ask-questions-if-underspecified
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
Best use case
ask-questions-if-underspecified is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
Teams using ask-questions-if-underspecified should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ask-questions-if-underspecified/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ask-questions-if-underspecified Compares
| Feature / Agent | ask-questions-if-underspecified | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Ask Questions If Underspecified ## Goal Ask the minimum set of clarifying questions needed to avoid wrong work; do not start implementing until the must-have questions are answered (or the user explicitly approves proceeding with stated assumptions). ## Workflow ### 1) Decide whether the request is underspecified Treat a request as underspecified if after exploring how to perform the work, some or all of the following are not clear: - Define the objective (what should change vs stay the same) - Define "done" (acceptance criteria, examples, edge cases) - Define scope (which files/components/users are in/out) - Define constraints (compatibility, performance, style, deps, time) - Identify environment (language/runtime versions, OS, build/test runner) - Clarify safety/reversibility (data migration, rollout/rollback, risk) If multiple plausible interpretations exist, assume it is underspecified. ### 2) Ask must-have questions first (keep it small) Ask 1-5 questions in the first pass. Prefer questions that eliminate whole branches of work. Make questions easy to answer: - Optimize for scannability (short, numbered questions; avoid paragraphs) - Offer multiple-choice options when possible - Suggest reasonable defaults when appropriate (mark them clearly as the default/recommended choice; bold the recommended choice in the list, or if you present options in a code block, put a bold "Recommended" line immediately above the block and also tag defaults inside the block) - Include a fast-path response (e.g., reply `defaults` to accept all recommended/default choices) - Include a low-friction "not sure" option when helpful (e.g., "Not sure - use default") - Separate "Need to know" from "Nice to know" if that reduces friction - Structure options so the user can respond with compact decisions (e.g., `1b 2a 3c`); restate the chosen options in plain language to confirm ### 3) Pause before acting Until must-have answers arrive: - Do not run commands, edit files, or produce a detailed plan that depends on unknowns - Do perform a clearly labeled, low-risk discovery step only if it does not commit you to a direction (e.g., inspect repo structure, read relevant config files) If the user explicitly asks you to proceed without answers: - State your assumptions as a short numbered list - Ask for confirmation; proceed only after they confirm or correct them ### 4) Confirm interpretation, then proceed Once you have answers, restate the requirements in 1-3 sentences (including key constraints and what success looks like), then start work. ## Question Templates - "Before I start, I need: (1) ..., (2) ..., (3) .... If you don't care about (2), I will assume ...." - "Which of these should it be? A) ... B) ... C) ... (pick one)" - "What would you consider 'done'? For example: ..." - "Any constraints I must follow (versions, performance, style, deps)? If none, I will target the existing project defaults." - Use numbered questions with lettered options and a clear reply format ```text 1) Scope? a) Minimal change (default) b) Refactor while touching the area c) Not sure - use default 2) Compatibility target? a) Current project defaults (default) b) Also support older versions: <specify> c) Not sure - use default Reply with: defaults (or 1a 2a) ``` ## Anti-Patterns - Don't ask questions you can answer with a quick, low-risk discovery read (e.g., configs, existing patterns, docs). - Don't ask open-ended questions if a tight multiple-choice or yes/no would eliminate ambiguity faster.
Related Skills
asking-questions
Guidance for asking clarifying questions when user requests are ambiguous, have multiple valid approaches, or require critical decisions. Use when implementation choices exist that could significantly affect outcomes.
Answering Research Questions
Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.
azure-eventhub-dotnet
Azure Event Hubs SDK for .NET.
azure-eventgrid-py
Azure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.
azure-enterprise-governance
Enterprise-grade Azure governance, security, and compliance framework. Combines Microsoft Cloud Adoption Framework (CAF) naming standards with comprehensive security architecture (Zero Trust), compliance frameworks (NIST, SOC2, PCI-DSS, HIPAA), and best practices. Provides naming validation, security audits, RBAC design, and compliance checklists for production-ready Azure deployments.
azure-diagrams
Visualizes Azure infrastructure from ARM templates, Azure CLI, or descriptions. Use when user has Azure resources to diagram.
azure-diagnostics
Debug and troubleshoot production issues on Azure. Covers Container Apps and Function Apps diagnostics, log analysis with KQL, health checks, and common issue resolution for image pulls, cold starts, health probes, and function invocation failures. USE FOR: debug production issues, troubleshoot container apps, troubleshoot function apps, troubleshoot Azure Functions, analyze logs with KQL, fix image pull failures, resolve cold start issues, investigate health probe failures, check resource health, view application logs, find root cause of errors, function app not working, function invocation failures DO NOT USE FOR: deploying applications (use azure-deploy), creating new resources (use azure-prepare), setting up monitoring (use azure-observability), cost optimization (use azure-cost-optimization)
azure-devops
Complete Azure DevOps automation - boards, repos, pipelines, artifacts
azure-deployment
Deploys applications to Azure using Azure Dev CLI, Bicep infrastructure as code, and GitHub Actions CI/CD. Use this skill when asked to deploy to Azure, create infrastructure, set up CI/CD, configure Azure resources, or create deployment pipelines.
azure-deploy
Deploy applications to Azure App Service, Azure Functions, and Static Web Apps. Analyzes projects to recommend services, provides local preview, and guides deployment. Use phrases like "what Azure service should I use", "analyze my project for Azure", "preview locally", "guide me through deployment".
azure-data-api-builder
Deploy Data API Builder (DAB) to Azure Container Apps with Azure SQL, Azure Container Registry (ACR), and Azure Developer CLI (azd). Produces Bicep templates, Dockerfile, and azure.yaml. Use when asked to deploy DAB to Azure, create Bicep for DAB, or set up cloud API hosting.