rails-aiproject-setup
Setting up and configuring Rails 8+ projects - Gemfile dependencies, environment config, credentials, initializers, Docker, RuboCop, project validation
Setting up and configuring Rails 8+ projects - Gemfile dependencies, environment config, credentials, initializers, Docker, RuboCop, project validation
Human-supervised PDCA (Plan-Do-Check-Act) framework for AI-assisted code generation. Use when generating production code with AI agents to maintain quality, reduce technical debt, and keep humans engaged. Applies structured analysis, planning, test-driven development, validation, and retrospection to AI coding sessions. Essential for developers who need systematic approaches to maintain code quality and accountability when using AI code generation tools in complex codebases.
Use when executing implementation plans with independent tasks in the current session
Set up local development environments with production parity for DigitalOcean App Platform. Use when setting up local dev, adding devcontainer to a project, running App Platform apps locally, or configuring backing services (Postgres, Redis, Kafka, S3).
Set up and manage local Kubernetes clusters using KIND (Kubernetes IN Docker). Use when testing Kubernetes applications locally or developing cloud-native workloads.
Generate the connector spec YAML file defining connection parameters and external options allowlist.
Safe git commit workflow that prevents commits to main branch. Use when the user asks to "commit changes", "save changes", "git commit", or when completing a task that needs version control. Automatically creates feature branches when on main. NEVER creates pull requests unless explicitly requested by the user.
Remove all Claude/AI authorship references from git history including commit messages, co-authored-by lines, and generated-with markers. Uses git-filter-repo for safe history rewriting.
When a mode needs to read, create, or write (log progress) to a log file.
Emit info-level logs to file during task execution, similar to logger.info() calls in code
Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.
Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.
Expert Kubernetes specialist mastering container orchestration, cluster management, and cloud-native architectures. Specializes in production-grade deployments, security hardening, and performance optimization with focus on scalability and reliability.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Scaffold a new ins* package in the go-pkg multi-module monorepo
Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.
Создание объекта конфигурации в 1С:Элемент (XBSL). Используй этот скилл когда пользователь хочет создать новый объект метаданных в проекте
Scaffold a new feature module with the appropriate layers and MESA conventions
This skill should be used when the user needs to create, validate, standardize, or repair YAML frontmatter properties in Obsidian notes. Use when the user wants to add or update tags, aliases, dates, custom properties, or any metadata fields in the Properties panel of an Obsidian note.
Configure the OpenTelemetry Collector with Sentry Exporter for multi-project routing and automatic project creation. Use when setting up OTel with Sentry, configuring collector pipelines for traces and logs, or routing telemetry from multiple services to Sentry projects.
Deploy a temporary LimaCharlie EDR agent on the local Linux or Mac OS host for testing. Downloads and runs the LC sensor in a temp directory with automatic cleanup. Use for testing detection rules, investigating sensor behavior, or development. Requires selecting or creating a LimaCharlie organization first.
Customize and test Grok parsing for USP, Cloud Sensor, and External adapters. Helps generate parsing rules from sample logs, validate against test data, and deploy configurations. Use when setting up new log sources, troubleshooting parsing issues, or modifying field extraction for adapters.