AIUnlimited
🌳

أسس الذكاء الاصطناعي

🌱
AI Seeds

Start from zero

🌿
AI Sprouts

Build foundations

🌳
AI Branches

Apply in practice

🏕️
AI Canopy

Go deep

🌲
AI Forest

Master AI

🔨

إتقان الذكاء الاصطناعي

✏️
AI Sketch

Start from zero

🪨
AI Chisel

Build foundations

⚒️
AI Craft

Apply in practice

💎
AI Polish

Go deep

🏆
AI Masterpiece

Master AI

📘

تطبيق الذكاء الاصطناعي

📖
فهم النماذج مفتوحة المصدر

أسس وموارد للنماذج مفتوحة المصدر

🎯
من المشكلة إلى مهمة النموذج

تحويل مشاكل الأعمال إلى مهام نموذجية

⚡
تشغيل نموذجك الأول

شاهد نتائجك الأولى في 30 دقيقة

🔧
التحسين الدقيق والتقييم

حسّن النماذج وقيّم الأداء

🚀
أنظمة التطبيقات

بناء تطبيقات ذكاء اصطناعي واقعية

🎨
الذكاء الاصطناعي التوليدي

استكشف نماذج AIGC مفتوحة المصدر

🤖
الوكيل

تعلم أطر عمل الوكيل وأدوات MCP

📐
أسس تكميلية

أساسيات LLM والتقييم

🎓

أكاديمية كلاود

🤖
Claude 101

Learn AI basics with Claude

💻
Claude Code 101

Code with Claude as your pair programmer

🤝
Introduction to Claude Cowork

Collaborate with Claude on complex projects

⚙️
Claude Platform 101

Build apps with the Claude API

المختبر

تم تحميل 7 تجارب
🧬ملعب الشبكة العصبية🤖ذكاء اصطناعي أم إنسان؟🥋دوجو التوجيهات🏁سباق الخوارزميات🧠مسابقة معلومات الذكاء الاصطناعي🏗️لوحة تصميم النظام
🎯مقابلة تجريبيةدخول المختبر→
🚀

التطوير المهني

🚀
منصة انطلاق المقابلات

ابدأ رحلتك

🌟
إتقان المقابلات السلوكية

أتقن المهارات الشخصية

💻
المقابلات التقنية

تفوّق في جولة البرمجة

🤖
مقابلات الذكاء الاصطناعي وتعلم الآلة

إتقان مقابلات تعلم الآلة

🏆
العرض وما بعده

احصل على أفضل عرض

ابدأ الآن
AIUnlimited

رخصة MIT

沪ICP备18025655号-11

تعلّم

  • أساسيات الذكاء الاصطناعي
  • تطبيق الذكاء الاصطناعي
  • أكاديمية كلاود
  • المختبر
  • التطوير المهني

المجتمع

  • عن المنصة
  • الأسئلة الشائعة

الدعم

  • footer.terms
  • footer.privacy
  • footer.contact
البرامج الأكاديمية للذكاء الاصطناعي والهندسة›⚙️ Claude Platform 101›الدروس›Skills
📚
Claude Platform 101 • متوسط⏱️ 6 دقيقة للقراءة

Skills

Skills

Skills are folders of instructions, scripts, and resources that Claude loads dynamically to improve performance on specialized tasks. At the core of every Skill is a SKILL.md file — a packaged set of instructions you upload once and then attach to any messages.create call. You're teaching Claude how you do something: your status report format, your review checklist, your release notes. Claude reads the Skill, follows the procedure, and produces output in your shape.

Skills vs. tools

It's worth being clear on the difference, because the two solve different problems:

  • Tools connect Claude to data and actions. "Look up this code section," "send this email" — Claude calls the tool, and something else runs.
  • Skills teach Claude a procedure. "Generate the daily status report following this template" — it's a playbook Claude reads and follows, which sometimes means running bundled scripts itself.

A simple way to remember it: tools are about what Claude can do, while Skills are about how you want it done.

One more thing worth knowing: Skills don't load fully into context on startup. Only the name and description load at first. When your agent decides a Skill is relevant, it then loads the full Skill into context. That keeps your context lean even when many Skills are available.

Uploading a Skill

Skills are uploaded once to your workspace, then referenced by ID. You can upload directly on the Claude Platform, or do it programmatically:

skill = client.skills.create(
    display_name="Status Report Generator",
    files=files_from_dir("status-report-skill"),  # folder containing SKILL.md
)

print(skill.id)  # reference this ID in future requests

For this example, I want a status report generator. All the rules for what makes a good status report — sections, tone, how to summarize, how to handle blockers — live in a Skill packaged ahead of time. The activity log itself is just a string passed in at request time.

Attaching a Skill to a request

Skills attach to a request through the container configuration — a skills array inside the container, where each entry names a skill_id and . Here's the full call for the status report generator:

الدرس 8 من 130٪ مكتمل
←Built-in Tools

مناقشة

تسجيل الدخول للانضمام إلى النقاش

version
response = client.messages.create(
    model="claude-opus-5",
    max_tokens=4096,
    container={
        "skills": [
            {
                "type": "custom",
                "skill_id": skill.id,
                "version": "latest",
            }
        ]
    },
    tools=[
        {
            "type": "code_execution_20250825",
            "name": "code_execution",
        }
    ],
    messages=[
        {
            "role": "user",
            "content": f"Generate the daily status report from this activity log:\n\n{activity_log}",
        }
    ],
)

A few things worth pointing out:

  • We're calling the standard client.messages.create, with no beta header. Skills are generally available on the Claude API, so the skills-2025-10-02 beta header is no longer required; requests that still send it continue to work unchanged.
  • container.skills is where the Skill attaches. It's a list, so you can layer multiple Skills onto one call.
  • Code execution is turned on here too. It's required: on the API, Skills run inside the code execution tool's container, which is what lets Skill procedures do real work — like running scripts in a terminal.

Running it

The output is a status report formatted exactly the way the Skill says to format it. Sections, tone, blocker handling — all of it comes from the SKILL.md file you uploaded. The user prompt is one line; the procedure lives in the Skill.

In a production app, this is how a team standardizes output across an entire feature. With this daily status report endpoint, every PM gets the same structure, the same tone, the same sections, in the same order — without anyone copy-pasting a template into a prompt.

Recap

  • Skills package your procedures. A SKILL.md file (plus any scripts and resources) teaches Claude how you want something done.
  • Tools vs. Skills: tools are about what Claude can do; Skills are about how you want it done.
  • Skills load progressively. Only the name and description load at startup; the full Skill loads into context when the agent decides to use it.
  • Upload once with client.skills.create, then attach with container.skills on any messages.create call — a list, so you can layer multiple Skills.
  • Pair with code execution when the Skill's procedure needs to do real work.
  • Reach for a Skill when the how matters as much as the what.