Explore our collection of Agent Skills to enhance your AI workflow.
Consolidates multiple feature branch commits into a single, professional commit with AI-generated functional summaries.
Designs scalable and resilient distributed systems using industry-standard service boundaries, event-driven communication, and data management patterns.
Manages infrastructure-as-code workflows using HashiCorp Configuration Language (HCL) with specialized support for Proxmox providers.
Creates and manages production-grade Grafana dashboards for real-time system observability and metric visualization.
Analyzes open-source issue requirements and maps them directly to specific code locations and structured implementation plans.
Optimizes cloud infrastructure spending through resource rightsizing, reserved capacity planning, and automated cost governance.
Design and implement resilient distributed systems using Temporal workflow patterns, saga logic, and state management best practices.
Implements advanced prompt engineering techniques to optimize LLM performance and output reliability for production applications.
Automates Kubernetes deployments using GitOps principles with ArgoCD and Flux CD for declarative infrastructure management.
Implements comprehensive testing strategies for smart contracts using Hardhat and Foundry to ensure security and gas efficiency.
Streamlines the testing of Temporal workflows and activities using pytest, time-skipping, and advanced mocking strategies.
Implement production-grade Kubernetes security using NetworkPolicies, RBAC, and Pod Security Standards.
Guides the technical transition of legacy AngularJS applications to modern Angular frameworks using hybrid strategies and incremental refactoring.
Configures Static Application Security Testing (SAST) tools to automate vulnerability detection and enforce security standards across your codebase.
Manages and secures sensitive credentials, API keys, and certificates across automated CI/CD pipelines and cloud environments.
Guides developers through a systematic four-phase process for finding, analyzing, and successfully contributing to open-source projects.
Manages the end-to-end lifecycle of GitHub issues through structured state transitions and code integration patterns.
Builds production-ready, reusable Terraform modules for AWS, Azure, and GCP following infrastructure-as-code best practices.
Manages major software dependency version upgrades through compatibility analysis, staged rollouts, and rigorous testing workflows.
Automates the creation, structuring, and distribution of professional Python packages using modern pyproject.toml standards and PyPI workflows.
Guides systematic, three-pass critical analysis of complex documents to validate assumptions and extract actionable technical insights.
Implements secure authentication and authorization systems using JWT, OAuth2, and advanced access control patterns.
Optimizes SQL queries and database schemas using advanced indexing, execution plan analysis, and performance patterns.
Transforms code reviews into a collaborative knowledge-sharing process that identifies bugs, improves architecture, and mentors developers.
Implements robust end-to-end testing suites using Playwright and Cypress to ensure application reliability and prevent regressions.
Implements resilient, distributed workflows using Temporal orchestration patterns and best practices for reliable systems.
Implements robust, multi-language error handling strategies to build resilient and fault-tolerant applications.
Implements systematic debugging workflows, profiling techniques, and root cause analysis to resolve complex software issues across any technology stack.
Orchestrates efficient, scalable multi-package repositories using Turborepo, Nx, and pnpm workspaces to optimize build performance and code sharing.
Architects resilient, scalable distributed systems using proven microservices design patterns and communication strategies.
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