CI/CD

Project-specific build commands. Customize for your project.

Instrument LLM API calls with proper spans, tokens, and latency

Structured reasoning for complex problems using Sequential Thinking MCP. Break down problems into stages, track thought progression, identify connections, and generate insights. Use for architectural decisions, complex debugging, research planning, or any problem requiring deep analysis.

Prepare detailed, professional prompts for Google Imagen 3/4 image generation. Supports character, environment, and object prompts using natural language with technical photography specifications. Extensible support for multiple art styles via reference files.

Design and implement visual regression testing for UI changes. Definesscreenshot coverage, rendering stabilization, baseline management, and CIintegration (e.g., Playwright screenshots, Percy/Chromatic). Use whenUI/styling/layout changes need protection against regressions, or when addingscreenshot-based tests to a web/WASM/desktop UI.

Troubleshoot ARC (Actions Runner Controller) runners on Rackspace Spot Kubernetes. Diagnose stuck jobs, scaling issues, and cluster access. Activates on "runner", "ARC", "stuck job", "queued", "GitHub Actions", or "CI stuck".

Use when animation needs musical flow—dance sequences, action choreography, comedic timing, scene pacing, or any motion that should feel rhythmic and well-composed over time.

Expert shell scripting and DevOps automation. Use when writing new shell scripts, debugging existing scripts, implementing CI/CD pipelines, or creating automation tooling. Produces robust, portable, production-grade shell scripts.

Generates clear, concise git commit messages in Japanese from staged changes. Use when the user asks to create a commit, write a commit message, or review staged changes for committing.

Automatically troubleshoot unexpected results OR command/script errors without user request. Triggers when: (1) unexpected behavior - command succeeded but expected effect didn't happen, missing expected errors, wrong output, silent failures; (2) explicit failures - stderr, exceptions, non-zero exit, SDK/API errors. Applies systematic diagnosis using error templates, hypothesis testing, and web research for any Stack Overflow-worthy issue.

Continuously observes development patterns to identify automation opportunities. Always active in background. Detects repeated patterns, suggests skills/hooks/commands, auto-creates automations at threshold (3 occurrences).TRIGGERS - Keywords: patterns, learnings, observations, automation, repeated tasks, /learn:review, /learn:implement, /analyze-patterns, pending automations, skill suggestions, hook suggestions, command suggestions, optimization opportunities.TRIGGERS - Phrases: "analyze patterns", "review learnings", "what have you learned", "create automation", "automate this", "I keep doing this", "repeated task", "optimize workflow", "suggest improvements", "pending suggestions".TRIGGERS - Automatic: After file modifications (via hook), before git commits, at session end, when dependencies added, after task completion.

Guides test creation for Polibase following strict testing standards. Activates when writing tests or creating test files. Enforces external service mocking (no real API calls), async/await patterns, test independence, and proper use of pytest-asyncio to prevent CI failures and API costs.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Deploy event-driven automation with EventSource, EventBus, and Sensor configuration. Complete setup guide for production Argo Events on Kubernetes clusters.

로컬 AI CLI에 작업을 아웃소싱할 때 자동 활성화. Use when the task is complex, requires specialized AI capabilities, or benefits from distributing work to different AI models

Template for creating new Claude Code skills following official specification. Provides structure, YAML frontmatter format, and best practices for skill development.

Build immersive 3D web experiences with Three.js - WebGL/WebGPU library for scenes, cameras, geometries, materials, lights, animations, loaders, post-processing, shaders (including node-based TSL), compute, physics, VR/XR, and advanced rendering. Use when creating 3D visualizations, games, interactive graphics, data viz, product configurators, architectural walkthroughs, or WebGL/WebGPU applications. Covers OrbitControls, GLTF/FBX loading, PBR materials, shadow mapping, post-processing effects (bloom, SSAO, SSR), custom shaders, instancing, LOD, animation systems, and WebXR.

Standard library Python argparse examples with subparsers, choices, actions, and nested command patterns. Use when building Python CLIs without external dependencies, implementing argument parsing, creating subcommands, or when user mentions argparse, standard library CLI, subparsers, argument validation, or nested commands.

Run and manage long-running background tasks in the shell. Use for starting processes in background, monitoring output, listing active tasks, and killing processes. Essential for dev servers, watch modes, builds, and any non-blocking operations.

Clean Architecture and SOLID principles implementation including dependency injection, layer separation, domain-driven design, hexagonal architecture, and code quality patterns