Buckets:
| import{s as De,o as Ke,n as Ce}from"../chunks/scheduler.4048030c.js";import{S as Ve,i as Qe,e as p,s as o,c as C,h as Xe,a as u,d as e,b as s,f as Ze,g,j as x,k as ce,l as tn,m as l,n as w,t as v,o as b,p as T}from"../chunks/index.5d0b9360.js";import{C as en,H as _,E as nn}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.9a03e56b.js";import{C as Tt}from"../chunks/CodeBlock.249eb434.js";import{H as ln,a as he}from"../chunks/HfOption.0fd5270b.js";function on(H){let a,M="Claude Code is Anthropic’s official code agent, accessible via the web, desktop app, or CLI.",c,f,d,m,y='<strong>Getting started</strong>: Visit <a href="https://claude.ai/code" rel="nofollow">claude.ai/code</a> to use Claude Code on the web, or install the CLI above and run <code>claude</code> in any project directory. You’ll be prompted to sign in on first use.',h;return f=new Tt({props:{code:"Y3VybCUyMC1mc1NMJTIwaHR0cHMlM0ElMkYlMkZjbGF1ZGUuYWklMkZpbnN0YWxsLnNoJTIwJTdDJTIwYmFzaA==",highlighted:"curl -fsSL https://claude.ai/install.sh | bash",lang:"bash",wrap:!1}}),{c(){a=p("p"),a.textContent=M,c=o(),C(f.$$.fragment),d=o(),m=p("p"),m.innerHTML=y},l(i){a=u(i,"P",{"data-svelte-h":!0}),g(a)!=="svelte-1euc0at"&&(a.textContent=M),c=s(i),x(f.$$.fragment,i),d=s(i),m=u(i,"P",{"data-svelte-h":!0}),g(m)!=="svelte-5pl3yj"&&(m.innerHTML=y)},m(i,r){l(i,a,r),l(i,c,r),w(f,i,r),l(i,d,r),l(i,m,r),h=!0},p:Ce,i(i){h||(v(f.$$.fragment,i),h=!0)},o(i){b(f.$$.fragment,i),h=!1},d(i){i&&(e(a),e(c),e(d),e(m)),T(f,i)}}}function sn(H){let a,M="Codex is OpenAI’s code agent with multi-agent capabilities.",c,f,d,m,y="<strong>Getting started</strong>: Run <code>codex</code> and select <strong>Sign in with ChatGPT</strong> to authenticate with a paid ChatGPT plan (Plus, Pro, Business, Edu, or Enterprise), or use an OpenAI API key.",h;return f=new Tt({props:{code:"bnBtJTIwaW5zdGFsbCUyMC1nJTIwJTQwb3BlbmFpJTJGY29kZXg=",highlighted:"npm install -g @openai/codex",lang:"bash",wrap:!1}}),{c(){a=p("p"),a.textContent=M,c=o(),C(f.$$.fragment),d=o(),m=p("p"),m.innerHTML=y},l(i){a=u(i,"P",{"data-svelte-h":!0}),g(a)!=="svelte-2wcjp4"&&(a.textContent=M),c=s(i),x(f.$$.fragment,i),d=s(i),m=u(i,"P",{"data-svelte-h":!0}),g(m)!=="svelte-ctu19x"&&(m.innerHTML=y)},m(i,r){l(i,a,r),l(i,c,r),w(f,i,r),l(i,d,r),l(i,m,r),h=!0},p:Ce,i(i){h||(v(f.$$.fragment,i),h=!0)},o(i){b(f.$$.fragment,i),h=!1},d(i){i&&(e(a),e(c),e(d),e(m)),T(f,i)}}}function an(H){let a,M='OpenCode is an open source code agent from <a href="https://opencode.ai" rel="nofollow">opencode.ai</a>:',c,f,d,m,y="Or via npm:",h,i,r,k,L="<strong>Getting started</strong>: Run <code>opencode</code> in any project directory. 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Good context means fewer wrong turns, cleaner diffs, and less rework.",Mt,B,we="Across six units you’ll build portable skills, wire up tools through the Model Context Protocol (MCP), package those pieces into plugins, coordinate sub-agents for larger tasks, and study how a minimal agent loop actually works under the hood.",Pt,Y,_t,q,ve="This course is structured into 6 core units:",kt,E,be="<thead><tr><th>Unit</th> <th>Topic</th> <th>What You’ll Learn</th></tr></thead> <tbody><tr><td><strong>Unit 0</strong></td> <td>Onboarding</td> <td>Course overview, tool setup, prerequisites</td></tr> <tr><td><strong>Unit 1</strong></td> <td>Agent Skills</td> <td>What skills are, how to build and share them, how agents load them</td></tr> <tr><td><strong>Unit 2</strong></td> <td>Model Context Protocol</td> <td>MCPs explained, connecting tools and APIs to agents</td></tr> <tr><td><strong>Unit 3</strong></td> <td>Plugins</td> <td>Building plugins, designing agent workflows</td></tr> <tr><td><strong>Unit 4</strong></td> <td>Sub-agents</td> <td>Spawning specialized agents, multi-agent patterns</td></tr> <tr><td><strong>Unit 5</strong></td> <td>Hooks</td> <td>Observing, blocking, and automating the agent lifecycle</td></tr> <tr><td><strong>Unit 6</strong></td> <td>Bonus: Nano Harness</td> <td>Building a minimal agent loop from scratch</td></tr></tbody>",Lt,O,Ht,W,Te='Before starting, you should be comfortable with Python basics (variables, functions, loops, and file I/O), able to navigate directories and run scripts from the command line, and have a Hugging Face account (<a href="https://huggingface.co" rel="nofollow">huggingface.co</a>). 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Context engineering is a practice-heavy skill, so build the examples rather than skimming them.",qt,N,Et,Z,_e="Each unit mixes conceptual material with runnable code, a hands-on project, and a short quiz.",Ot,D,Wt,K,ke="While we recommend following units in order, you can customize based on your needs:",Ft,V,Le="<li><strong>Just want skills?</strong> Start with Unit 1, revisit MCPs when needed</li> <li><strong>Building a plugin for your team?</strong> Start with Unit 3</li> <li><strong>Multi-agent systems?</strong> Begin with Unit 4, return to Unit 1-2 as reference</li> <li><strong>Following along with open source?</strong> All lessons include OpenCode examples alongside Claude Code and Codex</li>",Gt,Q,jt,X,He="This course offers two levels of certification:",Jt,tt,Rt,et,Ie="Demonstrates you understand core context engineering concepts. Pass the Unit 1–2 quizzes with 70% or higher to earn this certificate in 2–3 weeks. It’s shareable and displayed on your Hugging Face profile.",Nt,nt,Zt,it,Ue="Demonstrates mastery of context engineering across all domains. Pass all Unit 1–5 quizzes (70% or higher) and complete the capstone project to earn this certificate in 5–8 weeks. It’s displayed on your Hugging Face profile with a project showcase.",Dt,A,ze='<p>The capstone project will be announced in the course live stream. <a href="https://huggingface.co/organizations/context-course/share/BcsYJAxCofWDZncivkBzafSjAcuAxOMWua" rel="nofollow">Follow the Context Course org on Hugging Face</a> to get updates.</p>',Kt,lt,Ae="Both certificates verify your ability to build and maintain agent skills, connect external tools through MCPs, design multi-agent systems, and optimize context for maximum agent performance.",Vt,ot,Qt,st,Se="Every unit follows the same shape: an introduction, conceptual material, practical walkthroughs, a hands-on project, and a quiz. Starter templates and copy-pasteable code are provided throughout so you spend time on the ideas rather than on boilerplate.",Xt,at,te,rt,Be="<strong>Ben Burtenshaw</strong> — ML Engineer, Hugging Face",ee,pt,Ye="Ben focuses on LLM applications with emphasis on post-training and agentic approaches. He leads initiatives around agent best practices and context engineering at Hugging Face.",ne,ut,qe="<strong>Atin Kumar Singh</strong> — ML Researcher & Founding Engineer @ Data Pigeon",ie,ft,Ee="Atin’s research focuses on world models and robotics at the DARE Lab, UC Davis. He is a founding engineer at Data Pigeon, an AI-driven EV charging platform. His broader work spans applied ML and infrastructure for AI agents.",le,mt,Oe="<strong>Maya Nielan</strong>",oe,gt,We="Maya contributed to the Claude Code sections of this course.",se,$t,Fe="<strong>Ryan Whitehead</strong>",ae,dt,Ge="Ryan contributed to the Claude Code sections of this course.",re,ct,pe,ht,je="Learning is better together. 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