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ai-native-robotics
ai-native-robotics contains 11 collected skills from zeeshan080, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
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.
Provide lesson markdown templates for the AI-Native Robotics Textbook. Use when writing lessons, structuring educational content, or validating lesson format.
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.
Provide student-facing language rules for educational content. Use when writing lessons, checking language appropriateness, or validating content for students.
Validate code and configurations against the allowed technology stack per constitution. Use when writing platform code, selecting libraries, or checking framework compliance.
Technical terms to preserve in English when translating to Urdu. Use when translating robotics or AI content to Urdu while maintaining technical accuracy.
URDF structure templates and validation patterns for robotics content. Use when creating robot descriptions, validating URDF files, or teaching URDF concepts.