Explore our collection of Agent Skills to enhance your AI workflow.
Generates comprehensive pytest suites from functional requirements to automate test scaffolding for Nixtla-based plugins and pipelines.
Builds robust Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases and semantic search.
Implements robust .NET service layer patterns, including interface-based design, ServiceResult wrappers, and standardized business logic encapsulation.
Generates distinctive, production-grade frontend interfaces with high design quality that avoids generic AI aesthetics.
Converts Notion markdown exports into production-ready Next.js MDX files with automated image handling and interactive formatting.
Enforces type-safe React development by implementing standardized TypeScript interfaces, generics, and utility patterns.
Conducts high-reasoning, systematic debugging and root cause analysis to resolve complex software errors and performance issues.
Implements robust end-to-end testing suites using Playwright and Cypress to ensure reliable user journeys and zero regressions.
Automates development lifecycles, CI/CD pipelines, and team release processes to accelerate software delivery and ensure code quality.
Provides a standardized structure and boilerplate for creating specialized capabilities to enhance AI agent behavior and consistency.
Analyzes and maps the ripple effects of code changes to identify dependencies, risks, and total system impact.
Enforces modern, minimal UI design principles and consistent visual systems across all frontend frameworks.
Automates the generation of standardized Claude Code plugins with full directory structures, validation scripts, and marketplace integration.
Designs and implements resilient, durable distributed workflows using Temporal patterns and architectural best practices.
Optimizes React Three Fiber performance by dynamically adjusting Device Pixel Ratio based on real-time frame rates.
Audits Kubernetes manifests and Helm charts to ensure optimal resource allocation, security posture, and production readiness.
Integrates Codex gpt-5.2 consultation directly into Claude to provide expert second opinions and deep technical analysis.
Generates structured, high-reliability roadmaps for complex technical tasks and project implementations.
Analyzes code quality and detects code smells to provide actionable refactoring suggestions and structural improvements.
Generates production-ready GitHub Actions workflows for automated testing, building, and multi-platform deployment.
Automates the end-to-end development lifecycle for Jira issues using a structured 6-phase orchestration protocol.
Automates the validation and testing of embeddable Bible widgets, ensuring accurate scripture reference parsing and audio integration.
Architects robust Next.js 15 API routes using standardized patterns for request handling, authentication, and error management.
Resumes previous Codex conversation sessions to maintain context and continuity across development workflows.
Streamlines the management of internationalization strings and mappings to ensure consistent, stable UI copy and locale-neutral data.
Executes native MongoDB query syntax directly from the command line with built-in safety features and flexible output formatting.
Performs comprehensive investigations by synthesizing internal codebase context with external world knowledge to provide verified technical solutions.
Reviews and optimizes Go REST APIs built with Gin, Echo, Fiber, and Chi for better structure, security, and performance.
Facilitates collaborative AI-driven development with automated role switching, real-time quality verification, and integrated testing workflows.
Converts Figma screen flows into pixel-perfect, production-ready React components with Tailwind CSS and automated visual validation.
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