ask-user-questions-mcp

The ask-user-questions-mcp skill is a powerful automation tool designed to enhance the interaction between your large language models (LLMs) and users. This lightweight MCP server/OpenCode plugin, along with a command-line interface (CLI) tool, allows LLMs to pose questions in a dedicated space, improving user engagement and experience. With features like queueing and rejection support, this skill ensures a seamless and organized way to manage user queries, making it easier to gather necessary information without overwhelming the user. One of the key benefits of using ask-user-questions-mcp is its ability to streamline the process of user interaction, ultimately saving time for developers and product managers. By providing a clean and efficient terminal user experience, this skill allows teams to focus on building and refining their AI automation workflows rather than getting bogged down in user management. Although the exact time savings are not quantified, the reduction in user query mismanagement and improved clarity can lead to significant efficiency gains in project timelines. This skill is particularly valuable for developers, product managers, and AI practitioners who are looking to integrate AI automation into their workflows. It is suitable for teams that need to gather user feedback or data in a structured manner, making it a great fit for departments focused on product development, user experience, and research. For instance, a product team could use this skill to gather insights during beta testing phases, allowing them to refine features based on direct user input. With an intermediate implementation difficulty and a time commitment of approximately 30 minutes, the ask-user-questions-mcp skill is accessible for teams looking to enhance their AI-first workflows. It requires basic familiarity with CLI tools and an understanding of integrating plugins into existing systems. By adopting this skill, teams can elevate their AI capabilities, ensuring that user interactions are not only efficient but also contribute to the overall success of their AI-driven projects.

["Install the AskUserQuestion MCP tool or plugin (e.g., via `pip install ask-user-questions-mcp` or as an OpenCode plugin).","In your LLM workflow, trigger the tool when you encounter ambiguity or need user input (e.g., `await ask_user_question(\"Should we prioritize cost or speed for this optimization?\")`).","The tool will open a dedicated terminal window/pane with a clear prompt. Type your response directly in this space.","Once you submit your answer, the tool returns the input to the LLM, which resumes processing with the new information.","For batch workflows, use the queueing/rejection feature to manage multiple questions (e.g., `ask_user_question(\"Question 1\", queue=True)`). Reject questions you deem unnecessary by responding with `REJECT` in the terminal pane."]