What does the clarify_first skill do?

It forces Claude to pause, identify ambiguities, and seek your explicit approval before it begins writing or modifying any code.

Can I use this skill for architectural planning?

Absolutely. It is specifically designed to facilitate the discussion phase of software development, making it perfect for planning complex features.

Will this skill suggest better ways to write code?

Yes, part of the skill's workflow includes suggesting improvements or optimizations to your initial request before implementation.

Does it work with Full Auth mode?

The skill is designed to ask for approval by default, though specific environment permissions like Full Auth may influence its final implementation behavior.

How does this improve the coding workflow?

It reduces the likelihood of incorrect implementations and wasted tokens by ensuring the AI and developer are aligned on the goal before work starts.

Requirement Clarifier

Name: Requirement Clarifier
Author: CheekyCodexConjurer

byCheekyCodexConjurer

Productivity & Workflow

Prevents implementation errors by mandating requirement validation and optimization approval before any code is generated.

About

The Requirement Clarifier (clarify_first) skill acts as a strategic gatekeeper for your development workflow, ensuring Claude fully understands your technical requirements before beginning execution. By forcing a dialogue to identify ambiguities and suggest architectural optimizations, it eliminates the trial-and-error common in AI-assisted coding. This skill is essential for maintaining high-quality codebases, as it ensures that every implementation step is vetted and approved, saving time and preventing costly refactors.

Key Features

0 GitHub stars
Automatic ambiguity detection in user prompts
Proactive architectural and performance optimization suggestions
Mandatory approval gating before code modification
Streamlined communication to minimize token overhead
Validation of implementation intent against project constraints

Use Cases

Reducing errors when working in high-stakes production environments
Planning new features requiring explicit architectural alignment
Managing complex refactors where implementation intent is ambiguous

About

Key Features

0 GitHub stars
Automatic ambiguity detection in user prompts
Proactive architectural and performance optimization suggestions
Mandatory approval gating before code modification
Streamlined communication to minimize token overhead
Validation of implementation intent against project constraints

Use Cases

Reducing errors when working in high-stakes production environments
Planning new features requiring explicit architectural alignment
Managing complex refactors where implementation intent is ambiguous