Explore our collection of Agent Skills to enhance your AI workflow.
Generates production-ready Kubernetes manifests following security best practices and cloud-native standards.
Generates standardized Claude Agent Skills from natural language descriptions following official specifications and best practices.
Builds production-ready, reusable Terraform modules for AWS, Azure, and GCP using infrastructure-as-code best practices.
Conducts automated security audits and penetration tests using AI-driven discovery, vulnerability scanning, and structured analysis.
Investigates Mission Control alerts to identify root causes and provide actionable remediation steps through historical pattern analysis and resource correlation.
Configures high-performance SQLAlchemy async patterns for Supabase, including Row Level Security (RLS) authentication and optimized connection pooling.
Enforces modern JavaScript best practices, code quality limits, and standardized patterns for consistent development workflows.
Implements a robust background task management system using APScheduler for complex scheduling and Celery for distributed execution.
Defines and configures custom slash commands for AI agents within the Traycer enforcement framework using standardized Markdown templates.
Generates project-specific Claude Code skills by analyzing codebases to document architecture, conventions, testing patterns, and deployment workflows.
Automates the generation of standardized changelogs and release notes using conventional commits and semantic versioning.
Guides Ethereum developers in building smart contracts on the pod network by explaining its coordination-free, blockless execution model and order-independent programming patterns.
Implements robust error handling strategies and resiliency patterns across multiple programming languages to build fault-tolerant applications.
Generates high-quality acceptance criteria and test specifications using industry-standard Behavior-Driven Development (BDD) and Gherkin syntax.
Configures Prometheus for comprehensive metric collection, infrastructure monitoring, and alerting systems.
Simplifies Kubernetes application packaging by creating and managing standardized, production-ready Helm charts.
Provides a comprehensive reference for Azure DevOps work item fields, link types, and CLI commands to streamline project management tasks.
Implements production-ready dbt patterns for scalable data modeling and analytics engineering.
Calculates comprehensive financial risk metrics including VaR, CVaR, Sharpe, and Sortino ratios for quantitative portfolio management.
Configures Tailwind CSS and shadcn/ui for React frontends with Django backends, including integrated dark mode support and theme tokens.
Hardens Kubernetes clusters by implementing production-grade NetworkPolicies, RBAC configurations, and Pod Security Standards.
Automates the Git commit process using conventional commit standards and artifact cleanup for cleaner, more reliable repositories.
Optimizes token usage and enhances model performance by implementing a progressive disclosure strategy for loading skill context.
Optimizes version control with advanced Git techniques like rebasing, cherry-picking, and bisecting for a cleaner repository history.
Automates the generation of custom Claude Code Skills through interactive wizards and pre-built templates.
Builds and manages modern Python command-line interfaces with advanced logging and shell integration.
Architects vendor-neutral cloud systems by integrating and comparing services across AWS, Azure, and GCP.
Creates and manages production-grade Grafana dashboards for real-time system observability and metric visualization.
Ensures process documentation and skills remain effective under pressure by applying a rigorous Red-Green-Refactor testing cycle to prevent agent rationalization.
Automates the conversion of external API references and technical documentation into structured Claude Agent Skills.
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