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
automated-testing
CI/CD integration and automation frameworks for continuous AI security testing
nft-development
Master NFT development with token standards, metadata, marketplaces, and on-chain art
smart-contract-security
Master smart contract security with auditing, vulnerability detection, and incident response
solidity-development
Master Solidity smart contract development with patterns, testing, and best practices
web3-frontend
Master Web3 frontend development with wallet integration, viem/wagmi, and dApp UX
rag-exploitation
Attack techniques for Retrieval-Augmented Generation systems including knowledge base poisoning
basic-workflow
Daily Git workflow - add, commit, push, pull cycle for everyday development
benchmark-datasets
Standard datasets and benchmarks for evaluating AI security, robustness, and safety
data-poisoning
Test AI training pipelines for data poisoning vulnerabilities and backdoor injection
distributed-systems
Production-grade distributed systems skill for consensus protocols, replication, partitioning, and consistency models
terraform-workspace
Terraform workspace management for multi-environment deployments
swift-combine
Master Combine framework for reactive programming - publishers, subscribers, operators, schedulers
security-practices
Master secure development, OWASP top 10, testing, and compliance. Use when building secure systems, conducting security reviews, or implementing best practices.
rust-performance
Master Rust performance - profiling, benchmarking, and optimization
redis-installation
Complete Redis installation guide for all platforms - Linux, macOS, Docker, and cloud deployments with configuration templates
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
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-security
Implement security best practices including secrets management, policy as code, and compliance scanning
interaction-design
Master interaction design - patterns, micro-interactions, user flows, affordances, feedback
terraform-kubernetes
Kubernetes cluster provisioning with Terraform across EKS, AKS, and GKE
spring-reactive
Build reactive applications - WebFlux, Mono/Flux, R2DBC, backpressure, reactive streams
postgresql-performance
Optimize PostgreSQL performance - EXPLAIN ANALYZE, indexing, query tuning
postgresql-fundamentals
Master PostgreSQL SQL fundamentals - data types, tables, constraints, schema design
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
requirements-specification
Master requirements gathering, user story writing, acceptance criteria definition, and scope management. Transform insights into clear, actionable specifications.
iac-skill
Infrastructure as Code with Terraform, Ansible, and CloudFormation.
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
user-research
User research methods, customer insight gathering, and problem validation for product discovery.
supervised-learning
Build production-ready classification and regression models with hyperparameter tuning
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