Explore our collection of Agent Skills to enhance your AI workflow.
Manages Google Drive files and folders using Ruby scripts with full support for CRUD operations, sharing permissions, and seamless Workspace integration.
Automates the creation of detailed, convention-compliant Git commits and pushes changes to remote repositories.
Exports data analysis results into multiple professional formats including CSV, Excel, JSON, and Markdown with customized formatting.
Generates professional Markdown documentation including READMEs, automated changelogs, and comprehensive technical guides with modern formatting.
Standardizes per-project configuration for Claude Code plugins using YAML frontmatter and markdown state files.
Automates web browser interactions, screenshots, and end-to-end testing using a local Playwright Docker container.
Standardizes and automates high-quality unit testing for CUI Java projects using JUnit 5 and specialized generator frameworks.
Enforces CDI and Quarkus development standards, including constructor injection, container security, and native image optimization.
Creates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics through bold design choices.
Refines rough ideas into fully-formed technical designs through structured collaborative questioning and incremental validation.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge and proprietary data.
Designs and documents production-grade RESTful and GraphQL APIs with OpenAPI specifications and industry-standard security patterns.
Enforces domain security protocols and research methodologies for managing WebFetch permissions and domain trustworthiness.
Identifies and evaluates suitable open-source issues by matching contributor skills, time availability, and project health metrics.
Deconstructs complex development requests into discrete, trackable tasks within a local TODO.md file to maintain clear progress and implementation order.
Implements comprehensive evaluation strategies for Large Language Model applications using automated metrics, human feedback, and comparative benchmarking.
Implements robust backend architectures using Clean Architecture, Hexagonal Architecture, and Domain-Driven Design principles.
Builds reusable, production-ready Terraform modules for AWS, Azure, and GCP following infrastructure-as-code best practices.
Architect multi-stage CI/CD workflows with automated gates, secure orchestration, and advanced deployment strategies.
Automates and guides complex database migrations across multiple ORMs with a focus on zero-downtime and data integrity.
Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.
Implements distributed tracing with Jaeger and Tempo to monitor microservice request flows and pinpoint performance bottlenecks.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and automated alerting.
Architects resilient and vendor-neutral systems by selecting and integrating services across AWS, Azure, and GCP.
Implements and optimizes asynchronous C# code using modern async/await patterns, Task management, and cancellation strategies.
Generates production-ready Kubernetes manifests including Deployments, Services, and Secrets following security and cloud-native best practices.
Secures Ethereum smart contracts by implementing industry-standard patterns and preventing common vulnerabilities like reentrancy and access control flaws.
Builds production-ready, scalable Node.js backend services using modern architectural patterns and frameworks like Express and Fastify.
Automates the design, organization, and management of production-ready Helm charts for packaging and deploying Kubernetes applications.
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