machine-learning
13
eval-recipes-runner
Run Microsoft's eval-recipes benchmarks to validate amplihack improvements against baseline agents. Auto-activates when testing improvements, running evals, or benchmarking changes.
rysweet
data-ai
sorting
stars
current ordering strategy
query
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machine-learning
13
ralph-multimodel
Ralph Wiggum persistence loop with intelligent multi-model routing (Gemini, Codex, Claude, Council)
DNYoussef
data-ai
machine-learning
12
agent-ml-engineer
Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.
Tony363
data-ai
machine-learning
12
model-development
Model-Development standards for model development in Ml Ai environments.
williamzujkowski
data-ai
machine-learning
12
agent-ai-engineer
Expert AI engineer specializing in AI system design, model implementation, and production deployment. Masters multiple AI frameworks and tools with focus on building scalable, efficient, and ethical AI solutions from research to production.
Tony363
data-ai
machine-learning
12
agent-llm-architect
Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building scalable, efficient, and safe LLM applications.
Tony363
data-ai
machine-learning
12
ai-engineer
Expert knowledge in AI/ML development, model deployment, and MLOps practices
tao12345666333
data-ai
machine-learning
12
agent-prompt-engineer
Expert prompt engineer specializing in designing, optimizing, and managing prompts for large language models. Masters prompt architecture, evaluation frameworks, and production prompt systems with focus on reliability, efficiency, and measurable outcomes.
Tony363
data-ai
machine-learning
12
agent-machine-learning-engineer
Expert ML engineer specializing in production model deployment, serving infrastructure, and scalable ML systems. Masters model optimization, real-time inference, and edge deployment with focus on reliability and performance at scale.
Tony363
data-ai
machine-learning
12
agent-nlp-engineer
Expert NLP engineer specializing in natural language processing, understanding, and generation. Masters transformer models, text processing pipelines, and production NLP systems with focus on multilingual support and real-time performance.
Tony363
data-ai
machine-learning
12
model-deployment
Model-Deployment standards for model deployment in Ml Ai environments.
williamzujkowski
data-ai
machine-learning
12
advanced-feature-engineering
生成適用於金融機器學習的高質量特徵。包含分數階差分 (Fractional Differentiation) 與無前視偏差的滾動標準化。
kofttlcc
data-ai
machine-learning
12
learned-skills-index
Index directory for automatically learned skills from execution feedback
Tony363
data-ai
machine-learning
12
agent-mlops-engineer
Expert MLOps engineer specializing in ML infrastructure, platform engineering, and operational excellence for machine learning systems. Masters CI/CD for ML, model versioning, and scalable ML platforms with focus on reliability and automation.
Tony363
data-ai
machine-learning
11
ml-inference-optimization
ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Use when optimizing inference performance, reducing model size, or deploying ML at the edge.
melodic-software
data-ai
machine-learning
11
llm-serving-patterns
LLM inference infrastructure, serving frameworks (vLLM, TGI, TensorRT-LLM), quantization techniques, batching strategies, and streaming response patterns. Use when designing LLM serving infrastructure, optimizing inference latency, or scaling LLM deployments.
melodic-software
data-ai
machine-learning
11
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.
lyndonkl
data-ai
machine-learning
11
model-selection
Choose appropriate model for custom agent tasks. Use when selecting between Haiku, Sonnet, and Opus for agents, optimizing cost vs quality tradeoffs, or matching model capability to task complexity.
melodic-software
data-ai
machine-learning
11
c4-documentation
C4 model architecture visualization and documentation
melodic-software
data-ai
machine-learning
11
evaluate-model
Measure model performance on test datasets. Use when assessing accuracy, precision, recall, and other metrics.
mvillmow
data-ai
machine-learning
11
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.
lyndonkl
data-ai