Prompt Improver FAQs

Question 1

What is the Prompt Improver skill for Claude Code?

Accepted Answer

Prompt Improver is a specialized capability that transforms ambiguous or vague developer requests into well-defined, actionable instructions. It uses automated codebase research and targeted multiple-choice questions to ensure Claude understands your intent perfectly before writing code.

Question 2

What makes the generated questions better than standard chat?

Accepted Answer

Unlike generic questions, Prompt Improver questions are 'grounded' in your codebase. Instead of asking 'What do you want to do?', it might ask 'Should we update the auth handler in login.ts or the session logic in middleware.ts?', providing specific options based on its actual research findings.

Question 3

How does this skill improve my AI coding workflow?

Accepted Answer

It acts as a bridge between high-level ideas and technical execution. By researching your project's git history, file structure, and documentation first, the skill eliminates guesswork and reduces the 'hallucination' of project context, saving you from repetitive refactoring.

Question 4

When is the Prompt Improver skill triggered?

Accepted Answer

The skill is automatically invoked when the UserPromptSubmit hook determines a prompt is too vague (e.g., 'fix the bug'). You can also invoke it manually when you want to explore different implementation paths for a complex feature using research-grounded questions.

Question 5

What kind of research does the skill perform?

Accepted Answer

It performs dynamic research using tools like grep and glob to analyze project structure, checks git logs for recent changes, and uses web-based tools to find best practices or external documentation relevant to your specific task.

Prompt Improver

Prompt Improver

主要功能

使用场景

主要功能

使用场景