advanced-analytics
Advanced analytics including machine learning, predictive modeling, and big data techniques
dspy-bootstrap-fewshot
Auto-generate high-quality few-shot examples using teacher models in DSPy
machine-learning
Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.
computer-vision
Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.
nlp-processing
Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.
model-evaluation
Evaluates machine learning models for performance, fairness, and reliability using appropriate metrics and validation techniques. Trigger keywords: model evaluation, metrics, accuracy, precision, recall, F1, ROC, AUC, cross-validation, ML testing.
funsloth-runpod
Training manager for RunPod GPU instances - configure pods, launch training, monitor progress, retrieve checkpoints
funsloth-hfjobs
Training manager for Hugging Face Jobs - launch fine-tuning on HF cloud GPUs with optional WandB monitoring
contextual-pattern-learning
Advanced contextual pattern recognition with project fingerprinting, semantic similarity analysis, and cross-domain pattern matching for enhanced learning capabilities
pattern-learning
Enables autonomous pattern recognition, storage, and retrieval at project level with self-learning capabilities for continuous improvement
equivariant-architecture-designer
Use when you have validated symmetry groups and need to design neural network architecture that respects those symmetries. Invoke when user mentions equivariant layers, G-CNN, e3nn, steerable networks, building symmetry into model, or needs architecture recommendations for specific symmetry groups. Provides architecture patterns and implementation guidance.
model-equivariance-auditor
Use when you have implemented an equivariant model and need to verify it correctly respects the intended symmetries. Invoke when user mentions testing model equivariance, debugging symmetry bugs, verifying implementation correctness, checking if model is actually equivariant, or diagnosing why equivariant model isn't working. Provides verification tests and debugging guidance.
symmetry-discovery-questionnaire
Use when ML engineers need to identify symmetries in their data but don't know where to start. Invoke when user mentions data symmetry, invariance discovery, what transformations matter, or needs help recognizing patterns their model should respect. Works collaboratively through domain analysis, transformation testing, and physical constraint identification.
symmetry-validation-suite
Use when you need to empirically test whether hypothesized symmetries actually hold in your data or model. Invoke when user mentions testing invariance, validating equivariance, checking if symmetry assumptions are correct, debugging symmetry-related model failures, or needs data-driven validation before committing to equivariant architecture. Provides test protocols and metrics.
deal-momentum-analyzer
Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.
lora
Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specialized models from a single base.
PAI
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sf-ai-agentforce
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