Knowledge patches and plugins for Claude covering recent language and framework updates. Fills training data gaps.
200 skills
Feature engineering and serving library for Vowpal Wabbit machine learning workflows.
Plugin hotvect-hotvect from marketplace cascade-ai-ml-engineering in joshuarweaver/cascade-ai-ml-engineering. Commands read from the repo's manifest — 1 month ago.
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
Knowledge patches and plugins for Claude covering recent language and framework updates. Fills training data gaps.
200 skills
Guidance on building Retrieval-Augmented Generation systems that combine large language models with document retrieval. Enables AI agents to reference external knowledge bases and provide grounded responses.
184 skills
Token efficiency optimization techniques and utilities for Claude. Helps reduce token consumption in AI workflows.
33 skills · 76 commands
Mental health and wellness analysis tool that identifies psychological patterns, assesses health status, and provides personalized recommendations integrated with sleep, exercise, and nutrition data.
19 skills · 59 commands
PUA is a framework for building and managing AI agent prompts and behaviors. Supports multilingual prompt engineering and agent configuration.
29 skills · 22 commands · 7 agents · hooks
Integrates Gemini image processing with Claude for visual analysis and generation tasks. Enables multimodal image workflows.
50 skills · 6 commands
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.
1 skill · 3 commands · 1 agent
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
Operator-grade Mistral skill pack with 24 current API, security, reliability, governance, and migration workflows
24 skills
Expert AI assistant for Apache Hamilton framework development - create DAGs, apply decorators, debug dataflows, and optimize pipelines
7 skills
View, search, download, and read academic papers from arXiv. Supports API queries, web scraping via Actionbook, and HTML paper reading via ar5iv.
1 skill · 10 commands · 5 agents · 1 MCP server
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