Loading...
Loading...
Found 512 Skills
Comprehensive Kubernetes cluster health diagnostics using dynamic API discovery. Use when checking cluster health, troubleshooting K8s issues, or running health assessments.
Shell scripting expertise, command-line tools, automation, and cross-platform scripting best practices. Covers shell script development, CLI tool usage, and system automation with bash, zsh, and POSIX shell. Use when user mentions shell scripts, bash, zsh, CLI commands, pipes, command-line automation, or writing portable shell code.
Deep knowledge of GitHub Actions, Railway, Supabase, and Postgres platforms. Use when troubleshooting, configuring, or optimizing any of these platforms.
Generate Terraform HCL code following HashiCorp's official style conventions and best practices. Use when writing, reviewing, or generating Terraform configurations.
Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.
Multi-stage builds for optimized, minimal production images with build/runtime separation
Translates engineering metrics (DORA, error rates, technical debt) into business KPIs and financial impact. Helps justify technical investments to stakeholders.
Analyzes runtime errors and logs to draft improvement requirements. Bridges the gap between Operations and Development.
Load GitHub Actions automation workflows documentation including CI/CD pipelines, security scanning, and maintenance automation
Expert software architecture council with 6 advisors (Fowler, Beck, Uncle Bob, Newman, Hightower, Kim) for code design, architecture patterns, infrastructure, and development practices.
Helps users generate, edit, and validate mirrord.json configuration files for mirrord (MetalBear). Use when the user wants to connect their local process to a Kubernetes environment, configure features (env/fs/network), or needs feedback on an existing mirrord.json. Always ensures output JSON is valid and schema-conformant.
Complete Docker containerization patterns for development and production workflows