GitHub
exploration-strategies
Master ε-greedy, UCB, curiosity-driven, RND, intrinsic motivation exploration
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tools machine learning AI Skills
Discover tools machine learning skills, compare source repositories and read the instructions for each workflow.
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GitHub
policy-gradient-methods
Master REINFORCE, PPO, TRPO - direct policy optimization with trust regions
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GitHub
rl-foundations
Master RL theory - MDPs, value functions, Bellman equations, value/policy iteration, TD
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GitHub
rl-evaluation
Rigorous RL evaluation - statistical protocols, train/test discipline, metrics, generalization
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GitHub
agent-architect
Design, optimize, and refactor AI agent systems based on Anthropic best practices and latest research. Guides you through architectural decisions with interactive questionnaire, loads current documentation, and...
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GitHub
ff-statistical-methods
Expert guidance on statistical analysis methodologies and Monte Carlo simulation for fantasy football. Use this skill when selecting regression approaches, designing simulations, performing variance analysis, o...
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GitHub
ff-ml-modeling
Expert guidance on machine learning and feature engineering for fantasy football player projection models. Use this skill when building predictive models, engineering features from player statistics, selecting...
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GitHub
atft-training
Run and monitor ATFT-GAT-FAN training loops, hyper-parameter sweeps, and safety modes on A100 GPUs.
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GitHub
reasoningbank-with-agentdb
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learnin...
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GitHub
ds-star
Multi-agent data science framework using DS-STAR (Data Science - Structured Thought and Action) architecture. Automates data analysis through collaborative AI agents with multi-model support (Haiku, Sonnet, Opu...
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GitHub
few-shot-learning-finance
Use when implementing models that learn from minimal data or need to adapt to new market regimes rapidly. Covers episodic learning, context sets, support and query sequences, zero-shot vs few-shot learning, met...
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GitHub
x-trend-architecture
Use when implementing X-Trend or attention-based trading models. Covers LSTM encoders, cross-attention, self-attention, sequence representations, entity embeddings, Variable Selection Networks, encoder-decoder...
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GitHub
data-analysis-helper
This skill provides tools and templates for analyzing datasets and generating insights.
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GitHub
insights
Business intelligence expert - creates actionable insights, visualizations, and executive reports from GabeDA model outputs. Identifies data gaps and recommends new features.
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GitHub
backtesting-analysis
Comprehensive guidance for interpreting backtest results and detecting overfitting (project)
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GitHub
nvidia-nemo
NVIDIA NeMo framework for building and training conversational AI models. Use for NeMo Retriever models, RAG (Retrieval-Augmented Generation), embedding models, enterprise search, and multilingual retrieval sys...
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GitHub
senior-prompt-engineer
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-though...
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GitHub
fullstack-ai-engineering
A comprehensive, long-horizon skill for designing, coding, debugging, and scaling AI-integrated systems — including Python backends, React frontends, RAG pipelines, vector databases, and tool orchestration. Ens...
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GitHub
llm-rankings
Comprehensive LLM model evaluation and ranking system. Use when users ask to compare language models, find the best model for a specific task, understand model capabilities, get pricing information, or need hel...
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GitHub
model-coordination
Use this skill when coordinating multiple AI models (Claude, GPT, Gemini, DeepSeek) for competitive trading analysis, running parallel model execution, aggregating decisions, or managing model performance track...
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GitHub
nvidia-nim
NVIDIA NIM (NVIDIA Inference Microservices) for deploying and managing AI models. Use for NIM microservices, model inference, API integration, and building AI applications with NVIDIA's inference infrastructure...
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GitHub
senior-computer-vision
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes...
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GitHub
trl
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling trai...
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GitHub
senior-ml-engineer
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructu...
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