單元測試

Develop and balance game mechanics for CryptoTribes - battles, territories, units, tribes, resources, and real-time systems. Use when implementing gameplay features, balancing formulas, testing game logic, or working with MongoDB schemas. Triggers on "game logic", "battle system", "balance", "territories", "units", "tribes".

Homeostatic actuator that tags code, tests, and commits with REQ-* keys for traceability. Adds "# Implements:" tags to code and "# Validates:" tags to tests. Use when code or tests are missing requirement tags.

GSAP animation best practices for web design - scroll triggers, performance optimization, accessibility, responsive animations, and testing integration. Use when implementing or reviewing animations on WordPress or any web project.

Verify that implemented code meets acceptance criteria from user stories. Use when validating story completion - performs code inspection, test execution, and manual checks against each AC criterion.

Set up synthetic monitoring with Lighthouse CI and Playwright. Use when implementing automated performance testing, CI/CD performance gates, or proactive monitoring.

Use when reviewing code or PRs in the llama-stack repository (llamastack/llama-stack on GitHub). Provides specialized knowledge about Llama Stack's architecture, testing patterns (recordings folders), backward compatibility requirements, distributed system considerations, and code review focus areas specific to this project.

Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.

Guides writing Vitest tests for Chrome extension code. Use when creating tests, improving coverage, or testing Vue components, content scripts, or Chrome APIs.

Comprehensive security engineering skill for application security, penetration testing, security architecture, and compliance auditing. Includes security assessment tools, threat modeling, crypto implementation, and security automation. Use when designing security architecture, conducting penetration tests, implementing cryptography, or performing security audits.

Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.

Generate realistic fake content for HTML prototypes. Use when populating pages with sample text, products, testimonials, or other content. NOT generic lorem ipsum.

Write and run JavaScript/TypeScript tests using Vitest or Jest with mocking, component testing, and coverage. Use when writing JS/TS tests, testing Svelte/React components, or setting up test configuration.

Executes git commands (fetch, rebase, commit, merge, push) following worktree workflow, then monitors ALL resulting deployments with temporal boundaries and cascade detection. After git push, monitors all workflows from the last 5 minutes including cascading workflows (e.g., Test → Deploy chains). Automatically tracks multiple parallel workflows and waits for triggered workflows. Use /devops-check for comprehensive monitoring with automatic fixing. All deployments are triggered by git push, not manual AWS CLI commands.

Use when designing tests, implementing test cases, running tests, analyzing test coverage, or fixing test failures. Apply when user mentions testing, test cases, TDD, coverage, or asks to run tests. Use proactively after implementation is complete to ensure adequate test coverage.

Guide experienced developers through TDD failure scenarios and recovery procedures when tests behave unexpectedly

A skill for generating and seeding realistic test data into a database. Use this skill for tasks related to database seeding, test data generation, and populating a database for development, testing, or demo purposes. It supports idempotent seeding, relationship data generation (e.g., users and their tasks), and environment-specific data sets (dev, test, demo). Triggers: "seed database", "generate test data", "populate db", "database seeding".

Run Python code in lesson context with proper uv and venv handling for agent-spike project. Activate when user wants to run tests, demos, or CLI commands for lessons in lessons/ directories. Project-specific for agent-spike multi-agent learning.

Comprehensive Python data engineering patterns for AWS Data Lake, including PySpark, Pandas, Apache Airflow, AWS Glue, ETL pipelines, data quality, schema management, performance optimization, FastAPI services, streaming with Kafka/Kinesis, data validation with Great Expectations, testing strategies, error handling, logging, and production deployment on AWS EMR and Glue.

Post-deployment validation and health check scripts for validating HTTP endpoints, APIs, MCP servers, SSL/TLS certificates, and performance metrics. Use when deploying applications, validating deployments, testing endpoints, checking SSL certificates, running performance tests, or when user mentions health checks, deployment validation, endpoint testing, performance testing, or uptime monitoring.

Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel