Skill UI

Automates Moco workflows through the Composio toolkit via the Rube MCP interface, encouraging discovery, connection validation, and schema-compliant tool execution.

This skill integrates multiple digital health sources (such as Apple Health, Fitbit, Oura, and CSV/JSON files) into a unified system. It processes, standardizes, and validates diverse health data formats, and connects this data to a dedicated knowledge base (WellAlly.tech). It provides intelligent recommendations and article retrieval based on the user's current health context and needs.

A Socratic mentoring workflow that coaches junior developers and AI newcomers through questions, encouraging reflection, Copilot-assisted loops, and safe learning practices without handing out solutions.

This utility serves as a Command Line Interface (CLI) alias for specialized AI code models, specifically mapping to the Claude Code `/pua:yes` command structure. It facilitates structured code generation or interaction by adopting a specific 'yes skill' protocol. It ensures that while switching to an encouragement-first narration, the system maintains strict verification red lines and handles configuration file updates while preserving unknown fields. Ideal for developers needing consistent, protocol-driven AI code assistance.

A comprehensive guide to designing effective free tiers, freemium models, and free trials for developer tools. It teaches how to create usage limits and feature gates that encourage natural conversion to paid plans without causing developer resentment or hindering initial adoption.

This helper tool is designed to assist with a wide variety of tasks and needs. It encourages users to use their own judgment and judgment to handle diverse prompts, making it a flexible and adaptable resource for general problem-solving scenarios. Ideal for brainstorming, general queries, and initial exploration.

This guide assists authors planning to submit to Games and Economic Behavior (GEB) by detailing best practices for data and code sharing. It clarifies that while data deposition is strongly encouraged for reproducibility, it is not a mandatory requirement. It outlines what to prepare, including raw data, analysis scripts, experimental instructions, and proper availability statements.

A comprehensive guide for preparing the data, code, and materials transparency posture when submitting a manuscript to Social Psychology Quarterly (SPQ). It clarifies the journal's guidelines (encouraged, not required) regarding data sharing, covering both quantitative and qualitative research methods while strictly adhering to ethical considerations and ASA norms.