⚙️
AI EngineeringTeX

DeepSpeed

by Orchestra-Research

DeepSpeed is an AI Engineering skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.

11.6K stars844 forkson Orchestra-Research/AI-Research-SKILLsAdded 2026/08/12+1% in starsRepository updated 2026/06/16
View source on GitHubDownload repo ZIP
aiai-researchclaudeclaude-codeclaude-skillscodexgeminigpt-5grpohuggingfacemachine-leanringmegatronskillsvllm
Install in seconds
Install DeepSpeed
Copy DeepSpeed into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/08-distributed-training/deepspeed ~/.claude/skills/deepspeed

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
08-distributed-training/deepspeed/SKILL.md in Orchestra-Research/AI-Research-SKILLs
Installs to
~/.claude/skills/deepspeed
Collection
One of 50 skills cataloged from this repository
Category
AI Engineering — 2451 skills

What DeepSpeed does

DeepSpeed provides guidance for distributed training with ZeRO optimization, pipeline parallelism, mixed precision, 1-bit Adam, and sparse attention. Use it when implementing, tuning, or debugging DeepSpeed-based training workflows.

DeepSpeed is cataloged under AI Engineering on DirSkills. DeepSpeed comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.

Frequently asked about DeepSpeed

  • What else does Orchestra-Research publish alongside DeepSpeed?

    DeepSpeed is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way DeepSpeed does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.

  • How does DeepSpeed compare to other AI Engineering skills?

    DeepSpeed ranks #330 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of DeepSpeed against them. Open each page to compare what they document and how they install.

More from Orchestra-Research/AI-Research-SKILLs

DeepSpeed is one of 50 skills cataloged on DirSkills from Orchestra-Research/AI-Research-SKILLs.

See all 50 skills →
⚙️
3w ago

AWQ Quantization

AWQ Quantization compresses large language models to 4-bit with activation-aware weight selection. Use it to deploy 7B-70B models on limited GPU memory while keeping accuracy loss low.
AI Engineering
11.6K844
🔬
2026/07/19

Autoresearch

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture for rapid experiment iteration and synthesis. Routes to domain-specific skills, supports continuous operation, and produces research presentations and papers.
AI Engineering
11.6K838
🧠
2026/07/19

Axolotl

Comprehensive guidance for fine-tuning LLMs using Axolotl, including YAML configuration, 100+ model support, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, and multimodal training.
AI Engineering
11.6K838
🧪
3w ago

BigCode Evaluation Harness

BigCode Evaluation Harness evaluates code generation models on HumanEval, MBPP, MultiPL-E, and other benchmarks with pass@k metrics. Use it to benchmark coding ability, compare models, and measure multi-language code generation quality.
Quality
11.6K844
🧮
3w ago

Bitsandbytes Model Quantization

Bitsandbytes Model Quantization loads LLMs in 8-bit or 4-bit to cut GPU memory use and fit larger models. Use it for Hugging Face Transformers inference, QLoRA fine-tuning, or 8-bit optimizers when VRAM is limited.
AI Engineering
11.6K844
🛡️
3w ago

Constitutional AI

Constitutional AI trains models with self-critique, revision, and AI feedback to reduce harmful outputs without human labels. Use it when you need safety alignment or a clear set of principles for model behavior.
AI Engineering
11.6K844

More AI Engineering skills

DeepSpeed is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #330 by stars among them.

Browse all AI Engineering skills →
📐
3w ago

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.
AI Engineering
239.8K36.4K
🤖
3w ago

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.
AI Engineering
239.8K36.4K
🤖
3w ago

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.
AI Engineering
239.8K36.4K