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mjunaidca/robolearn

30 skills

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$npx skills add mjunaidca/robolearn
SkillInstalls
assessment-builderCreates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives with meaningful distractors based on…—better-auth-setupGuide implementation of OAuth 2.1 / OIDC authentication using Better Auth with the OIDC Provider plugin.—chatkit-integrationIntegrate OpenAI ChatKit framework with custom backend and AI agents.—concept-scaffoldingThis skill should be used when scaffolding complex concepts for learners.—docusaurus-conventionsDocusaurus file naming, syntax, and structure conventions for RoboLearn platform—docusaurus-deployerThis skill should be used when deploying a Docusaurus site to GitHub Pages.—frontend-designgazebo-world-builderDesign simulation worlds using SDF with ground planes, models, physics configuration, and lighting—image-generatorThis skill should be used when generating images for educational content.—learning-objectivesGenerate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content.—lesson-generatorGenerate lesson content following 4-Layer Teaching Framework with standardized metadata and Docusaurus conventions—mcp-buildermermaid-diagramGenerate Mermaid diagrams for educational content. Use when visualizing concepts, architectures, or workflows.—notebooklm-slidesThis skill should be used when generating pedagogically-aligned slide decks from educational content using NotebookLM.—pyodide-exerciseCreate browser-based Python exercises using Pyodide. Use for interactive coding without local setup.—quiz-generatorALWAYS generate interactive quizzes using the Quiz component (50 comprehensive questions total).—rag-ingestion-pipelineVersion: 1.0.0 Category: Engineering / Platform Infrastructure Author: Harvested from RoboLearn backend implementation (2025-11-29)—rag-retrieval-serviceVersion: 1.0.0 Category: Engineering / Platform Infrastructure Author: Harvested from RoboLearn backend implementation (2025-11-29)—ros2-custom-interfacesGenerate ROS 2 custom message (.msg) and service (.srv) interface definitions for educational content.—ros2-gazebo-bridgeConfigure ros_gz_bridge to connect Gazebo topics with ROS 2 for closed-loop control—ros2-launch-systemGenerate ROS 2 Python launch files and multi-node system configurations for educational content.—ros2-publisher-subscriberGenerate ROS 2 publisher and subscriber code examples for educational content.—ros2-service-patternGenerate ROS 2 service server and client code examples for educational content.—sensor-simulationConfigure camera, LIDAR, IMU, and contact sensors on simulated robots in Gazebo—session-intelligence-harvesterThis skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components.—skill-creatorGuide 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…—summary-generatorThis skill should be used when generating lesson summaries for educational content.—urdf-robot-modelCreate robot models using URDF with proper links, joints, visual geometry, collision shapes, and physical properties—urdu-translatorTranslate educational content to Urdu while preserving technical accuracy. Use for multilingual content delivery.—visual-asset-workflowThis skill should be used when creating visual assets for educational content.—