Explore our collection of Agent Skills to enhance your AI workflow.
Automates cross-platform desktop tasks using vision-based agents that see, understand, and interact with graphical user interfaces.
Integrates external AI models like Grok, ChatGPT, and Gemini to provide multi-perspective code reviews and architectural second opinions.
Facilitates the transition from legacy AngularJS to modern Angular using hybrid modes, incremental rewriting, and dependency injection updates.
Streamlines the creation of high-quality marketing landing pages using a curated library of Tailark and Tailwind CSS components.
Automates comprehensive sales meeting preparation by synthesizing CRM data, attendee research, and web news into actionable briefs.
Validates development and deployment plans through a multi-layer framework to ensure safety, completeness, and adherence to project patterns.
Provides expert guidance and UX principles for building intuitive, discoverable, and professional command-line interfaces.
Analyzes and enhances Jira issues by scoring them against a quality rubric and providing actionable improvement suggestions.
Generates production-grade Kubernetes YAML manifests for deployments, services, and configurations following industry security standards and cloud-native best practices.
Detects and reports redundant or duplicate content across documentation files to optimize information architecture.
Automates full-stack CI/CD pipelines including code quality checks, multi-stage testing, and Vercel deployments.
Synchronizes conversation history and structured knowledge graphs to provide persistent context across AI development sessions.
Generates comprehensive, generator-ready inline documentation including JSDoc, docstrings, and strategic comments for TypeScript and Python.
Streamlines type-safe database operations and schema management using optimized Drizzle ORM patterns.
Architects robust CI/CD workflows with multi-stage orchestration, approval gates, and automated deployment strategies.
Creates distinctive, production-grade frontend interfaces with high design quality while avoiding generic AI aesthetics.
Standardizes the creation, testing, and distribution of specialized Claude Code skills through a test-driven development approach and two-repository marketplace architecture.
Standardizes visual communication by routing icon systems between ASCII symbols for text and Iconify for Vue components.
Automates production-ready deployments for EFT-Tracker using Coolify, Docker, and a 3-tier validation system.
Builds and migrates Minecraft mods using NeoForge or Fabric with built-in support for popular mod APIs and modern data-driven standards.
Automates the diagnosis and resolution of technical failures and silent behavioral anomalies through systematic hypothesis testing.
Synchronizes source code evidence with derived technical documentation to prevent drift and ensure accurate specifications.
Generates typed API request functions and data structures directly from YAPI documentation URLs.
Enforces a rigorous four-gate verification protocol to eliminate technical debt and ensure evidence-based decision-making during development.
Synchronizes and generates project documentation directly from source-of-truth configuration files.
Evaluates code for robust error handling and mentors developers on implementing senior-level resilience patterns.
Enforces end-to-end type safety and advanced inference patterns for Next.js applications using tRPC, Drizzle, and Zod.
Generates distinctive, production-grade frontend interfaces that prioritize high design quality over generic AI aesthetics.
Maintains a persistent project convention index using Oracle knowledge atoms to optimize AI context engineering.
Standardizes Nuxt 4 development patterns to ensure high-performance Vue applications with robust server-client separation.
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