higgsfield-soul-id
The higgsfield-soul-id skill trains a personalized face model for identity-faithful image and video generation. It manages the creation, status tracking, and listing of Soul characters that users reference in subsequent generation tasks.
Is higgsfield-soul-id safe to install?
Review the source first: our audit of higgsfield-soul-id's source files found 10 shell commands, 1 external URL, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands, performs network requests to install the CLI, and reads local image files for model training.
How we audit skills: our security review methodology.
Who is this skill for?
Users who want to generate images or videos featuring their own likeness using Higgsfield AI models.
What can you do with it?
- Create a digital twin or avatar
- Train a personalized face model for image generation
- Set up identity for cinematic video production
- Generate images featuring a specific person's face
How good is this skill?
Quality score: 9/10. The skill documentation is clear, provides specific CLI commands, and outlines necessary prerequisites like account status and photo requirements.
What does the skill file contain?
# Higgsfield Soul Character Train a face-faithful identity model. Reusable across all Soul-powered generations. ## Step 0 — Bootstrap Before any other command: 1. If `higgsfield` is not on `$PATH`, install it: ```bash curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh ``` 2. If `higgsfield account status` fails with `Session expired` / `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation. 3. Soul training requires a paid plan (Basic+). If `higgsfield account status` shows free plan, tell the user ...
Frequently asked questions
What is the requirement for training a Soul character?
Users must have a paid Higgsfield plan (Basic+) and provide 5 to 20 face photos with varied angles and lighting.
How do I use a trained Soul character in image generation?
Pass the reference ID returned during the training process to the higgsfield-generate command using the --soul-id flag.
What should I do if the training fails?
Verify the quality of the input photos, ensuring there are at least 5 unique, well-lit face images.
Related skills
find-skills
2.3MUsers seeking to extend agent capabilities with specialized tools, workflows, or knowledge packages
The find-skills skill enables agents to search for, discover, and install modular packages from the open agent skills ecosystem using the Skills CLI.
agent-browser
506.7KAI agents and developers requiring programmatic web interaction, exploratory testing, or automation of Electron desktop applications
The agent-browser CLI provides browser automation for AI agents using Chrome or Chromium via CDP. It supports page navigation, form interaction, data extraction, and testing. The tool utilizes accessibility-tree snapshots and element references for interaction.
azure-ai
429.4KDevelopers and AI agents requiring integration with Azure AI services for search, transcription, and synthesis tasks
The azure-ai skill provides tools for interacting with Azure AI services, including AI Search, Speech, OpenAI, and Document Intelligence. It supports search operations, speech-to-text, text-to-speech, and OCR through an MCP server interface.
image-to-video
355.0KDevelopers and users who need to automate video generation from images using the RunComfy platform
The image-to-video skill routes user requests to specific RunComfy animation models based on intent. It selects HappyHorse 1.0 I2V for general animation, Wan 2.7 for custom-voiceover lip-sync, or Seedance 2.0 Pro for multi-modal composition. The skill executes the RunComfy CLI to process inputs and download generated video files.