Explore our collection of Agent Skills to enhance your AI workflow.
Provides comprehensive documentation and implementation patterns for Drizzle ORM, covering type-safe queries, schema management, and multi-database integrations.
Standardizes Node.js microservice development using a layered architecture, TypeScript, Prisma, and robust error handling.
Automates the continuous improvement and validation of Claude Code skills using the Ralph Wiggum self-review technique.
Implements domain-driven design and clean architecture patterns in ASP.NET Core Web APIs to isolate complex business logic and ensure long-term maintainability.
Enables standard UNIX command-line tools on Windows environments using a portable Win32 build of BusyBox.
Implements robust drag-and-drop functionality using @dnd-kit for seamless item reordering in React applications.
Implements rigorous benchmarking, behavioral testing, and reliability metrics for non-deterministic LLM agents.
Validates API contracts using consumer-driven testing and OpenAPI specifications to ensure provider-consumer compatibility and identify breaking changes.
Implements production-ready architectures for RAG pipelines, AI agents, and prompt engineering workflows.
Create, edit, and analyze Microsoft Word documents with support for tracked changes, OOXML manipulation, and automated formatting.
Performs comprehensive audits of FastAPI projects to ensure adherence to industry best practices, async optimization, and robust architectural patterns.
Automates the creation, management, and tailoring of professional resumes and career portfolios into job-specific PDF documents.
Implements expert Salesforce development patterns for Apex, LWC, and Salesforce DX to ensure scalable and efficient CRM customizations.
Implements Test-Driven Development patterns to create, verify, and optimize reusable Claude Code skills and documentation.
Optimizes Large Language Model performance through advanced prompting patterns, systematic refinement, and best practice implementation.
Optimizes AI performance and reduces operational costs through advanced prompt, response, and semantic caching strategies.
Applies Test-Driven Development principles to create, test, and optimize specialized Claude Code skills.
Reduces LLM latency and API costs by implementing advanced prefix, response, and Cache Augmented Generation (CAG) strategies.
Generates comprehensive, developer-friendly API documentation from your codebase, including endpoints, parameters, and interactive examples.
Provisions and manages user access for OSDU and Azure Data Manager for Energy (ADME) preshipping environments.
Guides the creation, pricing, and scaling of Notion templates into a profitable digital product business.
Automates headless web browsers through a CLI interface using accessibility-based element selection for reliable agentic workflows.
Deploys and optimizes Next.js applications on Vercel using best practices for performance, security, and scalability.
Builds custom internal tools and utilities by prioritizing personal problem-solving and rapid prototyping.
Manages Confluence documentation by synchronizing Markdown files, handling large page uploads with images, and converting between Wiki Markup and Markdown formats.
Guides users through the complete lifecycle of LLM fine-tuning, from initial goal setting to selecting optimal training strategies and models.
Optimizes the architecture and performance of autonomous Claude subagents through proven design principles and standardized patterns.
Master advanced prompting patterns and optimization techniques to maximize LLM performance and reliability.
Enforces a strict Red-Green-Refactor workflow to ensure high-quality, bug-free production code through the Iron Law of testing.
Facilitates the creation of AI agents capable of interacting with computer interfaces through visual perception and GUI control.
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