Explore our collection of Agent Skills to enhance your AI workflow.
Builds Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases, semantic search, and advanced retrieval strategies.
Implements efficient similarity search and vector database patterns for semantic search, RAG retrieval, and recommendation engines.
Implements robust end-to-end testing suites using Playwright and Cypress following industry-standard patterns and best practices.
Implements high-performance concurrent systems in Rust using the Tokio runtime and industry-standard async design patterns.
Tests smart contracts comprehensively using Hardhat and Foundry frameworks with support for unit testing, mainnet forking, and fuzzing.
Implements secure smart contract development patterns and identifies critical vulnerabilities in Solidity code to ensure robust blockchain applications.
Implements comprehensive testing strategies using Jest, Vitest, and Testing Library for robust JavaScript and TypeScript application development.
Optimizes semantic search and RAG applications through intelligent model selection, chunking strategies, and embedding quality evaluation.
Implements secure, PCI-compliant payment processing flows including checkout, subscriptions, and automated webhook handling.
Implements high-performance, non-blocking Python systems through master-level asyncio patterns and concurrent programming techniques.
Calculates comprehensive portfolio risk indicators, including Value at Risk (VaR), expected shortfall, and risk-adjusted return ratios.
Streamlines the creation, configuration, and distribution of professional Python packages using modern standards and best practices.
Optimizes shell script quality and portability using comprehensive static analysis and configuration patterns.
Visualizes and analyzes complex threat paths using systematic attack tree modeling to identify security vulnerabilities and prioritize defensive measures.
Implements production-grade shell scripting techniques to ensure reliability, fault tolerance, and safety across automated workflows and system utilities.
Transforms raw data into compelling, actionable narratives through structured story frameworks and effective visualization techniques.
Generates and maintains comprehensive OpenAPI 3.1 specifications to ensure API contract compliance and high-quality documentation.
Profiles, analyzes, and accelerates Python code through CPU/memory diagnostics, efficient data structures, and advanced parallelization techniques.
Build and orchestrate production-grade MLOps pipelines from data preparation through model training, validation, and deployment.
Optimizes Apache Spark workloads through advanced partitioning, memory management, and shuffle tuning strategies.
Builds and standardizes reusable, production-ready Terraform modules for AWS, Azure, and GCP infrastructure using industry best practices.
Accelerates Python development through ultra-fast dependency management, virtual environment orchestration, and reproducible build workflows.
Builds production-grade React Native applications using Expo, modern navigation patterns, and offline-first architectural strategies.
Generates production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following industry best practices and security standards.
Optimizes monorepo build performance through efficient Turborepo pipeline configuration and local or remote caching strategies.
Generates comprehensive, blameless incident reports featuring root cause analysis, event timelines, and actionable follow-up items.
Optimizes slow database queries through systematic indexing strategies, EXPLAIN plan analysis, and efficient query patterning.
Configures and optimizes Nx monorepo architectures through standardized project boundaries, build caching, and automated CI workflows.
Upgrades legacy React applications to modern standards by migrating class components to hooks, adopting concurrent features, and applying automated codemods.
Build high-performance read models and materialized views from event streams using CQRS architectural patterns.
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