context-course/pr_2/en/_app/immutable/nodes/9.c4ddc8f1.js

import{s as il,n as nl,o as sl}from"../chunks/scheduler.b8c17244.js";import{S as al,i as ol,e as a,s as n,c as r,h as pl,a as o,d as l,b as s,f as el,g as m,j as p,k as ll,l as rl,m as i,n as u,t as d,o as h,p as c}from"../chunks/index.d374165a.js";import{C as ml,H as M,E as ul}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.200f62db.js";import{C as ft}from"../chunks/CodeBlock.1a49eeaf.js";function dl(Te){let f,gt,Mt,Tt,w,bt,g,yt,T,be="This lesson looks at skills in more depth: what they are, what problems they solve, and how they compare to prompts.",$t,b,xt,y,ye="Imagine you’re working on the Hugging Face Hub and ask your code agent:",vt,$,$e="<p>“Train a model on this dataset and publish it when done.”</p>",kt,x,xe="Without proper context, your agent might:",Ct,v,ve="<strong>Failure 1: Authentication Issues</strong>",Ut,k,Jt,C,ke="The agent knows authentication is needed but not how to set it up in <em>your</em> specific environment.",jt,U,Ce="<strong>Failure 2: Incorrect Configuration</strong>",Lt,J,Bt,j,Ue="The agent doesn’t know your dataset format or how to convert it.",It,L,Je="<strong>Failure 3: Missing Best Practices</strong>",Ht,B,St,I,je="The model is uploaded, but missing:",Wt,H,Le="<li>README documentation</li> <li>Model card with training details</li> <li>License information</li> <li>Example usage code</li>",Ft,S,Be="These failures happen because the agent lacks <strong>domain knowledge</strong>. It knows how to write code, but not the specifics of your workflow, tools, or best practices.",Gt,W,Et,F,Ie="A <strong>skill</strong> packages domain-specific knowledge in a structured, reusable format that agents can automatically discover and use.",Zt,G,He="A skill can include:",_t,E,Se="<li>Metadata that helps agents decide when to use it</li> <li>Step-by-step instructions for completing a task</li> <li>Helper scripts that automate common operations</li> <li>Links to documentation and example code</li> <li>Troubleshooting guides for common problems</li>",Pt,Z,We="For example, with a dataset publishing skill, the same agent would:",Nt,_,Fe="<li>Automatically discover the skill when you mention publishing</li> <li>Load authentication instructions and validation scripts</li> <li>Reference best practices without being prompted</li> <li>Execute the task reliably and completely</li>",Rt,P,Vt,N,At,R,Ge="You might try to solve this with a detailed prompt:",Yt,V,zt,A,Ee="<strong>Problems with prompt-based context:</strong>",Qt,Y,Ze="<li>Not reusable: You paste this into every conversation</li> <li>Not shareable: Team members must copy-paste independently</li> <li>Not maintainable: Update once, update everywhere</li> <li>Not discoverable: How do other teams find this knowledge?</li> <li>Not composable: Hard to combine multiple domains</li> <li>Not versioned: No way to track changes or roll back</li>",Xt,z,Kt,Q,_e="A <strong>skill</strong> packages the same knowledge in a structured and reusable format. It follows a consistent directory structure and contains a single SKILL.md file with metadata and instructions.",qt,X,Pe="In short, the structure is:",Dt,K,Ne="<li><strong>File structure</strong>: skill-name/ directory with SKILL.md, scripts/, references/</li> <li><strong>Metadata format</strong>: YAML frontmatter with name, description, triggers, etc.</li> <li><strong>Discovery protocol</strong>: How agents find and load skills automatically</li> <li><strong>Compatibility guarantees</strong>: What agents need to implement to support skills</li>",Ot,q,Re="Think of it like a package.json for skills. It ensures compatibility and enables tooling.",te,D,Ve="The directory structure is:",ee,O,le,tt,Ae="The SKILL.md file contains the metadata like name, description, and version, and the instructions:",ie,et,ne,lt,Ye="<strong>Benefits of skill-based context:</strong>",se,it,ze="<li>Reusable across projects and teams</li> <li>Shareable through local repos, team registries, and version control</li> <li>Maintainable in one place with version control</li> <li>Composable with other skills</li> <li>Automatically loaded by compliant agents</li> <li>Follows an open standard (Agent Skills Spec)</li>",ae,nt,oe,st,Qe="Here’s how the skill loading process works in practice:",pe,at,Xe='<img src="https://huggingface.co/datasets/mcp-course/images/resolve/main/unit1/skill-loading-process.svg" alt="Skill loading process from user request through discovery, activation, execution, and feedback"/>',re,ot,Ke="This happens automatically and transparently—users don’t need to manually activate skills. Agents discover and load them based on task context.",me,pt,ue,rt,qe="Here are skills commonly shared in the Hugging Face skills repository:",de,mt,De='<thead><tr><th>Skill</th> <th>Description</th></tr></thead> <tbody><tr><td><a href="https://github.com/huggingface/skills/tree/main/skills/huggingface-papers" rel="nofollow">Scientific Paper Review</a></td> <td>Discovers scientific papers</td></tr> <tr><td><a href="https://github.com/huggingface/skills/tree/main/skills/huggingface-llm-trainer" rel="nofollow">model-training</a></td> <td>Train models using TRL and popular frameworks</td></tr> <tr><td><a href="https://github.com/huggingface/skills/tree/main/skills/huggingface-gradio" rel="nofollow">gradio-ui-builder</a></td> <td>Build interactive web interfaces for models</td></tr></tbody>',he,ut,Oe="Each skill encodes domain expertise that would take hours to learn from documentation, and makes agents immediately expert in that domain.",ce,dt,fe,ht,tl="Next, we look at the SKILL.md format itself.",Me,ct,we,wt,ge;return w=new ml({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),g=new M({props:{title:"What Are Agent Skills?",local:"what-are-agent-skills",headingTag:"h1"}}),b=new M({props:{title:"The Problem: Agents Without Context",local:"the-problem-agents-without-context",headingTag:"h2"}}),k=new ft({props:{code:"RXJyb3IlM0ElMjBVbmFibGUlMjB0byUyMGF1dGhlbnRpY2F0ZSUyMHdpdGglMjBIdWdnaW5nJTIwRmFjZSUyMEh1YiUwQUhpbnQlM0ElMjBTZXQlMjB5b3VyJTIwSEZfVE9LRU4lMjBlbnZpcm9ubWVudCUyMHZhcmlhYmxl",highlighted:`<span class="hljs-keyword">Error: </span>Unable to authenticate with Hugging Face Hub
Hint: Set your HF_TOKEN environment variable`,wrap:!1}}),J=new ft({props:{code:"VmFsdWVFcnJvciUzQSUyMERhdGFzZXQlMjBmb3JtYXQlMjBub3QlMjByZWNvZ25pemVkJTBBRXhwZWN0ZWQlM0ElMjBwYXJxdWV0JTJDJTIwY3N2JTJDJTIwb3IlMjBhcnJvdyUwQUdvdCUzQSUyMC5ucHklMjBmaWxlcw==",highlighted:`<span class="hljs-symbol">ValueError:</span> Dataset format not recognized
<span class="hljs-symbol">Expected:</span> parquet, csv, <span class="hljs-keyword">or</span> arrow
<span class="hljs-symbol">Got:</span> .npy files`,wrap:!1}}),B=new ft({props:{code:"TW9kZWwlMjB1cGxvYWRlZCUyMHN1Y2Nlc3NmdWxseSE=",highlighted:"Model uploaded successfully!",wrap:!1}}),W=new M({props:{title:"Skills: The Solution",local:"skills-the-solution",headingTag:"h2"}}),P=new M({props:{title:"From Prompts to Portable Knowledge",local:"from-prompts-to-portable-knowledge",headingTag:"h2"}}),N=new M({props:{title:"The Traditional Approach: Prompt-Based Context",local:"the-traditional-approach-prompt-based-context",headingTag:"h3"}}),V=new ft({props:{code:"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",highlighted:`You are a Hugging Face expert. When publishing <span class="hljs-keyword">models</span>:
<span class="hljs-number">1.</span> First authenticate with HF_TOKEN environment <span class="hljs-keyword">variable</span>
2. Validate <span class="hljs-comment">that the dataset is in CSV format with columns:</span> 
   - text <span class="hljs-comment">(string)</span>
   - label <span class="hljs-comment">(categorical)</span>
   - split <span class="hljs-comment">(train</span>/val/<span class="hljs-comment">test)</span>
3. Train <span class="hljs-comment">using these hyperparameters:</span>
   - learning_rate: 2e-5
   - batch_size: 32
   - epochs: 3
4. After <span class="hljs-comment">training, create model card with:</span>
   - Training <span class="hljs-comment">data description</span>
   - Model <span class="hljs-comment">performance metrics</span>
   - Example <span class="hljs-comment">usage</span>
   - License <span class="hljs-comment">(CC-BY-4.0)</span>
5. Push <span class="hljs-comment">to hub with correct organization...</span>

[This <span class="hljs-comment">continues for hundreds of lines]</span>`,wrap:!1}}),z=new M({props:{title:"The Skill-Based Approach: Structured, Portable Knowledge",local:"the-skill-based-approach-structured-portable-knowledge",headingTag:"h3"}}),O=new ft({props:{code:"c2tpbGwtbmFtZSUyRiUwQSVFMiU5NCU5QyVFMiU5NCU4MCVFMiU5NCU4MCUyMFNLSUxMLm1kJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIzJTIwUmVxdWlyZWQlM0ElMjBtZXRhZGF0YSUyMCUyQiUyMGluc3RydWN0aW9ucw==",highlighted:`skill-name/
├── SKILL.md              <span class="hljs-meta"># Required: metadata + instructions</span>`,wrap:!1}}),et=new ft({props:{code:"LS0tJTBBbmFtZSUzQSUyMCUyMmh1Z2dpbmdmYWNlLW1vZGVsLXB1Ymxpc2hpbmclMjIlMEFkZXNjcmlwdGlvbiUzQSUyMCUyMlB1Ymxpc2glMjBtb2RlbHMlMjB0byUyMEh1Z2dpbmclMjBGYWNlJTIwSHViLiUyMFVzZSUyMHdoZW4lMjB1cGxvYWRpbmclMjBtb2RlbHMlMkMlMjBjcmVhdGluZyUyMG1vZGVsJTIwY2FyZHMlMkMlMjBvciUyMG1hbmFnaW5nJTIwbW9kZWwlMjB2ZXJzaW9ucy4lMjIlMEEtLS0lMEElMjMlMjBIdWdnaW5nJTIwRmFjZSUyME1vZGVsJTIwUHVibGlzaGluZyUyMFNraWxsJTBBJTBBLi4u",highlighted:`---
name: &quot;huggingface-model-publishing&quot;
<span class="hljs-section">description: &quot;Publish models to Hugging Face Hub. Use when uploading models, creating model cards, or managing model versions.&quot;
---</span>
<span class="hljs-section"># Hugging Face Model Publishing Skill</span>

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