handled in the cloud.
dlazy-video-generate Use Cases
- Generating video clips from text prompts using optimal models like Kling V3, Veo 3.1, or ByteDance Seedance.
- Animating static images or transition sequences with precise first-frame and first/last-frame constraints.
- Synchronizing speaker lip movements to external audio tracks for dubbing, translation, or virtual presenter setups.
- Executing sequential video-to-video modifications by piping outputs between multiple generation steps.
How dlazy-video-generate Works
- The agent parses user intent (such as text-to-video, image animation, or lip-syncing) and extracts relevant parameters.
- The skill dynamically selects the best-suited dLazy model (e.g., Jimeng, Kling, PixVerse, or Sync) based on the input prompt.
- Local media files are uploaded to dLazy's secure storage, and generation requests are sent to the API endpoint.
- Output URLs and JSON metadata envelopes are returned, facilitating immediate consumption or pipeline piping.
dlazy-video-generate Setup
Ensure you have Node.js and npm installed, then set up the dLazy CLI globally:
npm install -g @dlazy/[email protected]
Alternatively, run commands on demand without persisting a global binary:
npx @dlazy/[email protected] <command>
Authentication
Run the device-code flow to automatically generate and save your credentials:
dlazy auth
Or set your API key manually if you already have one:
dlazy auth set YOUR_API_KEY
The configuration is saved securely to ~/.dlazy/config.json on macOS/Linux or %USERPROFILE%\.dlazy\config.json on Windows.
dlazy-video-generate Data Schema & Taxonomy
The skill relies on JSON envelopes returned via standard output, allowing structured data flow. The configuration is stored locally, while generation assets are hosted temporarily in the cloud.
CLI Configuration File (~/.dlazy/config.json)
| Property | Description |
|---|---|
apiEndpoints |
Target hostnames (api.dlazy.com, files.dlazy.com) |
apiKey |
Scoped API credentials associated with your dLazy organization |
filePermissions |
Restricted exclusively to the host operating system user account |
Pipeline Pipe Reference Spec
| Reference | Target Output |
|---|---|
- |
Natural upstream field value |
@N |
Primary value of the N-th output (e.g., @0 for first URL) |
@N.<jsonpath> |
Deep nested path selection within the N-th output |
@* |
Combined array of all output values |
@stdin |
Entire upstream JSON envelope |
dlazy-video-generate Advanced Features
- Dynamic Model Routing: Automatically matches prompts to optimal sub-models covering text-to-video, image-to-video, or reference-to-video formats.
- Multi-Step Piping: Directly feed stdout from one generation tool (like an image generator) into the video generator without manually extracting URLs.
- Robust Exception Flow: Built-in handlers for unauthorized access, missing inputs, and local file read failures, keeping automated workflows running cleanly.
- Integration Compatibility: Designed to work alongside other Openclaw Skills for complex, automated AI agent workflows.
SKILL.md
Loading
Related Openclaw Skills
Playbook Generator
A conversational utility that generates schema-compliant playbook YAML files for intelligent outbound call platforms through natural language.
Huawei Cloud OBS Bucket Creator
An automated workspace skill for validating, configuring, and provisioning Object Storage Service buckets on Huawei Cloud.
novel-master
An advanced engineering framework for generating publication-grade long-form Chinese novels using distributed character state machines and compressed narrative graphs.
Novel Bug Checker
An automated diagnostic utility designed to audit narrative text for logical loopholes, character inconsistency, and pacing issues.
Live Highlight Slicer
An automated live stream recording processing tool designed to detect highlight moments and slice them into short video clips.
Professional Naming Skill
A structured AI agent skill designed to generate multi-scenario names for individuals, brands, and companies with multi-turn risk assessment.
Featured*
