clarify-task

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.

SKILL.md

GitHub

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.