paulpas
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- ▌ Open Closed Principle · paulpasRefactors conditional branching and if/else chains into extensible polymorphic designs using strategy injection, factory registration, and protocol-based interfaces so new behavior extends without modifying existing source.
- ▌ Security Architecture · paulpasDesigns secure system architecture with threat modeling (STRIDE), defense-in-depth layers, zero-trust principles, and authentication patterns for production systems.
- ▌ Security Owasp Top 10 · paulpasProvides an in-depth analysis of the OWASP Top 10 vulnerabilities, along with strategies to mitigate them effectively in software applications.
- ▌ Service Mesh Patterns · paulpasImplements service mesh patterns including sidecar deployment, automatic mTLS encryption, canary and weighted traffic routing, fault injection for chaos testing, rate limiting, and distributed tracing across microservice architectures using Istio and Linkerd.
- ▌ Single Responsibility · paulpasDetects and refactors classes that violate the Single Responsibility Principle by splitting multi-purpose modules into focused components with clear responsibility boundaries.
- ▌ Skill Quality Metrics · paulpasScores SKILL.md files across seven dimensions (content depth, code quality, trigger design, structural completeness, constraint specificity, domain compliance, stub resistance) using a Python-based calculator for objective quality assessment.
- ▌ Software Architecture · paulpasEvaluates and designs software architecture using layered, hexagonal, and clean patterns to ensure scalability, maintainability, and separation of concerns.
- ▌ Websocket Performance · paulpasOptimizes WebSocket communication throughput and efficiency using binary protocols (MessagePack, Protobuf), per-message deflate compression (RFC 7692), message batching, and payload size reduction for high-frequency real-time systems.
- ▌ On Prem Infrastructure · paulpasEngineers on-premises infrastructure including IPMI/iLO/iDRAC remote management, PXE deployment, network storage (NFS/iSCSI/FC), multipath I/O, and datacenter physical operations for bare-metal Linux systems.
- ▌ Shell Command Chaining · paulpasImplements shell command chaining patterns using &&, ||, and ; operators for conditional execution, validation gates, fallback chains, and safe sequential workflows in bash scripts.
- ▌ Maker Safety Practices · paulpasImplements makerspace safety protocols with PPE selection by hazard type, machine-specific safe operating procedures (3D printers, laser cutters, CNC, soldering), and emergency response.
- ▌ Abl V10 Learning · paulpas"Reference guide for Progress OpenEdge ABL 10.1A (2005) — data types" variable declaration, procedures, functions, OOP basics, error handling, database access, transaction handling, control flow
- ▌ Abl V12 Learning · paulpas"Reference guide for Progress OpenEdge ABL 12.7 (2023) — v10→v12 migration" INT64, ENUM, VAR shorthand, CATCH/THROW/FINALLY, JSON support, generic collections, safe navigation operator, server-side joins
- ▌ AI Anomaly Detection · paulpas"Provides Detect anomalous market behavior, outliers, and potential market manipulation"
- ▌ AI LLM Orchestration · paulpas"Large Language Model orchestration for trading analysis with structured" output using instructor/pydantic
- ▌ AI Multi Asset Model · paulpas"Provides Model inter-asset relationships for portfolio and cross-asset strategies"
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- ▌ Order Flow Footprint · paulpasAnalyzes footprint charts, volume delta, cumulative delta, and bid-ask imbalances to detect aggressive buying/selling pressure and identify institutional order flow signatures.
- ▌ Paper Slippage Model · paulpas"Implements slippage modeling and execution simulation for risk management and algorithmic trading execution."
- ▌ Risk Kelly Criterion · paulpasCalculates optimal position sizing using Kelly Criterion and Fractional Kelly formulas to maximize geometric growth while controlling drawdown risk in algorithmic trading systems.
- ▌ Risk Position Sizing · paulpas"Calculating optimal position sizes using Kelly criterion, volatility" adjustments, and edge-based sizing to maximize long-term growth while managing risk
- ▌ Acceptance Orchestrator · paulpasImplements intelligent acceptance orchestrator with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Address Github Comments · paulpasImplements intelligent address github comments with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ AI Framework Comparison · paulpasEvaluates and compares AI agent frameworks (LangGraph, CrewAI, OpenAI Agents SDK, LlamaIndex, AutoGen) using weighted scoring matrices across architecture fit, ecosystem maturity, production readiness, cost, and latency dimensions.
- ▌ Apify Actor Development · paulpasImplements intelligent apify actor development with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Apify Audience Analysis · paulpasImplements intelligent apify audience analysis with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Apify Content Analytics · paulpasImplements intelligent apify content analytics with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ CI CD Pipeline Analyzer · paulpasImplements intelligent ci cd pipeline analyzer with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Cicd Pipeline Debugging · paulpasDebugging patterns for GitHub Actions, GitLab CI, Jenkins and other CI/CD systems including log analysis, runner issues, cache problems, and workflow optimization
- ▌ Coding Agent Frameworks · paulpasImplements autonomous coding agent frameworks (automated refactoring, test generation, deployment pipeline management) for AI-augmented software development with 30%+ code generation targets.
- ▌ Deep Research Workflows · paulpasOrchestrates iterative autonomous research workflows combining multi-query exploration, gap analysis, follow-up refinement, and structured synthesis within configurable time budgets.
- ▌ Goal Setting Monitoring · paulpasImplements goal-oriented agent architectures with objective definition, LLM-based success criteria evaluation, iterative progress tracking, and max-iteration bounded refinement loops for proactive autonomous systems.
- ▌ Google Drive Automation · paulpasImplements intelligent google drive automation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Instruction Engineering · paulpasCrafts precise, domain-specific instructions within SKILL.md files that reliably guide AI behavior through structured constraint blocks, few-shot examples, and explicit fallback routing for every decision branch.
- ▌ Langgraph State Machine · paulpasImplements LangGraph state machine architecture with typed state graphs, conditional routing, checkpoint-based persistence, and human-in-the-loop interrupt patterns for building deterministic AI agent workflows.
- ▌ Message Queue Debugging · paulpasDebugs Kafka, RabbitMQ, and SQS message queues with consumer lag analysis, dead letter handling, and message flow troubleshooting for distributed systems
- ▌ Network Troubleshooting · paulpasDiagnoses and resolves network connectivity issues including firewall rules, DNS resolution, load balancer configuration, container networking, VPN connectivity, and network policy debugging for Docker, Kubernetes, and cloud-native environments
- ▌ Postgresql Optimization · paulpasImplements intelligent postgresql optimization with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Query Intent Classifier · paulpasClassifies incoming natural language queries into intent archetypes (tactical, strategic, diagnostic, orchestration, educational, enforcement, generation) using keyword patterns, structural signals, and heuristics for accurate routing.
- ▌ Schema Inference Engine · paulpasImplements intelligent schema inference engine with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Argo CD Gitops Workflows · paulpasImplements GitOps deployment workflows using Argo CD — sync policies, ApplicationSets, app-of-apps bootstrapping, and resource pruning for automated Kubernetes deployment pipelines.
- ▌ Azure Container Registry · paulpas"Provides Stores and manages container images with integration to AKS and Azure services"
- ▌ Deployment Orchestration · paulpasOrchestrates complex multi-stage deployments with dependency management, sequencing rules, and failure handling across interconnected services.
- ▌ GCP Cloud Load Balancing · paulpas"Provides Distributes traffic across instances with automatic failover and health checking"
- ▌ Kubernetes Networkpolicy · paulpasImplements networking.k8s.io/v1 NetworkPolicy resources with ingress and egress rules, pod selector targeting, and network segmentation for microservice isolation.
- ▌ Kyverno Cleanup Policies · paulpasAutomates garbage collection of unused Kubernetes resources using Kyverno v2 ClusterCleanupPolicy and CleanupPolicy with cron scheduling and conditional deletion.
- ▌ The Update Framework Tuf · paulpas"The Update Framework (TUF) in Secure software update framework for protecting" software deliveries
- ▌ Architectural Patterns · paulpasProvides a thorough overview of software architectural patterns, including layers, microservices, event-driven architectures, and more.
- ▌ Component Architecture · paulpasDesigns reusable component architectures using compound components, headless UI patterns, render props, and composition over inheritance for maintainable, testable codebases.
- ▌ Crewai Agent Workflows · paulpasImplements CrewAI multi-agent collaboration patterns including role-based agents, task delegation, tool sharing, sequential and hierarchical workflows, and autonomous agent coordination for production AI applications.
- ▌ Data Intensive Systems · paulpasImplements data-intensive architecture patterns including stream processing, change data capture, lakehouse storage, event sourcing, and data mesh organizational design for high-throughput data systems.
- ▌ Datadog API Dashboards · paulpasCreates and manages dashboards in Datadog API using `datadog-api-client`, with a focus on template widget creation, layout management, and configuration best practices.
- ▌ Deduplication Patterns · paulpasApplies DRY-driven deduplication patterns (extract method, template method, strategy, factory, mixins, memoization, configuration consolidation) to eliminate copy-paste clones, boilerplate, and semantic duplication in codebases.
- ▌ Design For Testability · paulpasImplements Design For Testability patterns including dependency injection via Protocols, interface segregation with focused interfaces, pure function boundaries, and composition root factories to enable fast unit tests without infrastructure dependencies.
- ▌ Domain Driven Tactical · paulpasImplements tactical DDD patterns including Entities, Value Objects, Aggregates, Repositories, Domain Events, and Factories with Python dataclasses and strict invariant enforcement.
- ▌ Ds Community Detection · paulpas"Detects communities and clusters in graphs using modularity optimization spectral methods, and graph partitioning algorithms"
- ▌ Ds Experimental Design · paulpas"Provides Designs experiments using design of experiments (DOE), factorial designs, randomization, and blocking for efficient learning"
- ▌ Azure Functions · paulpasProvides Serverless computing with event-driven functions and automatic scaling
- ▌ Azure Key Vault · paulpas"Manages encryption keys, secrets, and certificates with access control" and auditing.
- ▌ Cloud Custodian · paulpas"Provides Cloud Custodian in Cloud-Native Engineering -/rules engine for cloud infrastructure management"
- ▌ GCP Autoscaling · paulpas"Provides Automatically scales compute resources based on metrics like CPU and custom signals"
- ▌ GCP Cloud Tasks · paulpas"Manages task queues for asynchronous job execution with retry policies" and rate limiting.
- ▌ Jakarta Testing · paulpasTests Jakarta EE applications using Arquillian, ShrinkWrap, container adapters (WildFly managed/remote, Weld embedded), JUnit 5 integration, and in-container CDI injection with real Java examples.
- ▌ Kubernetes Rbac · paulpasImplements rbac.authorization.k8s.io/v1 Role, ClusterRole, RoleBinding, and ClusterRoleBinding manifests with least privilege access control for Kubernetes resources.
- ▌ Amplitude API · paulpasImplements Amplitude analytics integration (event tracking, user profiles, identify API, cohort analysis, dashboard export) using amplitude-analytics Python SDK with event batching, user properties, group identify, revenue tracking, and Amplitude HTTP API v2 patterns.
- ▌ Anthropic API · paulpasIntegrates Anthropic Claude API (Messages API, Tool Use, MCP Connector, Computer Use, Batches) using the anthropic Python SDK with streaming and error handling.
- ▌ Anti Patterns · paulpasCatalogs and detects common software anti-patterns (god object, leaky abstraction, feature envy, shotgun surgery, cargo cult) to help developers recognize and refactor harmful code practices.
- ▌ Atlassian API · paulpasIntegrates with Atlassian suite (Jira, Confluence, Bitbucket, Rovo, Forge) using atlassian-python-api to automate issue tracking, documentation, and code management.
- ▌ Bash Tui Menu · paulpasImplements robust interactive Bash TUI menus with dialog widgets, safe selection handling, cancel paths, and non-interactive fallbacks.
- ▌ Bitbucket API · paulpasIntegrates with Bitbucket Cloud and Bitbucket Data Center REST APIs via atlassian-python-api to manage repositories, pull requests, pipelines, webhooks, and workspace settings.
- ▌ Bitwise Masks · paulpasImplements bitwise operations (&, |, ^, <<, >>) for flag management, permission bitmasking, and state tracking across C++, Python, and Rust.
- ▌ Braintree API · paulpasImplements Braintree API integration (Transactions, Vault, Subscriptions, Marketplace) using braintree Python SDK with 3D Secure verification, webhook signature validation, payment method tokenization, and PayPal/Venmo payment processing patterns.
- ▌ Data Encoding · paulpasSerializes and deserializes data through JSON, XML, Base64, URL encoding, YAML, and protocol buffer formats with type safety, error recovery, and character encoding correctness.
- ▌ Domain Events · paulpasImplements domain events for decoupled communication between aggregates and bounded contexts — event definition, publishing, handling, idempotency, and lifecycle management with typed Python implementations.
- ▌ Dry Principle · paulpasRefactors code to eliminate duplicate logic and knowledge by applying targeted abstraction techniques while balancing YAGNI to prevent over-engineering.
- ▌ Ds Ab Testing · paulpasProvides Designs and analyzes A/B tests including hypothesis testing power analysis, sample size calculation, and statistical significance evaluation
- ▌ Ds Clustering · paulpas"Implements clustering algorithms including K-means, hierarchical clustering DBSCAN, Gaussian mixture models, and spectral clustering"
- ▌ Ds Privacy Ml · paulpas"Implements privacy-preserving machine learning including differential privacy, federated learning, and privacy attack prevention"
- ▌ Grpc Patterns · paulpasImplements gRPC service patterns (unary, streaming, bidirectional), Protocol Buffers design, interceptor middleware, typed error handling, and client/server code generation for Go and Python microservices.
- ▌ Ibm Cloud API · paulpasIntegrates IBM Cloud services (Watson AI, Cloud Foundry, Kubernetes Service, Cloud Object Storage) using IBM Cloud SDK for Python with IAM authentication and service patterns.
- ▌ Pagerduty API · paulpasImplements PagerDuty API integration (incident management, on-call schedules, escalation policies, alerts, events API v2) using pdpyras Python SDK with event ingestion, incident querying, on-call retrieval, and maintenance windows.
- ▌ Redis Pub Sub · paulpasImplements Redis Pub/Sub messaging patterns for real-time, asynchronous communication between distributed system components using channel-based publish and subscribe operations.
- ▌ Replicate API · paulpasIntegrates Replicate API (models, predictions, trainings, webhooks) using the replicate Python SDK for running and fine-tuning open-source AI models in the cloud.
- ▌ Snowflake API · paulpasImplements Snowflake API integration focusing on SQL execution, Snowpark DataFrames, Cortex, Streams, and Tasks.
- ▌ Snowflake Sdk · paulpasIntegrates Snowflake using snowflake-connector-python 4.x with patterns for SQL execution, Snowpark DataFrames, Cortex AI, streams, tasks, stages, and warehouse management.
- ▌ Strategy Base · paulpas"Abstract base strategy pattern with initialization guards, typed abstract" methods, and conviction scoring integration
- ▌ Terraform Sdk · paulpasIntegrates with Terraform and OpenTofu via the HCP Terraform API (pyTFE), CDKTF Python bindings, and the Terraform Cloud API to manage providers, resources, state, and modules.
- ▌ Vercel Deploy · paulpasDeploys frontend applications to Vercel with preview deployments, production releases, and environment-specific configuration management via Git integration.
- ▌ Python Devops · paulpasPython reference for ops teams — shelling out, file manipulation, structured data parsing, CLI tools, testing, cloud SDKs, Kubernetes API, IaC and CI/CD patterns.
- ▌ Advanced Patterns · paulpasApplies advanced Go patterns including generics, reflection, functional options, and metaprogramming for performance-critical and framework-level code.
- ▌ Cloud Development · paulpasDevelops cloud-native Go applications with context propagation, graceful shutdown, health checks, and configuration management for production.
- ▌ Database Patterns · paulpasImplements database access patterns in Go with connection pooling, transaction management, repository patterns, and migration strategies.
- ▌ Go Error Handling · paulpasDesigns robust error handling in Go with custom error types, error wrapping, retry patterns, and failure recovery strategies for resilient applications.
- ▌ Modern Kotlin · paulpasImplements idiomatic Kotlin 2.0–2.4 patterns including coroutines, sealed interfaces, data classes, context receivers, and kotlinx libraries for production applications.
- ▌ Linux Security · paulpasHardens Linux systems against common attack vectors with security baselines, access controls, and audit frameworks for cloud and on-prem environments.
- ▌ Linux Services · paulpasManages Linux services with systemd for reliable operation, dependency ordering, resource isolation, and automated recovery in cloud and on-prem environments.
- ▌ Your Routine · paulpasImplements structured pre-market, during-market, and post-market routine frameworks that enforce consistent preparation, execution discipline, and systematic review for sustainable trading performance.
- ▌ Agent Debugging · paulpasImplements systematic debugging workflows for LLM agent failures including hallucination detection, infinite loop recovery, context window exhaustion, tool call errors, and cascading failure diagnosis using distributed tracing patterns.
- ▌ AI Agent Safety · paulpasImplements guardrails, safety checks, hallucination detection, prompt injection defense, and output validation for autonomous AI agents to prevent misuse, unauthorized actions, and unreliable behavior.
- ▌ AI Dev Jobs MCP · paulpasImplements intelligent ai dev jobs mcp with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense