🔌

emerging-techniques

🔌Plugin

Orchestra-Research/AI-research-SKILLs

What it does

Emerging-techniques category of the AI Research Engineering Skills library — 6 skills covering Mixture-of-Experts training, Model Merging (TIES/DARE/SLERP via mergekit), Long Context (RoPE/YaRN/ALiBi), Speculative Decoding, Knowledge Distillation, and Model Pruning.

🏪

Part of

orchestra-research-ai-research-skills

Installation

Add marketplace in Claude Code:

/plugin marketplace add orchestra-research/AI-research-SKILLs

Step 2. Install plugin:

/plugin install emerging-techniques@ai-research-skills

10,425

Last UpdatedJun 16, 2026

View on GitHub Back to Plugins

More from this repository10

🔌

distributed-training🔌Plugin

Plugin

Plugin

A tokenization skill from the AI Research Engineering Skills Library, which offers 83 skills across 20 categories covering model architecture, fine-tuning, inference, and other AI research areas.

Plugin

Plugin

inference-serving🔌Plugin

Plugin

Plugin

Plugin

data-processing🔌Plugin

Plugin

🔌

ml-paper-writing🔌Plugin

AI research skill for writing publication-ready ML papers for top conferences (NeurIPS, ICML, ICLR, ACL, AAAI, COLM) with LaTeX templates and citation verification.