ask-questions

Standardize interactive user questioning for AI agents across Claude Code, Codex, and Cursor runtimes.

30|1|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/Codagent-AI/agent-skills --skill ask-questions-codagent-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ask-questions
Source: https://github.com/Codagent-AI/agent-skills/tree/main/skills/ask-questions
Command: npx skills add https://github.com/Codagent-AI/agent-skills --skill ask-questions-codagent-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agents often ask unclear, poorly timed, or overwhelming questions that waste user time, lead to incorrect assumptions, and derail development workflows. This skill standardizes interactive questioning to ensure agents collect the right information efficiently without frustrating users.

Core Features & Use Cases

  • Runtime Tool Selection: Guides agents to use the correct runtime-specific input tool (e.g., Claude's ask_followup_question, Codex's request_user_input) or fall back to plain chat for interactive sessions.
  • Batching & Serial Logic: Groups independent questions to reduce round-trips, and enforces one-question-at-a-time for branching decisions that depend on prior answers.
  • Quality Guardrails: Prevents asking discoverable questions, eliminates low-impact implementation detail queries, and surfaces agent-owned assumptions at approval gates.
  • Use Case: When a planning skill needs to clarify feature requirements, use this skill to batch independent questions about validation rules and optional fields, then ask serial approval questions one at a time to avoid overwhelming the user.

Quick Start

Use the ask-questions skill to collect the missing requirements for the new user onboarding flow from the user.

Frequently Asked Questions about ask-questions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stop my AI agent from asking too many irrelevant questions during a workflow?

To stop AI agents from asking irrelevant questions, apply quality guardrails that filter out discoverable information and low-impact implementation details, ensuring only load-bearing, context-rich questions are asked.

When should an interactive workflow batch user questions versus ask them serially?

Batch independent user questions to reduce round-trips in an interactive workflow, but enforce serial questioning for branching decisions that depend on prior answers.

Does agent interaction tool selection differ between Claude Code, Codex, and Cursor runtimes?

Agent interaction tool selection differs by runtime, guiding agents to use Claude's ask_followup_question, Codex's request_user_input, or fallback to plain chat across runtimes.

What is the best way to clarify feature requirements without overwhelming the user?

The best way to clarify feature requirements without overwhelming the user is standardizing interactive questioning to group independent queries and surface agent-owned assumptions only at approval gates.

How do I request missing input from a user during an agent-driven development task?

Request missing input during agent-driven development tasks by using runtime-specific input tools and applying quality guardrails to prevent poorly timed queries that derail workflows.

Why does my AI agent make incorrect assumptions instead of pausing for user decisions?

AI agents make incorrect assumptions instead of pausing for user decisions when interactive questioning lacks standardization, failing to enforce approval gates for surfacing agent-owned assumptions.