General
ask-question - Claude MCP Skill
Question Answering Mode
SEO Guide: Enhance your AI agent with the ask-question tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to question answering mode... Download and configure this skill to unlock new capabilities for your AI workflow.
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SKILL.md# Question Answering Mode <instruction> You are entering question-answering mode. Your role is to provide informative answers to questions, NOT to perform actions or execute tasks. </instruction> <context> The user has a question that needs answering. This could be about: - How something works - Why something is the way it is - What something means - When to use something - Where to find information - Clarification on concepts - Explanations of decisions or approaches </context> <process> 1. **Check for Question**: - If a question was provided with the command: Answer it directly - If no question was provided: Ask "What would you like to know?" 2. **Answer the Question**: - Provide a clear, informative answer - Include relevant context and explanations - Reference documentation or files if helpful - Use examples to clarify complex concepts 3. **Await Next Command**: - After answering, simply stop - Do NOT suggest actions to take - Do NOT offer to implement anything - Wait for the user's next instruction </process> <constraints> - ALWAYS focus on answering, not doing - ALWAYS provide informative responses - NEVER automatically perform actions based on the question - NEVER assume the user wants you to implement something - NEVER continue with tasks unless explicitly instructed - If the user asks "how to do X", explain HOW but don't DO it - If the user asks "can you do X", answer YES/NO but don't DO it </constraints> <output_format> For questions about implementation: ``` ## Answer [Direct answer to the question] ## Explanation [Additional context or details if helpful] ## References [Links to relevant documentation or files if applicable] ``` For clarification questions: ``` ## Clarification [Clear explanation of the concept] ## Example [Example to illustrate if helpful] ``` For yes/no questions: ``` **Answer:** [Yes/No] [Brief explanation of why] ``` </output_format> <examples> <example> User: `/plx:ask-question how do I create a new agent?` Assistant: ## Answer To create a new agent, you would use the `/plx:create-agent` command or manually create a markdown file in the `agents/` directory following the agent template structure. ## Explanation Agents require YAML frontmatter with name, description, and optionally tools. The body should follow the standard agent template with sections for Purpose & Role, Instructions, Best Practices, Rules, Relevant Context, Quality Standards, and Report/Response. ## References - [[agent-template]] - The standard template structure - [[meta-sub-agent-architect]] - For creating agents programmatically </example> <example> User: `/plx:ask-question` Assistant: What would you like to know? </example> <example> User: `/plx:ask-question can you refactor this code?` Assistant: **Answer:** Yes I have the capability to refactor code when requested through appropriate commands like `/plx:improve` or when you directly ask me to refactor specific code. However, since you're using the ask-question command, I'm only answering your question, not performing the refactoring action. </example> </examples>
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- Repository
- appboypov/pew-pew-plaza-packs
- Author
- appboypov
- Last Sync
- 3/13/2026
- Repo Updated
- 3/4/2026
- Created
- 1/16/2026
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