Explore our collection of Agent Skills to enhance your AI workflow.
Guides developers through the end-to-end process of building high-quality Model Context Protocol (MCP) servers for AI agents.
Automates the end-to-end release and publication process for the Ash Cookie Consent Elixir library.
Explores and implements the to-be-continuous GitLab CI/CD framework for standardized, production-grade pipeline automation.
Manages modular Claude Code rules through interactive guided elicitation to standardize project conventions and personal workflows.
Implements and refactors backend systems using Clean Architecture, Hexagonal Architecture, and Domain-Driven Design principles.
Implements advanced TypeScript patterns to eliminate runtime errors and build bulletproof, type-safe system architectures.
Integrates PayPal payment processing, including express checkout, recurring subscriptions, and secure refund workflows.
Optimizes game revenue through ethical monetization strategies, in-app purchase implementation, and balanced economy design.
Optimizes Turborepo and pnpm workspace management to streamline build processes and large-scale monorepo architecture.
Generates production-ready, multi-cloud Terraform modules following infrastructure-as-code best practices for AWS, Azure, and GCP.
Provides specialized functions for hydrological modeling and climate data processing within the Julia environment.
Simplifies Git history management by automating the creation of fixup commits and executing autosquash rebases.
Standardizes the creation and optimization of modular skills for Claude Code plugins using engineering best practices.
Automates the creation of comprehensive unit tests for frontend projects by detecting existing frameworks and generating consistent test code.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to automated production deployment.
Manages dependencies between Bounded Contexts using Anti-Corruption Layers and strategic Context Mapping patterns.
Automates the formatting and uploading of agent transcripts and evaluation logs to the Docent analysis platform.
Automates the creation and configuration of custom governance rules to monitor, warn, or block specific patterns in Claude Code workflows.
Coordinates parallel sub-agents to analyze complex codebases, trace architectural patterns, and synthesize deep technical findings.
Guides users through the process of proving that a concrete TLA+ specification correctly implements an abstract high-level design.
Generates high-converting, narrative-based email sequences using the Soap Opera Sequence framework to build audience trust and drive sales.
Optimizes marketing performance through AI-driven content creation, automated workflows, and data-backed SEO strategies.
Generates and maintains a comprehensive project structure index to optimize AI context loading and codebase navigation.
Automates content extraction from URLs and generates structured Ship-Learn-Next action plans to turn information into implementation.
Generates comprehensive system architecture documents, C4 model diagrams, and Architecture Decision Records (ADRs) for clear technical communication.
Facilitates the design of scalable, high-performance software systems using automated architecture diagrams and technical decision frameworks.
Builds high-performance full-stack applications using Next.js, Turborepo, and RemixIcon with optimized implementation patterns.
Detects and analyzes improper memory deallocation patterns including mismatched allocators, double frees, and invalid pointer usage in C/C++ code.
Automates the entire enterprise report lifecycle from scheduling and data refreshes to multi-channel distribution and governance.
Manages B2B customer credit accounts, automated credit checks, and order hold workflows to mitigate financial risk.
Scroll for more results...