paulpas
- 1.3k skills
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- ▌ Rollback Procedures · paulpasImplements comprehensive rollback procedures including deployment rollback, version rollback, database rollback, and rollback testing for Kubernetes and cloud-native applications
- ▌ Security Compliance · paulpasImplements security compliance frameworks (SOC2, HIPAA, PCI-DSS) with implementation patterns, audit procedures, and compliance automation for Kubernetes and cloud environments
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- ▌ Async Programming · paulpasImplements asynchronous programming patterns (asyncio task groups, goroutine pools, cancellation scopes, structured concurrency) to build high-throughput, non-blocking systems across Python and Go runtimes.
- ▌ CSV Data Handling · paulpasHandles CSV data safely across languages with RFC 4180 compliance, formula injection prevention, character encoding validation, and delimiter detection to protect against spreadsheet injection attacks.
- ▌ Ddd Anti Patterns · paulpasDetects and resolves common Domain-Driven Design anti-patterns including god aggregates, anemic domain models, context creep, repository leakage, specification over-engineering, and domain service sprawl in DDD codebases.
- ▌ Ddd Domain Events · paulpasImplements domain event infrastructure for DDD systems — synchronous publish-subscribe dispatchers, schema versioning with Pydantic discriminators, idempotent handler guards, PostgreSQL outbox pattern for reliable async delivery, and dead letter queue pipelines.
- ▌ Decorator Pattern · paulpasImplements the GoF Decorator pattern for dynamic behavior extension via composition over inheritance in Python using abstract decorators, transparent delegation with __getattr__, and composable wrapper chains.
- ▌ Docker Engine API · paulpasIntegrates with the Docker Engine API to manage containers, build images, configure networks, manage volumes, and orchestrate services with Swarm.
- ▌ Ds Data Ingestion · paulpas"Provides Designs and implements ETL pipelines, streaming data ingestion batch processing, and data pipeline orchestration for reliable data flow"
- ▌ Ds Data Profiling · paulpasProvides Extracts data profiles, schemas, metadata, and statistical summaries to understand data structure, quality, and characteristics at scale
- ▌ Ds Explainability · paulpas"Implements explainability and interpretability techniques for model transparency, understanding decisions, and building trust"
- ▌ Ds Kernel Density · paulpas"Implements kernel density estimation, non-parametric density estimation and bandwidth selection for probability density functions"
- ▌ Ds Model Fairness · paulpas"Evaluates and mitigates fairness issues including bias detection, fairness metrics, and debiasing strategies in machine learning"
- ▌ Ds Topic Modeling · paulpas"Implements topic modeling using Latent Dirichlet Allocation (LDA) Non-negative Matrix Factorization (NMF), and other topic extraction methods"
- ▌ Elasticsearch Sdk · paulpasIntegrates Elasticsearch using elasticsearch-py 8.x with patterns for indexing, search queries, aggregations, vector search, bulk operations, and index lifecycle management.
- ▌ Expression Engine · paulpasImplements expression evaluation engines (arithmetic, conditional logic, string manipulation, function dispatch) for configuration-driven workflows, rule engines, and dynamic computation without hard-coded code paths.
- ▌ Gitlab API Devops · paulpasImplements GitLab API functionalities for Developer Platforms and DevOps, covering projects, pipelines, merge requests, runners, and registry management.
- ▌ Gradle Build Tool · paulpasImplements Gradle build configurations including Kotlin DSL, version catalogs, configuration cache, multi-project builds, convention plugins, and dependency management for Java/Kotlin/Android applications.
- ▌ Incident Response · paulpasOrchestrates production incident response including severity classification, on-call escalation procedures, blameless postmortem analysis, and root cause remediation to minimize downtime and prevent recurrence.
- ▌ Kotlin Coroutines · paulpasImplements Kotlin coroutine patterns including structured concurrency, Flow APIs, dispatcher management, cancellation handling, and test-driven async development for production-grade concurrent applications.
- ▌ Output Formatting · paulpasEnforces deterministic structured output generation (JSON schemas, markdown tables, templated responses) for reliable downstream processing in AI agent workflows.
- ▌ React Bundle Size · paulpasOptimizes JavaScript bundle size in React applications through route-level code splitting, tree shaking configuration, granular imports, dynamic imports, and CI bundle size budgets.
- ▌ REST API Patterns · paulpasImplements RESTful API design patterns including resource modeling, HTTP method dispatching, structured error responses per RFC 7807, pagination, filtering, versioning, and HATEOAS for production-quality APIs.
- ▌ Semver Automation · paulpas"Provides Automating semantic versioning in Git repositories for version bumping, changelog generation, and release automation using conventional commits and to"
- ▌ Singleton Pattern · paulpasImplements the GoF Singleton pattern for controlled object lifecycle management in Python using module-level singletons, metaclass-based enforcement, threading-safe lazy initialization, and async-compatible variants.
- ▌ Version Migration · paulpasManages framework and library version upgrades through systematic breakage analysis, automated refactoring scripts, and progressive migration with zero-downtime rollback strategies.
- ▌ Websocket Manager · paulpas"WebSocket connection manager with state machine (connecting/connected/reconnecting/error)" exponential backoff, and message routing
- ▌ YAML Anchor Alias · paulpasCreates reusable YAML anchor and alias patterns with merge keys to eliminate repetition in configuration files across Kubernetes, Ansible, Terraform, and Helm deployments.
- ▌ Square Payments · paulpasIntegrates Square Payments API for handling payment transactions, refunds, and reporting.
- ▌ Data Candle Data · paulpas"OHLCV candle data processing, timeframe management, and validation for" trading algorithms
- ▌ Mermaid Diagrams · paulpasCreates clear, web-savvy MermaidJS diagrams (flowcharts, sequence diagrams, Gantt charts, and more) for Markdown documentation that renders beautifully on GitHub.
- ▌ Agent Manager Skill · paulpasImplements intelligent agent manager skill with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Agent Observability · paulpasImplements tracing, cost tracking, and latency monitoring patterns for AI agent systems to debug failures, control token spend, and optimize response times across multi-agent workflows.
- ▌ AI Agents Architect · paulpasImplements intelligent ai agents architect with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Airtable Automation · paulpasImplements intelligent airtable automation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Andruia Skill Smith · paulpasImplements intelligent andruia skill smith with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Circleci Automation · paulpasImplements intelligent circleci automation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ CLI Agent Workflows · paulpasImplements CLI agent workflows (terminal interaction, file operations, code generation from design specs, MCP bridging) for building command-line AI assistants and developer tooling.
- ▌ Conductor Implement · paulpasImplements intelligent conductor implement with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Conductor New Track · paulpasImplements intelligent conductor new track with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Conductor Validator · paulpasImplements intelligent conductor validator with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Container Inspector · paulpasImplements intelligent container inspector with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Conversation Memory · paulpasImplements intelligent conversation memory with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Framework Selection · paulpasApplies structured decision-making frameworks (weighted scoring, RICE, MoSCoW, decision matrices) to evaluate options against requirements and select optimal solutions.
- ▌ Helpdesk Automation · paulpasImplements intelligent helpdesk automation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Hosted Agents V2 Py · paulpasImplements intelligent hosted agents v2 py with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Instruction Parsing · paulpasParses natural language instructions to extract structured intent, constraints, and parameters for reliable skill routing in AI agent systems.
- ▌ Intercom Automation · paulpasImplements intelligent intercom automation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Learning Adaptation · paulpasEnables agents to improve through experience using reinforcement learning patterns (PPO, DPO, RLHF) and knowledge base RAG for continuous self-improvement and adaptive behavior across sessions.
- ▌ N8n Code Javascript · paulpasImplements intelligent n8n code javascript with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Network Diagnostics · paulpasImplements intelligent network diagnostics with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Planning With Files · paulpasImplements intelligent planning with files with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Regression Detector · paulpasImplements intelligent regression detector with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Sendgrid Automation · paulpasImplements intelligent sendgrid automation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Skill Observability · paulpasCollects telemetry on skill usage patterns, measures trigger-to-action fidelity, gathers user feedback signals, and produces dashboards for continuous skill improvement in agent orchestration systems.
- ▌ Skill Rails Upgrade · paulpasImplements intelligent skill rails upgrade with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Skill Router System · paulpasImplements and configures the AI agent skill routing system for auto-loading, trigger matching, confidence scoring, and skills-index generation across orchestration layers.
- ▌ System Hints Design · paulpasConstructs layered system hints for agent architectures — identity, context, constraint, and behavioral hint layers — with provider-specific patterns for Anthropic, OpenAI, and Google Gemini.
- ▌ Task Prioritization · paulpasEnables agents to rank and schedule tasks by urgency, importance, dependencies, and resource cost using priority matrices, dynamic re-prioritization, and dependency-aware scheduling for optimal execution order.
- ▌ Temporal Golang Pro · paulpasImplements intelligent temporal golang pro with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Temporal Python Pro · paulpasImplements intelligent temporal python pro with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Trigger Engineering · paulpasEngineers precision trigger sets for AI agent skills using two-tier discovery patterns, anti-trigger calibration, archetype alignment, and hybrid scoring optimization to maximize auto-loading accuracy while minimizing false positive rates.
- ▌ Workflow Automation · paulpasImplements intelligent workflow automation with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense
- ▌ Weaviate Vector Search · paulpasImplements vector search capabilities of the Weaviate API, allowing efficient and scalable retrieval of relevant data for AI applications.
- ▌ GCP Cloud Monitoring · paulpas"Monitors GCP resources with metrics, logging, and alerting for operational visibility"
- ▌ GCP Cloud Operations · paulpas"Provides Systems management including monitoring, logging, error reporting, and diagnostics"
- ▌ Kubernetes Configmap · paulpasImplements v1 ConfigMap manifests for injecting configuration data into pods via environment variables, volume mounts, and command-line arguments.
- ▌ Kubernetes Debugging · paulpasImplements comprehensive Kubernetes debugging workflow with pod inspection, log analysis, resource debugging, network troubleshooting, and common failure pattern diagnosis using kubectl commands.
- ▌ Process Architecture · paulpas"Creates or updates ARCHITECTURE.md documenting the project's design" components, and technical decisions for CNCF projects
- ▌ Ampersand Operator · paulpasImplements bitwise AND operations, address/reference resolution, and memory pointer manipulation using & operator across C, C++, Rust, Python ctypes, and Go for low-level programming.
- ▌ API Gateway Design · paulpasDesigns API gateway patterns for request routing, rate limiting, authentication, response caching, and request aggregation across microservice architectures.
- ▌ Atomic Skills Spec · paulpasDefines criteria, thresholds, and migration patterns for splitting monolithic skills into focused atomic skills — including split heuristics, trigger engineering for new sub-skills, and gradual migration strategy.
- ▌ Caching Strategies · paulpasImplements caching strategies (cache-aside, write-through, write-behind, multi-tier architecture, stampede prevention) for high-performance data access layers with consistency guarantees.
- ▌ Clean Architecture · paulpasDesigns software using Robert C. Martin's Clean Architecture concentric layers (Entities, Use Cases, Interface Adapters, Frameworks) with strict dependency rules and boundary contracts for framework-independent business logic.
- ▌ Conviction Scoring · paulpas"Multi-factor conviction scoring engine combining technical, momentum" trend, volatility, and volume signals with configurable weights
- ▌ Data Deduplication · paulpasIdentifies and eliminates data-layer duplication (schema, ETL transformations, API responses, query patterns, configuration) using canonical source extraction to prevent inconsistent definitions across services and pipelines.
- ▌ Data Normalization · paulpas'Provides Exchange data normalization layer: typed dataclasses for ticker/trade/orderbook, exchange-specific parsing, and symbol format standardization'
- ▌ Datadog API Alerts · paulpasImplements alert management using the Datadog API, focusing on creating effective alerts that respond to service conditions with best practices.
- ▌ Datadog API Traces · paulpasImplements application performance monitoring (APM) using the Datadog API for tracing, including best practices for initiating and managing traces and spans.
- ▌ Dlq Retry Patterns · paulpasImplements dead letter queue architectures with retry strategies (exponential backoff, circuit breaker integration, poison pill detection) for resilient event-driven systems.
- ▌ Ds Data Collection · paulpas"Implements data gathering strategies including APIs, web scraping sensor data collection, and database queries for building machine learning datasets"
- ▌ Ds Data Versioning · paulpas"Implements data versioning, lineage tracking, provenance management and reproducible data pipelines for experiment tracking and governance"
- ▌ Ds Model Selection · paulpas"Provides Compares and selects models using AIC, BIC, validation curves learning curves, and model comparison techniques"
- ▌ Ds Neural Networks · paulpas"Implements deep neural networks, backpropagation, activation functions architectures (CNN, RNN, Transformers), and training strategies"
- ▌ Grafana Prometheus · paulpasImplements Grafana and Prometheus integration (metrics collection, querying, alerting rules, Grafana dashboards as code, PromQL patterns, and Grafana HTTP API for dashboard management, using prometheus-api-client and grafana-api Python SDKs.
- ▌ GRAPHQL API Design · paulpasImplements best practices for designing GraphQL APIs, focusing on schema design, query optimization, and resolver implementation.
- ▌ GRAPHQL Federation · paulpasImplements Apollo Federation 3 patterns (@key, @external, @provides, @requires directives) for building federated microservice graphs with Strawberry Python and Apollo Router.
- ▌ Maven Build System · paulpasImplements Apache Maven build configurations (POM structure, dependency management, profiles, multi-module builds, plugin configuration) for Java and Kotlin projects.
- ▌ Production Logging · paulpasImplements production logging practices including structured logging, log level management, context propagation, correlation IDs, sensitive data redaction, and log aggregation patterns for actionable observability in software systems.
- ▌ Prompt Engineering · paulpasImplements prompt design patterns including chain-of-thought reasoning, role-setting, few-shot exemplars, structured output schemas, and system prompt optimization for reliable LLM agent behavior.
- ▌ Structured Logging · paulpasImplements structured JSON logging with correlation IDs, OpenTelemetry context propagation, and tiered log level strategies for production-grade observability in Python and Go services.
- ▌ Testing End To End · paulpasFacilitates end-to-end testing of complete workflows, verifying entire systems operate as intended from a user's perspective.
- ▌ Websocket Protocol · paulpasImplements WebSocket protocol-level patterns including frame parsing, subprotocol negotiation, permessage-deflate compression, text/binary framing, and backpressure management for real-time applications.
- ▌ Websocket Security · paulpasHardens WebSocket connections against cross-site hijacking, DoS attacks, and message flooding through origin validation, authentication, rate limiting, connection limits, and secure transport enforcement.
- ▌ Iac Infrastructure · paulpasImplements advanced IaC engineering patterns including modular Terraform architecture, policy-as-code with OPA, GitOps with ArgoCD, Terratest-driven testing, and cross-cloud multi-account resource management for production infrastructure.
- ▌ Resource Management · paulpasManages Linux system resources using cgroups v2, namespaces, and systemd for workload isolation and resource guarantees in cloud and on-prem environments.
- ▌ Digital Fabrication · paulpasImplements 3D printing slicing, laser cutting calibration, CNC toolpaths, and STL validation workflows for turning CAD models into fabrication-ready parts with optimized parameters.
- ▌ Async Runtime · paulpasImplements and analyzes Rust async runtime patterns including tokio, async-std, and custom executors for high-performance concurrent systems.
- ▌ Auth0 API Skills · paulpasImplements Auth0 API functionalities (user CRUD, authentication flows, actions/hooks, organizations/multi-tenancy) for secure identity and access management in web and mobile applications.