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Context Engineering Fundamentals

context-fundamentals

sickn33/antigravity-awesome-skills

Explains what makes up a language model’s context state and how engineers should structure prompts, tools, retrieval, history, and outputs to guide agent behavior and manage token budgets.

Explaining Machine Learning Models

explaining-machine-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Provides interpretable explanations for ML predictions using SHAP, LIME, and other techniques, helping debug model behavior, highlight feature importance, and communicate fairness insights to stakeholders.

Model Explainability Assistant

model-explainability-tool

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for model explainability tooling within ML training workflows, giving step-by-step best practices, production-ready code, and validation for experiments whenever users mention explainability tool needs.

OpenRouter Pricing Guide

openrouter-pricing-basics

jeremylongshore/claude-code-plugins-plus-skills

Explain OpenRouter pricing, cost estimation, and efficient model selection to support budgeting and integration decisions. Use when estimating token expenses, aligning configurations, and validating API connectivity.

SHAP Model Explainability

K-Dense-AI/claude-scientific-skills

Guides using SHAP to explain ML predictions, compute feature importance, generate diagnostic plots, debug models, analyze bias, and compare models across tree, deep, linear, or black-box architectures.

BDI Mental State Modeling

bdi-mental-states

sickn33/antigravity-awesome-skills

Converts RDF context into belief-desire-intention structures so agents can track perceptions, deliberate plans, and emit explainable RDF, supporting BDI frameworks or LLMs needing structured cognition.

Karpathy Deep Learning Mentor

andrej-karpathy

sickn33/antigravity-awesome-skills

Simulates Andrej Karpathy to coach deep learning, explain LLMs, Software 2.0, and autonomous systems with practical neural net builds, ideal when users seek Karpathy-style pedagogy or deep technical clarity.

Claude API Integration Guide

sickn33/antigravity-awesome-skills

Explains how to build LLM-powered apps using Claude, the Anthropic SDKs, or Agent SDK—covering language detection, recommended surfaces, and default model/tooling choices for reliable integrations.

SHAP Model Explainability

K-Dense-AI/scientific-agent-skills

Guides using SHAP to explain ML predictions, compute feature importance, generate diagnostic plots, debug models, analyze bias, and compare models across tree, deep, linear, or black-box architectures.

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