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Streamlines Superchat operations via Composio’s Rube MCP toolkit by enforcing tooling discovery, connection validation, and schema-compliant execution steps for reliable automation workflows.

Automates Supportbee workflows via Composio’s Supportbee toolkit and Rube MCP, guiding users through tool discovery, connection validation, schema-compliant arguments, and memory-aware multi-tool execution before running operations.

Automated guidance for Teams Webhook Sender scenarios within business automation, offering best-practice patterns, ready-to-use configurations, and validation steps for workflow, email, spreadsheet, and process optimization tasks.

Automates Telnyx workflows via Composio's Rube MCP bridge, guiding users through tool discovery, connection validation, and schema-driven multi-tool executions before running commands.

This skill provides comprehensive, structured guidance for testing Temporal workflows written in Python. It covers best practices for unit testing (using time-skipping), integration testing (mocking dependencies), and determinism validation through replay testing. Ideal for ensuring high code coverage and robust CI/CD pipelines for complex asynchronous workflows.

Auto-activating skill that guides tensorflow model trainer workflows, covering data preparation, model training, hyperparameter tuning, and experiment tracking with production-ready code and standards validation.

Automates TensorFlow SavedModel deployment support with step-by-step guidance, best-practice patterns, production-ready code/config generation, and validation for serving, monitoring, and optimization scenarios.

Guides TensorFlow Serving setup with step-by-step ML deployment orchestration, enforcing best practices, ready-to-run configurations, and output validation for production inference services.

Automates terraform module creation within the DevOps Advanced workflow, guiding through best practices, patterns, and production-ready code plus validations.

Execute end-to-end automated testing for mobile applications across both iOS and Android platforms. This skill simulates real user interactions, covering UI flows, gestures (swipe, pinch), form validation, and platform-specific behaviors (e.g., Safe Area handling, Android back button logic). It supports industry-standard frameworks like Appium, Detox, and Maestro, making it essential for ensuring cross-platform quality assurance and robust CI/CD pipelines.

Automates threat modeling guidance within Security Advanced: step-by-step best practices, compliance-ready code, and validation for enterprise security workflows.

A comprehensive framework guiding feature planning and implementation through adaptive phases: Specify, Design, Tasks, and Execute. It enforces highly structured development practices by using EARS notation, atomic tasks, deterministic Conventional Commits, and mandatory code validation scripts. Features include requirement traceability, automatic verification, and a self-improving lessons layer, ensuring quality and compliance throughout the lifecycle.