clarify-task

name	clarify-task
description	Ask clarifying questions before implementing to ensure Python requirements are understood. Use when a task lacks detail, dependencies are unclear, or multiple interpretations are possible.
license	MIT
compatibility	claude cursor opencode
metadata	{"version":"1.0.0","languages":"all","audience":"developers","workflow":"planning","since":"2026-02-25"}

Clarify Task

Before implementing any Python work, pause and gather context so the solution matches what’s really needed.

Steps

1. Ask focused questions

   • Data flow, inputs/outputs, and architecture (async vs sync, service vs script)
   • API contracts, dependencies, and integrations
   • Authentication, authorization, and configuration expectations
   • Edge cases, error handling, and rollback requirements
   • UX/CLI expectations if applicable (prompts, flags, logging)

2. Restate the requirements

   • Summarize your understanding in plain language
   • Confirm the desired behavior, inputs, and success criteria

3. Confirm before moving forward

   • Once you have enough context, ask if you can proceed with planning or implementation
   • If questions remain, repeat steps 1–2 until confident

Tools

• Use the AskQuestion tool to present multiple-choice clarifications when the extra structure helps.
• Keep responses brief and focused; avoid assumptions about unrelated components.