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huggingfacehuggingfaceOfficial·5 Agent Skills Included

context-course

Hands-on course for context engineering with code agents

Teaches context engineering for code agents through hands-on units covering skills, MCP servers, plugins, subagents, and hooks. Includes three real benchmark projects for pre-training, post-training, and local llama.cpp inference optimization. Removes guesswork by giving learners working agent configurations, experiment scripts, and reproducible benchmark workflows.
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npx skills add huggingface/context-course --all -g -y
Available:

Routes the agent to the correct project folder and enforces each project's experiment rules, benchmark workflow, and result-recording steps.

All Skills in This Repository (5)

Pure Emerald Level Indicators
📦 In Repo
huggingfacehuggingface

autolab-managed-experiment

Orchestrate a single Autolab benchmark experiment on Hugging Face Jobs with guarded steps and local result submission.

Official
Advanced
📦 In Repo
huggingfacehuggingface

hf-cli

Manage Hugging Face Hub repositories, models, datasets, and Spaces via CLI.

Official
Intermediate
📦 In Repo
huggingfacehuggingface

autolab-hermes-delegation

Orchestrate Hermes delegation workflows with enforced role contracts and controlled context propagation.

Official
Advanced
📦 In Repo
huggingfacehuggingface

autolab-reporter

Synchronize Autolab HF Jobs into Trackio and display live dashboards.

Official
Advanced
📦 In Repo
huggingfacehuggingface

huggingface-local-models

Locate and run Hugging Face GGUF models locally with llama.cpp.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install context-course?▼

Run `npx skills add huggingface/context-course --all -g -y` in your terminal to install all skills in this course globally.

What is context engineering for code agents?▼

It is the practice of giving code agents the right knowledge, tools, and structure so they perform tasks reliably. This course teaches it through skills, MCP servers, plugins, subagents, and hooks.

Does this course work with Claude Code and Codex?▼

Yes. The course follows Claude Code, Codex, and OpenCode as reference agents, and the concepts transfer to other coding assistants.

What projects are included in the course?▼

You get three hands-on projects: a pre-training benchmark, a post-training benchmark, and a local llama.cpp inference optimization lab, each with scripts and agent rules.

Do I need coding experience to take this course?▼

Basic familiarity with Python and the command line is enough. A free Hugging Face account and access to any code agent are the only other requirements.

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