Automation

Testing workflow patterns and quality standards. Activate when working with tests, test files, test directories, code quality tools, coverage reports, or testing tasks. Includes zero-warnings policy, targeted testing during development, mocking patterns, and best practices across languages.

End-to-end testing with Playwright 1.57+. Use when testing critical user journeys, browser automation, cross-browser testing, AI-assisted test generation, or validating complete application flows.

Expert guidance for n8n workflow development in Vigil Guard v2.0.0. Use when working with the 24-node 3-branch parallel detection pipeline, arbiter decision logic, unified_config.json management, dual-language PII detection, or workflow troubleshooting.

Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.

Helps choose the right Claude Code extension mechanism (slash commands, skills, subagents, or hooks) for a given use case. Use when discussing how to extend Claude Code, automate workflows, or implement custom functionality.

Ruby on Rails framework workflow guidelines. Activate when working with Rails projects, Gemfile with rails, rake tasks, or Rails-specific patterns.

Maintain incremental delivery, fail-fast behavior, and structured communication. Use when workflow discipline guidance is required.

Comprehensive legacy codebase analysis skill for technical debt assessment, security vulnerability scanning, performance bottleneck detection, and modernization roadmap generation. Includes 7 Python tools for automated codebase inventory, architecture health analysis, and strategic modernization planning.

Apply multi-phase workflow and handoff patterns. Use when workflow patterns guidance is required.

DevContainer configuration for consistent development environments with Docker, multi-stage builds, non-root users, environment management, Docker-in-Docker support, and Python with uv. Activate when working with .devcontainer/, devcontainer.json, Dockerfile, or container-based development workflows.

Automated test fixture generation for Vigil Guard's 8-file test suite. Use for TDD workflow, malicious/benign payload creation, 3-branch detection testing, bypass scenario testing, and maintaining test coverage.

Activate when user needs multi-URL scraping, browser automation pipelines, or efficient tool orchestration to reduce API round-trips and context usage.

Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.

Multi-agent coordination and synthesis patterns. Use when orchestrating multiple specialized agents, implementing fan-out/fan-in workflows, or synthesizing outputs from parallel agents.

Generate and edit images using AI providers (OpenAI DALL-E, Stability AI, BFL FLUX, Ideogram, FAL, Gemini, Replicate, Clipdrop). Use when user asks to create images, generate artwork, make logos, create visual content, edit photos, remove backgrounds, or modify existing images. Triggers on requests involving pictures, illustrations, graphics, product shots, marketing visuals, or any image creation/editing task.

Use when visualizing architecture, data flows, or system diagrams in text. Creates ASCII art for plans, workflows, and structures that render in terminals and markdown.

Manage the llm-do task tracker stored under tasks/ (backlog, active, completed, recurring) including creating new tasks, updating current state, moving tasks between stages, and applying the standard templates when planning or resuming work.

Master Orchestrator for autonomous multi-agent coordination. Use when tasks require multiple technology experts, complex workflows (TDD pattern addition, security audits), intelligent routing, or explicit orchestration requests. Coordinates 17 technology experts with real-time progress reporting.

This skill should be used when creating new integration tests for Breenix kernel features. Use for writing shared QEMU tests with checkpoint signals, creating xtask test commands, adding test workflows, and following Breenix testing patterns.

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Kinesis, and modern data stack. Includes data modeling, pipeline orchestration, data quality, streaming quality monitoring, and DataOps. Use when designing data architectures, building batch or streaming data pipelines, optimizing data workflows, or implementing data governance.