llm-ai
0
chatkit-store-creator
This skill helps create ChatKit store implementations with database integration, following best practices and avoiding common errors we've solved in previous implementations.
syeda-hoorain-ali
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
0
ai-risk-assessment
Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.
AmnadTaowsoam
data-ai
llm-ai
0
create-audio
Generate audio from text using 13 TTS providers (local + cloud). Use when user wants to create audio files, convert text to speech, generate voiceovers, create audio with different voices, use voice cloning, multilingual TTS, or mentions /create-audio command. Supports Pocket TTS (CPU, 8 voices), MLX-Audio (Apple Silicon, 7 models, 50+ voices), ElevenLabs (cloud API, 32 languages, 10k+ voices), and Coqui TTS (open source, 4 models, voice cloning). Includes 32+ languages, voice cloning, speed control, and both local and cloud options.
imehr
data-ai
llm-ai
0
context-engineering-state
Current state of Claude's memory, context, and Skills architecture as of late 2025. LOAD THIS when discussing context engineering, Skills, userMemories, memory management, context portability across surfaces, or troubleshooting why context isn't loading. Contains experimental findings and observed behaviors NOT in training data.
randykerber
data-ai
llm-ai
0
troubleshooting-gpt-oss-and-vllm-errors
Use when diagnosing openai_harmony.HarmonyError or gpt-oss tool calling issues with vLLM. Identifies error sources (vLLM server vs client), maps specific error messages to known GitHub issues, and provides configuration fixes for tool calling problems with gpt-oss models.
bbrowning
data-ai
machine-learning
0
survival-models
Bayesian survival analysis models including exponential, Weibull, log-normal, and piecewise exponential hazard models with censoring support.
choxos
data-ai
machine-learning
0
finetuning
Model fine-tuning with PyTorch and HuggingFace Trainer. Covers dataset preparation, tokenization, training loops, TrainingArguments, SFTTrainer for instruction tuning, evaluation, and checkpoint management. Includes Unsloth recommendations.
atrawog
data-ai
machine-learning
0
embedding-models
Embedding model configurations and cost calculators
vanman2024
data-ai
machine-learning
0
experiment-tracking
Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics"
eyadsibai
data-ai
machine-learning
0
moai-domain-data-science
Production-grade data science specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master data processing, ML pipeline development, model deployment, and statistical analysis. Build end-to-end data science solutions with comprehensive experimentation and visualization.
jg-chalk-io
data-ai
machine-learning
0
tidymodels-overview
This skill should be used when working with R tidymodels packages, including when the user asks to "create a tidymodels workflow", "build a recipe", "tune a model", "use parsnip", "set up resampling", "create a workflow_set", "compare models", "stack models", or mentions tidymodels packages like recipes, parsnip, workflows, workflowsets, tune, rsample, yardstick, or stacks. Provides ecosystem context before package-specific skills.
jsperger
data-ai
machine-learning
0
evaluation-quality
Instrument evaluation metrics, quality scores, and feedback loops
nexus-labs-automation
data-ai
machine-learning
0
bugs-fundamentals
Foundational knowledge for writing BUGS/JAGS models including precision parameterization, declarative syntax, distributions, and R integration. Use when creating or reviewing BUGS/JAGS models.
choxos
data-ai
machine-learning
0
cv-strategy
Cross-validation configuration and fold management for this competition
NaoyaTakashima
data-ai
machine-learning
0
instance-resource-design
Guide for designing Instance resources in OptAIC. Use when creating DatasetInstance, SignalInstance, ExperimentInstance, ModelInstance, PortfolioOptimizerInstance, or BacktestInstance. Covers definition references, config patterns, composition, flow execution pairing, and scheduling.
colingwuyu
data-ai
machine-learning
0
unsloth-fft
Performing full fine-tuning (FFT) in Unsloth with 100% exact weight updates and optimized gradient checkpointing. Triggers include fft, full fine-tuning, full_finetuning, exact fine-tuning, and weight updates.
cuba6112
data-ai
machine-learning
0
moai-domain-ml
Enterprise Machine Learning specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master AutoML, neural architecture search, MLOps automation, and production ML deployment. Build scalable ML pipelines with comprehensive monitoring and experiment tracking.
jg-chalk-io
data-ai
machine-learning
0
scikit-learn
Use when "scikit-learn", "sklearn", "machine learning", "classification", "regression", "clustering", or asking about "train test split", "cross validation", "hyperparameter tuning", "ML pipeline", "random forest", "SVM", "preprocessing"
eyadsibai
data-ai
machine-learning
0
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
adebold
data-ai