Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by verifying work is complete (tests, requirements, code review, TDD compliance) and presenting structured options for merge, PR, or cleanup
Implement application metrics (RED, USE), alerting strategies, and monitoring dashboards
Use structured logging with Pino throughout your application. Covers log levels, context, and workflow-safe logging patterns.
Log a decision to the decision log. Supports OPERATIONAL, TACTICAL, DESIGN, and ADR types. Use when recording decisions made by human or AI. Triggers on "decision", "decided", "log decision", "record decision", "document choice".
Configure structured logging with Pino. Outputs human-readable colorized logs in development and structured JSON in production for log aggregation services.
Capture exceptions, add context, create performance spans, and use structured logging with Sentry.
Implement structured logging with appropriate levels, context, and correlation for effective debugging and monitoring
Configure structured logging with Pino. Outputs human-readable colorized logs in development and structured JSON in production for log aggregation services.
Log an observation (measurement, state, or event). Use when recording factual observations during work execution. Triggers on "log observation", "record observation", "note finding", "capture state".
Define KPIs, build performance dashboards, track metrics, and drive data-driven decisions
Expert guide for designing Git branching strategies including Git Flow, GitHub Flow, trunk-based development, and release management. Use when establishing team workflows or improving version control practices.
Domain specialist for infrastructure, CI/CD, containers, observability, and DevOps operations. Scope: CI/CD pipelines, containerization, infrastructure as code, monitoring and observability, container security, release strategies, infrastructure reliability patterns. Excludes: code-level security, application architecture, database design, API design, performance profiling. Triggers: "CI/CD", "Docker", "Kubernetes", "K8s", "deployment", "pipeline", "monitoring", "observability", "Terraform", "Ansible", "infrastructure".
Universal testing strategies and best practices for software projects
Git version control, branching strategies, GitHub/GitLab workflows, and collaborative development
This skill should be used when the user asks to "create a worktree", "manage git worktrees", "work on multiple branches simultaneously", "isolate task work", "use bd worktree", or needs guidance on git worktree patterns for task isolation in k2-dev workflows.
Provide guidance on git workflows, branching strategies, and best practices for individual and team development
Automate GitHub pull request review resolution by processing ALL review comments and fixing ALL failing CI checks. Use when: (1) A PR has review comments that need to be addressed and resolved, (2) CI/CD checks are failing and need fixes, (3) You want to process all PR feedback and mark conversations as resolved, (4) You need to iterate on PR feedback quickly. IMPORTANT: This skill processes EVERY comment - no skipping allowed. Always fetches fresh data from GitHub. The only acceptable end state is zero unresolved threads. COMMIT CADENCE: Each thread gets its own commit (fix → commit → resolve → next). Never batch commits at the end.
Explore and understand repository patterns (monorepo, frontend, backend, microservices) to guide skill creation and tool selection decisions. Use when analyzing project structure, understanding complexity, or planning skill development.
Safe, repeatable deployment strategies for applications across environments. Use when setting up deployment pipelines, deploying to production, planning deployment strategies, implementing rollback procedures, or zero-downtime deployments.
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.
Enterprise Neon Serverless PostgreSQL Platform with AI-powered database architecture, Context7 integration, and intelligent branching orchestration for scalable modern applications
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
