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gto-solver-integration
Integrate PioSolver data with the poker training system
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tools machine learning AI Skills
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fibonacci-optimization
Optimización evolutiva y paramétrica basada en Fibonacci y el Número Áureo (phi).
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GitHub
genetic-algorithms
Genetic Algorithms for AI optimization - EvoPrompt, hyperparameter tuning, evolutionary strategies.
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GitHub
ml-model-deployment
Serve models with A/B testing, monitoring, retraining.
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GitHub
ai-engineer
AI Engineer building LLM features with focus on reliability, evals, cost control, latency, and user trust.
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GitHub
ai-engineering-skill
Practical guide for building production ML systems based on Chip Huyen's AI Engineering book. Use when users ask about model evaluation, deployment strategies, monitoring, data pipelines, feature engineering, c...
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GitHub
replicate-handler
Integrate with Replicate AI for running models (image generation, LLMs, etc.).
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model-creator
Specialist in creating new knowledge models from scratch. Defines core classes, relationships, and taxonomies.
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GitHub
using-ultralytics
Expert system for Ultralytics YOLOv8/v9/v10. Provides documentation on training, detection, segmentation, and deployment.
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GitHub
status
Show Inference Confidenz current status and recent history
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GitHub
evaluating-models
Expert system for evaluating machine learning models. Automates the analysis of Confusion Matrices, PR Curves, and MLflow history comparison to provide objective, data-driven recommendations.
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GitHub
ml-antipattern-validator
Prevents 30+ critical AI/ML mistakes including data leakage, evaluation errors, training pitfalls, and deployment issues. Use when working with ML training, testing, model evaluation, or deployment.
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GitHub
docker-neural-memory
Build containerized neural memory that learns at test time using Titans/TTT architecture. Use when implementing learnable memory modules, test-time training systems, or MCP-connected memory services. Triggers o...
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GitHub
wos-lineup-compare
Run lineup recommendation comparisons between Claude and OpenAI. Validates the lineup engine, identifies improvement areas, and builds training data for future fine-tuning.
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GitHub
context-engineering-2026
Optimización de prompts mediante Primacy/Recency, higiene de contexto y compresión de tokens.
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GitHub
hugging-face-evaluation
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/...
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GitHub
help
Show Inference Confidenz help and documentation
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GitHub
using-mlflow
Provides MLflow documentation covering Tracking, Projects, Models, and Registry. Use when the user asks about MLflow features, APIs, implementation, or debugging.
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GitHub
configure
Configure Inference Confidenz settings
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GitHub
export-wizard
Master coordinator for model export. Guides the user through selecting the right format and initiating the process.
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GitHub
hugging-face-model-trainer
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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