Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
MuleRouter
Generates images and videos using MuleRouter or MuleRun multimodal APIs. Text-to-Image, Image-to-Image, Text-to-Video, Image-to-Video, video editing (VACE, k...
skill openclawclawhub Free
Generates images and videos using MuleRouter or MuleRun multimodal APIs. Text-to-Image, Image-to-Image, Text-to-Video, Image-to-Video, video editing (VACE, k...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, core/__init__.py, core/client.py, core/config.py, core/image.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.10
Provenance
- Publisher
- Misaka43fd
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
MuleRouter API
Generate images and videos using MuleRouter or MuleRun multimodal APIs.
Required Environment Variables
This skill requires the following environment variables to be set before use: VariableRequiredDescriptionMULEROUTER_API_KEYYesAPI key for authentication (get one here)MULEROUTER_BASE_URLYes*Custom API base URL (e.g., https://api.mulerouter.ai). Takes priority over SITE.MULEROUTER_SITEYes*API site: mulerouter or mulerun. Used if BASE_URL is not set. *At least one of MULEROUTER_BASE_URL or MULEROUTER_SITE must be set. The API key is included in Authorization: Bearer headers when making network calls to the configured API endpoint. If any of these variables are missing, the scripts will fail with a configuration error. Check the Configuration section below to set them up.
Configuration Check
Before running any commands, verify the environment is configured:
Step 1: Check for existing configuration
Run the built-in config check script: uv run python -c "from core.config import load_config; load_config(); print('Configuration OK')" If this prints "Configuration OK", skip to Step 3. If it raises a ValueError, proceed to Step 2.
Step 2: Configure if needed
If the variables above are not set, ask the user to provide their API key and preferred endpoint. Create a .env file in the skill's working directory: # Option 1: Use custom base URL (takes priority over SITE) MULEROUTER_BASE_URL=https://api.mulerouter.ai MULEROUTER_API_KEY=your-api-key # Option 2: Use site (if BASE_URL not set) # MULEROUTER_SITE=mulerun # MULEROUTER_API_KEY=your-api-key Note: MULEROUTER_BASE_URL takes priority over MULEROUTER_SITE. If both are set, MULEROUTER_BASE_URL is used. Note: The skill only loads variables prefixed with MULEROUTER_ from the .env file. Other variables in the file are ignored. Important: Do NOT use export shell commands to set credentials. Use a .env file or ensure the variables are already present in your shell environment before invoking the skill.
Step 3: Using uv to run scripts
The skill uses uv for dependency management and execution. Make sure uv is installed and available in your PATH. Run uv sync to install dependencies.
1. List available models
uv run python scripts/list_models.py
2. Check model parameters
uv run python models/alibaba/wan2.6-t2v/generation.py --list-params
3. Generate content
Text-to-Video: uv run python models/alibaba/wan2.6-t2v/generation.py --prompt "A cat walking through a garden" Text-to-Image: uv run python models/alibaba/wan2.6-t2i/generation.py --prompt "A serene mountain lake" Image-to-Video: uv run python models/alibaba/wan2.6-i2v/generation.py --prompt "Gentle zoom in" --image "https://example.com/photo.jpg" #remote image url uv run python models/alibaba/wan2.6-i2v/generation.py --prompt "Gentle zoom in" --image "/path/to/local/image.png" #local image path
Image Input
For image parameters (--image, --images, etc.), prefer local file paths over base64. # Preferred: local file path (auto-converted to base64) --image /tmp/photo.png --images ["/tmp/photo.png"] Local file paths are validated before reading: only files with recognized image extensions (.png, .jpg, .jpeg, .gif, .bmp, .webp, .tiff, .tif, .svg, .ico, .heic, .heif, .avif) are accepted. Paths pointing to sensitive system directories or non-image files are rejected. Valid image files are converted to base64 and sent to the API, avoiding command-line length limits that occur with raw base64 strings.
Workflow
Check configuration: verify MULEROUTER_API_KEY and either MULEROUTER_BASE_URL or MULEROUTER_SITE are set Install dependencies: run uv sync Run uv run python scripts/list_models.py to discover available models Run uv run python models/<path>/<action>.py --list-params to see parameters Execute with appropriate parameters Parse output URLs from results
Model Selection
When listing models, each model's tags (e.g., [SOTA]) are displayed by default next to its name. Tags help identify model characteristics at a glance โ for example, SOTA indicates a state-of-the-art model. You can also filter models by tag using --tag: uv run python scripts/list_models.py --tag SOTA If you are unsure which model to use, present the available options to the user and let them choose. Use the AskUserQuestion tool (or equivalent interactive prompt) to ask the user which model they prefer. For example, if the user asks to "generate an image" without specifying a model, list the relevant image generation models with their tags and descriptions, and ask the user to pick one.
Tips
For an image generation model, a suggested timeout is 5 minutes. For a video generation model, a suggested timeout is 15 minutes.
References
REFERENCE.md - API configuration and CLI options MODELS.md - Complete model specifications
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Scripts2 Docs
- SKILL.md
- README.md
- core/__init__.py
- core/client.py
- core/config.py
- core/image.py