القائمة
Provide lesson markdown templates for the AI-Native Robotics Textbook. Use when writing lessons, structuring educational content, or validating lesson format.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Read and summarize constitution principles for the AI-Native Robotics Textbook project. Use when checking project rules, validating compliance, or understanding constraints.
Provide L1-L5 pedagogy layer reference for the AI-Native Robotics Textbook. Use when assigning layers to content, understanding layer requirements, or validating layer progression.
Design, implement, and debug a custom ChatKit backend in Python that powers the ChatKit UI without Agent Builder, using the OpenAI Agents SDK (and optionally Gemini via an OpenAI-compatible endpoint). Use this Skill whenever the user wants to run ChatKit on their own backend, connect it to agents, or integrate ChatKit with a Python web framework (FastAPI, Django, etc.).
Integrate and embed OpenAI ChatKit UI into TypeScript/JavaScript frontends (Next.js, React, or vanilla) using either hosted workflows or a custom backend (e.g. Python with the Agents SDK). Use this Skill whenever the user wants to add a ChatKit chat UI to a website or app, configure api.url, auth, domain keys, uploadStrategy, or debug blank/buggy ChatKit widgets.
ROS 2 node templates and message types for robotics development. Use when creating ROS 2 nodes, understanding message types, or writing publisher/subscriber patterns.
Robotics safety validation checklist for reviewing robot code and configurations. Use when reviewing URDF files, ROS 2 nodes, or any robotics content for safety issues.
| name | lesson-structure |
| description | Provide lesson markdown templates for the AI-Native Robotics Textbook. Use when writing lessons, structuring educational content, or validating lesson format. |
| allowed-tools | Read |
When creating lesson content:
Every lesson MUST include:
---
title: Lesson Title
layer: L1-L5
duration: 45-90 minutes
prerequisites:
- Prior lesson or concept
learning_objectives:
- Objective 1
- Objective 2
---
See template.md for the full lesson template.