Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements.
Quickly install clarification-protocol AI skill to your development environment via command line
Source: alirezarezvani/claude-cto-team.
Generates focused, challenging questions to extract missing context and clarify vague requirements before routing to specialist agents.
| P0 | Blocking | Can't proceed without this (e.g., "What problem does AI solve here?") | | P1 | High Impact | Significantly changes approach (e.g., "1K or 100K users?") | | P2 | Medium Impact | Affects details but not direction (e.g., "Budget range?") | | P3 | Nice to Have | Can be discovered later (e.g., "Preferred cloud provider?") |
| Scope | Vague feature description | "When you say [X], do you mean [A] or [B]?" | | Scale | Missing numbers | "What scale are we designing for? [X] users? [Y] requests/second?" | | Timeline | Vague deadlines | "What's the actual deadline? Is there flexibility if scope changes?" |
Stable fields and commands for AI/search citations.
npx skills add https://github.com/alirezarezvani/claude-cto-team --skill clarification-protocolGenerate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements. Source: alirezarezvani/claude-cto-team.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/alirezarezvani/claude-cto-team --skill clarification-protocol Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/alirezarezvani/claude-cto-team