10. Education & Learning

Guides new users through setting up their first project with Cursor AI, triggered by onboarding phrases like 'cursor hello world'.

Provides a minimal working example for testing and learning Deepgram's speech-to-text API integration patterns.

Delivers a minimal Vast.ai API example for beginners to test setup, learn integration patterns, and start GPU instance management.

Offers a minimal example for learning Customer.io basics, including SDK setup and initial messaging integration.

Offers a beginner's video generation example using Kling AI for initial learning and setup validation.

Explains agile sprint workflows, phases, lifecycle, and convergent development approach for team understanding.

Provides step-by-step guidance to resolve common Granola errors including recording, sync, transcription, and integration issues.

Guides on avoiding common Sentry configuration pitfalls for effective error tracking and monitoring.

Provides guidance on common pitfalls and mistakes when using the Cursor IDE, helping developers avoid errors and improve productivity.

Creates a minimal Juicebox example for beginners to test basic people search functionality and get started with the tool.

Offers a minimal code example for beginners to start using the FireCrawl API and understand its basic patterns.

Comprehensive guide for initializing or reorganizing agent memory, including setup instructions and effective memory block creation.

Analyzes session history to identify skill improvement opportunities, proactively suggesting refinements based on user feedback and interaction patterns.

Offers tutorials and educational resources for learning LLVM, Clang, and compiler development fundamentals.

Generates educational code explanation cards with syntax highlighting, Korean descriptions, and code examples for learning materials.

Delivers introductory tutorials and app structure guidance for new Makepad users.

Customizes system prompts for teaching, learning, and domain-specific workflows beyond software engineering.

Guides users in creating, understanding, and organizing reusable Skills to extend Claude's functionality through structured expertise packaging.

Teaches context-first prompting, iterative refinement, and validation techniques to optimize AI code assistant interactions for development tasks.

Provides intuitive mental models and analogies to help learners grasp Rust's ownership and borrow checker concepts, especially for those transitioning from other languages.

Strategic guide for effective open-source contribution, covering project selection, high-quality PR creation, and GitHub reputation building.

Guides systematic research and understanding of codebases, APIs, and technical concepts before making implementation changes.

Explains ev-node architecture, including block production, DA layer, sequencing, and censorship resistance for technical comprehension.

Step-by-step guide for creating and updating Claude skills to extend capabilities with specialized knowledge, workflows, and tool integrations.