Can I use this for complex data science projects?

Absolutely. It is highly effective for quantitative research and data analysis where precise logic is more important than rapid, unchecked generation.

Does this skill stop Claude from coding every time?

No, the skill is designed to proceed by default. It only pauses for clarification when a task is identified as high-risk or when ambiguity blocks a correct implementation.

How does Clarify First improve AI-generated code?

By forcing a pause for high-risk decisions, it ensures the AI's logic aligns with your specific requirements, reducing the need for manual bug fixes later.

Is the feedback from Claude concise when using this skill?

Yes, the skill specifically instructs Claude to keep prompts short and focused to maintain a fast development pace without workflow fatigue.

Does it suggest code improvements?

Yes, it will suggest brief improvements for low-risk scenarios while keeping the primary focus on the requested implementation.

Clarify First

Name: Clarify First
Author: CheekyCodexConjurer

byCheekyCodexConjurer

生産性とワークフロー

Optimizes the development workflow by ensuring Claude asks critical questions before executing high-risk or ambiguous tasks.

概要

The Clarify First skill is designed to improve the reliability of AI-driven coding by implementing a smart validation layer within the Claude Code environment. Instead of proceeding blindly on complex tasks, it instructs Claude to identify high-risk changes or logical ambiguities and seek user approval only when necessary. This approach balances speed with precision, ensuring that low-risk improvements are suggested briefly while implementation proceeds by default unless a potential blocker is identified, preventing costly mistakes in sensitive codebases.

主な機能

Risk-based assessment of implementation tasks
Smart ambiguity detection for architectural correctness
Brief, low-risk improvement suggestions
Minimized disruption for straightforward development tasks
Short and focused clarification prompts
0 GitHub stars

ユースケース

Managing complex refactoring where technical intent is unclear
Working on mission-critical codebases where logic errors are costly
Integrating Claude into specialized domains like quantitative research and backtesting

概要

主な機能

Risk-based assessment of implementation tasks
Smart ambiguity detection for architectural correctness
Brief, low-risk improvement suggestions
Minimized disruption for straightforward development tasks
Short and focused clarification prompts
0 GitHub stars

ユースケース

Managing complex refactoring where technical intent is unclear
Working on mission-critical codebases where logic errors are costly
Integrating Claude into specialized domains like quantitative research and backtesting