ClawHub AI & ML Skills

1,588 AI/ML Skills

48.3% of All Skills

35K+ Top Downloads

6 Subcategories

📍 Browse the Complete AI & ML Skills Catalog

For the full, searchable catalog of AI and machine learning skills with install instructions, ratings, and documentation, visit the official ClawHub registry:

Visit Official ClawHub Registry →

🤖

LLM Integration

Connect to large language model APIs for text generation, completion, and conversational AI capabilities.

Examples: API connectors, prompt management, response handling, streaming support, token optimization

🧠

Local Model Deployment

Run AI models locally for privacy-focused inference, custom fine-tuned models, and offline operation.

Examples: Model loading, inference optimization, quantization, hardware acceleration, model management

📊

Machine Learning Pipelines

Build and automate ML workflows including data preprocessing, training, evaluation, and deployment.

Examples: Data pipelines, model training, hyperparameter tuning, cross-validation, experiment tracking

🎨

Image & Vision

Computer vision and image processing tasks including classification, detection, segmentation, and generation.

Examples: Image classification, object detection, image generation, OCR, style transfer

🔊

Audio & Speech

Speech recognition, text-to-speech, audio processing, and voice-based AI interactions.

Examples: Speech-to-text, text-to-speech, voice cloning, audio transcription, speaker recognition

💾

Vector Databases & RAG

Vector storage, similarity search, and retrieval-augmented generation for knowledge-enhanced AI.

Examples: Embedding storage, semantic search, document retrieval, RAG pipelines, knowledge bases

Installation Examples

Get started with AI & ML skills using these simple commands:

# Search for AI/ML skills
openclaw skill search ai

# List installed AI skills
openclaw skill list --category ai

# Install a specific AI skill
openclaw skill install [skill-name]

Visit the official ClawHub registry to browse specific skills and get exact installation commands.

Popular Use Cases

Conversational AI and chatbot development
Document analysis and summarization
Code generation and assistance
Image generation and editing
Speech transcription and synthesis
Semantic search and knowledge retrieval
Sentiment analysis and classification
Custom model fine-tuning and deployment

Integration Categories

LLM Providers

Commercial API services
Open-source model platforms
Self-hosted inference servers

ML Frameworks

Deep learning frameworks
Model optimization tools
Training orchestration platforms

Vector Databases

Specialized vector stores
Hybrid search databases
Embedding management systems

AI Services

Vision and image APIs
Speech and audio services
NLP and text analysis tools

Best Practices

Monitor API usage and costs carefully
Implement proper rate limiting and error handling
Use local models for sensitive data when possible
Cache responses to reduce API calls
Validate and sanitize AI-generated outputs
Implement fallback strategies for API failures
Keep model versions documented and tracked
Test thoroughly before production deployment

⚠️ Security Notes

AI skills require careful security consideration:

Never send sensitive data to external AI services
Implement content filtering for user inputs
Validate AI outputs before using in production
Monitor for prompt injection attempts
Keep API keys secure and rotated regularly
Use local models for confidential information