polars-backtest
Help users backtest trading strategies with polars-backtest library. Use when user asks about backtesting, portfolio simulation, trading strategy analysis, or working with polars-backtest.
ai-agent-basics
Master AI agent fundamentals - architectures, ReAct patterns, cognitive loops, and autonomous system design
agent-memory
Implement agent memory - short-term, long-term, semantic storage, and retrieval
agent-safety
Ensure agent safety - guardrails, content filtering, monitoring, and compliance
llm-integration
Integrate LLMs into applications - APIs, prompting, fine-tuning, and context management
multi-agent
Build multi-agent systems - orchestration, coordination, workflows, and distributed architectures
rag-systems
Build RAG systems - embeddings, vector stores, chunking, and retrieval optimization
tool-calling
Implement tool calling - function schemas, API integration, validation, and error handling
agent-frameworks
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
model-deployment
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
vector-databases
Vector database selection, indexing strategies, and semantic search optimization.
evaluation-metrics
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
fine-tuning
LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.
llm-basics
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
prompt-engineering
Prompt design, optimization, few-shot learning, and chain of thought techniques for LLM applications.
rag-systems
Retrieval Augmented Generation systems with vector search, document processing, and hybrid retrieval.
scaling-patterns
Enterprise scaling patterns for microservices, event-driven architecture, and distributed systems
backend-patterns
Production-grade backend patterns for Node.js, Python, Go, and Java/Spring frameworks
testing
API testing strategies and contract testing
api-architecture
REST, GraphQL, and hybrid API architecture patterns for building scalable and maintainable APIs
database-patterns
Database design, optimization, and caching strategies for SQL, NoSQL, and Redis
devops-patterns
Infrastructure, deployment, and operations patterns for Docker, Kubernetes, and CI/CD
documentation
API documentation with OpenAPI and developer portals
frontend-patterns
Frontend development and API integration patterns for React, TypeScript, and state management
graphql
GraphQL API design and schema development
rest
RESTful API design principles and best practices
security-patterns
Security architecture, authentication, authorization, and compliance patterns
versioning
API versioning strategies and backward compatibility
aws-iam-setup
Configure AWS IAM users, roles, policies, and identity federation
aws-cloudformation
Infrastructure as Code with CloudFormation templates and stacks
aws-codepipeline
Build automated CI/CD pipelines with CodePipeline and CodeBuild
aws-cost-optimization
Optimize AWS costs through resource rightsizing and savings strategies
aws-cloudwatch
Implement monitoring, alerting, and observability with CloudWatch
aws-ec2-deployment
Launch, configure, and manage EC2 instances with best practices
aws-ecs
Deploy and manage containerized applications on ECS/Fargate
aws-lambda-functions
Build optimized serverless functions with Lambda
aws-rds-setup
Deploy and configure RDS/Aurora databases with HA and security
aws-s3-management
Configure S3 buckets with security, lifecycle, and replication policies
aws-security-best-practices
Implement comprehensive AWS security controls and compliance
aws-vpc-design
Design and implement production-grade VPC architectures
process-management
Production-grade process management - jobs, signals, cron, systemd
text-processing
Production-grade text processing - grep, sed, awk, regex
bash-basics
Production-grade Bash fundamentals - syntax, variables, control flow, functions
file-operations
Production-grade file operations - permissions, find, archives, rsync
shell-automation
Production-grade shell automation - scripts, CI/CD, makefiles
shell-networking
Production-grade shell networking - curl, ssh, ports, debugging
shell-tools
Production-grade shell tools - jq, xargs, parallel, pipelines
data-visualization
Master data visualization principles including chart selection, dashboard design, color theory, and data storytelling
bi-fundamentals
Master Business Intelligence fundamentals including KPI design, metrics frameworks, data literacy, and analytical thinking
data-warehousing
Master dimensional data modeling including star schema design, slowly changing dimensions, fact tables, and data warehouse architecture
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