Explore our collection of Agent Skills to enhance your AI workflow.
Automates the end-to-end resolution of GitHub Issues through type-specific workflows and standardized development guidelines.
Implements a systematic debugging methodology using root cause analysis and evidence-based investigation to resolve complex software issues.
Orchestrates end-to-end MLOps pipelines from data preparation and training to validation and production deployment.
Automates Kubernetes deployments using GitOps principles with ArgoCD and Flux CD for declarative, self-healing infrastructure.
Implement comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking.
Implements a systematic four-phase framework to solve complex enterprise problems through structured requirements engineering and intelligent solution synthesis.
Configures Prometheus for comprehensive metric collection, alerting, and observability across infrastructure and applications.
Facilitates single-model AI conversations with multi-turn threading support and integrated file-based context.
Scopes and prioritizes technical spikes to de-risk architecture and implementation uncertainties for engineering teams.
Generates production-ready, secure Kubernetes YAML manifests for deployments, services, and cloud-native infrastructure.
Standardizes and accelerates GitLab CI/CD pipeline development with battle-tested templates for testing, building, and multi-environment deployment.
Builds robust, type-safe GraphQL APIs with automated schema design, efficient data loading, and real-time subscription support.
Provides the standardized structure and directive language patterns required to develop official Claude Code skills.
Builds interactive, self-contained web applications and artifacts using HTML, CSS, and JavaScript.
Generates and manages production-grade Grafana dashboards for real-time system observability and metric visualization.
Standardizes Git operations and development workflows by enforcing pull request protocols, testing standards, and container-aware command execution.
Implements production-grade Kubernetes security using NetworkPolicies, Pod Security Standards, and fine-grained RBAC.
Master complex TypeScript type logic including generics, conditional types, and mapped types to build production-grade, type-safe applications.
Conducts systematic multi-step investigations using hypothesis tracking and progressive confidence modeling to solve complex technical problems.
Enhances the pull request process by providing structured feedback, identifying logic errors, and fostering collaborative knowledge sharing across development teams.
Eliminates architectural complexity by identifying unifying insights that render multiple redundant components unnecessary.
Initiates a specialized subagent to audit code implementations against requirements and catch issues before they merge.
Guides the creation and packaging of modular Claude Code Skills through standardized templates, automation scripts, and optimization design patterns.
Optimizes cloud infrastructure spending through resource rightsizing, reserved capacity planning, and strategic cost governance.
Verifies Android application features against acceptance criteria while ensuring stability across lifecycle events and configuration changes.
Generates production-ready GitHub Actions workflows for automated testing, building, and multi-platform deployment.
Integrates OpenAI Codex to provide intelligent code analysis, architectural insights, and second opinions on complex codebase questions.
Manages the persistence and automatic disposal of specialized AI agents across six distinct lifecycle stages within Claude Code.
Secures and automates the handling of sensitive credentials, API keys, and certificates within CI/CD pipelines.
Generates and standardizes production-ready Terraform modules for AWS, Azure, and GCP using infrastructure-as-code best practices.
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