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Use when you need to document E2E test cases for a feature or bug fix that can't be covered by unit or integration tests alone. Auto-detects ticket from branch name. Reuses codebase context from /plan if already run; falls back to git diff + explorer when invoked standalone. Outputs to a markdown file by default.

Comprehensive reference for LINE Front-end Framework (LIFF) SDK — building web apps inside LINE with authentication, messaging, QR scanning, permanent links, pluggable SDK, and LIFF plugin development. This skill should be used when the user asks to "build a LIFF app", "initialize liff.init()", "send messages from LIFF", "use Share Target Picker", "scan a QR code in LIFF", "create a permanent link

Comprehensive reference for LINE Login (OAuth 2.1) — authorization code flow, PKCE, token management, ID token JWT verification, user profiles, bot linking, and login button design. This skill should be used when the user asks to "implement LINE Login", "add Log in with LINE", "set up OAuth authorization flow", "verify an ID token", "refresh an access token", "link a bot to login", "design a login

Comprehensive reference for LINE MINI App — Service Messages, Common Profile Quick Fill, In-App Purchase, Console setup (3 internal channels), submission review, and performance guidelines for web apps running inside LINE as an enhanced LIFF platform. This skill should be used when the user asks to "build a LINE MINI App", "send a service message", "set up Common Profile Quick Fill", "implement in

Reference for LINE Notification Messages — phone-number-based messaging to non-friends, template type (premade layouts) and flexible type (custom Flex Message), delivery completion webhooks, user consent flow, SMS authentication, and billing. Use when the user asks to "send a notification message via phone number", "hash a phone number for PNP", "handle delivery completion webhook", "set up templa

Comprehensive reference for LINE Messaging API — webhook setup, message sending, Flex Message design, Rich Menu management, audience targeting, insights, coupons, and channel access tokens. This skill should be used when the user asks to "build a LINE Bot", "set up a webhook", "send a push message", "design a Flex Message", "create a Rich Menu", "manage audience targeting", "get messaging insights

Debug common ML training issues (NaN loss, OOM, slow training, convergence problems) and provide solutions. Use when training fails, metrics don't improve, or encountering errors like NaN loss, CUDA OOM, or slow convergence.

Comprehensive guide for PyTorch Lightning - LightningModule, Trainer, distributed training, PyTorch 2.0 torch.compile integration, Lightning Fabric, and production best practices

Run comprehensive code quality checks with ruff (format, lint) and ty (type checking). Use when checking code quality, fixing linting errors, or ensuring code follows best practices before commits or PRs.

Profile ML training performance to identify bottlenecks (data loading, compute, memory usage) and optimize GPU utilization. Use when training is slow, GPU utilization is low, or experiencing memory issues.

Run adversarial audit pipeline against shipped code

Query, browse, and manage the project capability index