time-series
ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.
blockchain-basics
Master blockchain fundamentals including consensus, cryptography, and distributed systems
defi-protocols
Master DeFi protocol development including AMMs, lending, yield, and oracles
ethereum-development
Master Ethereum development including EVM, gas optimization, and client interactions
nft-development
Master NFT development with token standards, metadata, marketplaces, and on-chain art
rag-exploitation
Attack techniques for Retrieval-Augmented Generation systems including knowledge base poisoning
data-poisoning
Test AI training pipelines for data poisoning vulnerabilities and backdoor injection
backend-technologies
Master backend development with Node.js, Python, Java, Go, Rust, API design, databases, and microservices. Use when building APIs, designing systems, or learning backend frameworks.
trait-generics
Master Rust traits, generics, and type system
spring-data-jpa
Master Spring Data JPA - repositories, queries, relationships, transactions, and performance
database-design
Production-grade database design skill for SQL/NoSQL selection, schema design, indexing, and query optimization
vue-nuxt
Master Nuxt.js - SSR, SSG, Nitro Server, Modules, Auto-imports, Deployment
vue-pinia
Master Pinia State Management - Stores, Actions, Getters, Plugins, Persistence
cost-optimization
Kubernetes cost management, resource optimization, and FinOps practices
gitops
Master GitOps practices, CI/CD integration, Helm charts, Kustomize, and ArgoCD. Learn modern deployment patterns and infrastructure as code.
redis-lists-sets
Master Redis Lists and Sets - queues, stacks, unique collections, set operations, and real-world implementation patterns
php-testing
PHP testing mastery - PHPUnit 11, Pest 3, TDD, mocking, and CI/CD integration
ownership-borrowing
Master Rust's ownership, borrowing, and lifetime system
redis-cluster
Master Redis Cluster - horizontal scaling, hash slots, resharding, cluster management, and distributed architecture
ui-design
Master UI design - visual design, design systems, components, typography, color theory
terraform-kubernetes
Kubernetes cluster provisioning with Terraform across EKS, AKS, and GKE
spring-reactive
Build reactive applications - WebFlux, Mono/Flux, R2DBC, backpressure, reactive streams
recursion
Recursive algorithms and divide-and-conquer strategies
strings
String algorithms and pattern matching techniques
mobile-ux
Master mobile UX - iOS HIG, Material Design, gestures, responsive design, platform optimization
prototyping
Master prototyping - Figma, wireframes, interactive prototypes, user testing, iteration
kotlin-compose
Jetpack Compose - composables, state, effects, theming
safety-guardrails
LLM safety guardrails and content moderation
computer-vision
Build computer vision solutions - image classification, object detection, and transfer learning
multi-modal
Multi-modal prompting with vision, audio, and document understanding
data-visualization
EDA, dashboards, Matplotlib, Seaborn, Plotly, and BI tools. Use for creating visualizations, exploratory analysis, or dashboards.
data-engineering
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
app-store
Master App Store deployment - Submission, TestFlight, CI/CD, release management
iac-skill
Infrastructure as Code with Terraform, Ansible, and CloudFormation.
excel
Advanced Excel and spreadsheet analytics techniques
data-analytics-foundations
Core data analytics concepts, Excel/Google Sheets fundamentals, and data collection techniques
monitoring-skill
Monitoring and observability with Prometheus, Grafana, ELK Stack, and distributed tracing.
observability
Distributed tracing with Jaeger, OpenTelemetry, and observability platforms for microservices insights
machine-learning
Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.
deep-learning
Build and train neural networks with PyTorch - MLPs, CNNs, and training best practices
prompt-evaluation
Prompt testing, metrics, and A/B testing frameworks
chain-of-thought
Step-by-step reasoning patterns for complex problem solving
supervised-learning
Build production-ready classification and regression models with hyperparameter tuning
cs-foundations
Master discrete mathematics, logic, formal proofs, and computational thinking. Build the mathematical foundation for all computer science.
docker-networking
Configure Docker networking for containers including bridge, overlay, and service discovery
graphql-schema-design
Design production-grade GraphQL schemas with best practices and patterns
python-analytics
Python data analysis with pandas, numpy, and analytics libraries
reporting
Automated reporting and business intelligence delivery
frameworks
TypeScript with popular frameworks like NestJS, React, and Next.js
frontend-technologies
Master modern web development with HTML, CSS, JavaScript, React, Vue, Angular, Next.js, TypeScript, and responsive design. Use when building web applications, optimizing UI performance, or learning frontend frameworks.
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