mjunaidca-robolearn

Plugin mjunaidca-robolearn from marketplace cascade-code-languages-python in joshuarweaver/cascade-code-languages-python. Commands read from the repo's manifest — 1 month ago.

Skills (30)

• assessment-builder

  Creates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives with meaningful distractors based on common misconceptions. Activate when educators design quizzes, exams, or tests measuring understanding; need questions at appropriate cogniti

• better-auth-setup
• chatkit-integration

  Integrate OpenAI ChatKit framework with custom backend and AI agents. Handles ChatKit server implementation, React component integration, context injection, and conversation persistence.

• concept-scaffolding

  This skill should be used when scaffolding complex concepts for learners. It applies cognitive load architecture principles to break down concepts into digestible pieces while respecting learning science limits.

• docusaurus-conventions

  Docusaurus file naming, syntax, and structure conventions for RoboLearn platform

• docusaurus-deployer

  This skill should be used when deploying a Docusaurus site to GitHub Pages. It automates the configuration, building, and deployment process, handling GitHub Pages setup, environment configuration, and CI/CD automation. Includes local validation before GitHub Actions triggering.

• frontend-design

  Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

• gazebo-world-builder

  Design simulation worlds using SDF with ground planes, models, physics configuration, and lighting

• image-generator

  This skill should be used when generating images for educational content. It provides multi-turn reasoning partnership methodology with Gemini for professional quality visual generation.

• learning-objectives

  Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use this skill when educators need to define what students will achieve, create learning objectives for curriculum planning, or ensure objectives are specific and testable rather

• lesson-generator

  Generate lesson content following 4-Layer Teaching Framework with standardized metadata and Docusaurus conventions

• mcp-builder

  Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

• mermaid-diagram

  Generate Mermaid diagrams for educational content. Use when visualizing concepts, architectures, or workflows.

• notebooklm-slides

  This skill should be used when generating pedagogically-aligned slide decks from educational content using NotebookLM. It addresses the convergence toward generic, text-heavy slides by providing structured prompts that create engaging, proficiency-appropriate presentations aligned with specific educ

• pyodide-exercise

  Create browser-based Python exercises using Pyodide. Use for interactive coding without local setup.

• quiz-generator

  ALWAYS generate interactive quizzes using the Quiz component (50 comprehensive questions total). Generates 50 college-level conceptual questions with immediate feedback per question. Quiz component automatically displays 15-20 questions per batch, randomized each retake. Features: immediate feedback

• rag-ingestion-pipeline
• rag-retrieval-service
• ros2-custom-interfaces

  Generate ROS 2 custom message (.msg) and service (.srv) interface definitions for educational content. This skill should be used when creating lessons that teach interface design, writing exercises involving custom data types, or generating worked examples for robotics communication protocols.

• ros2-gazebo-bridge

  Configure ros_gz_bridge to connect Gazebo topics with ROS 2 for closed-loop control

• ros2-launch-system

  Generate ROS 2 Python launch files and multi-node system configurations for educational content. This skill should be used when creating lessons that teach launch file syntax, writing exercises involving multi-node startup, parameter configuration, or generating worked examples for robot system depl

• ros2-publisher-subscriber

  Generate ROS 2 publisher and subscriber code examples for educational content. This skill should be used when creating lessons that teach ROS 2 pub/sub patterns, writing exercises involving topic-based communication, or generating worked examples for rclpy nodes.

• ros2-service-pattern

  Generate ROS 2 service server and client code examples for educational content. This skill should be used when creating lessons that teach request/response communication, writing exercises involving services, or generating worked examples for synchronous robot commands.

• sensor-simulation

  Configure camera, LIDAR, IMU, and contact sensors on simulated robots in Gazebo

• session-intelligence-harvester

  This skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components. Use when corrections were made, format drift was fixed, new patterns emerged, or the user explicitly asks to "harvest learnings" or "capture s

• skill-creator

  Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

• summary-generator

  This skill should be used when generating lesson summaries for educational content. It extracts key concepts, mental models, patterns, and common mistakes from lesson markdown files using a Socratic extraction process. Use this skill when a lesson file needs a `.summary.md` companion file, or when r

• urdf-robot-model

  Create robot models using URDF with proper links, joints, visual geometry, collision shapes, and physical properties

• urdu-translator

  Translate educational content to Urdu while preserving technical accuracy. Use for multilingual content delivery.

• visual-asset-workflow

  This skill should be used when creating visual assets for educational content. It provides professional creative brief methodology to activate reasoning mode for distinctive, pedagogically effective visuals.

MCP servers (5)

• context7

  runs: npx -y @upstash/context7-mcp

• deepwiki

  connects to: https://mcp.deepwiki.com/mcp

• playwright

  runs: npx @playwright/mcp@latest

• better-auth

  connects to: https://mcp.chonkie.ai/better-auth/better-auth-builder/mcp

• next-devtools

  runs: npx next-devtools-mcp@latest

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