clarification-control

Evaluate a PM response against a requirement gap and output resolved, clarification, or deferred.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/wlee075/chatbot --skill clarification-control
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clarification-control
Source: https://github.com/wlee075/chatbot/tree/main/skills/clarification_control
Command: npx skills add https://github.com/wlee075/chatbot --skill clarification-control

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Evaluates a PM response against a single requirement gap and determines whether it is resolved, needs clarification, or should be deferred.

Core Features & Use Cases

  • Handles a focused, single-gap clarification workflow for product requirements.
  • Enforces a max-attempts policy and provides a fixed-resolution path for deferred clarifications.
  • Supports deterministic outputs that engineers can act on without follow-up questions.

Quick Start

Provide a concise clarifying prompt to the PM and return a definite decision for the gap.

Frequently Asked Questions about clarification-control

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate whether a product requirement gap is resolved or needs clarification?

To validate a product requirement gap, you evaluate the PM response against that single gap to output a deterministic decision: resolved, requires clarification, or deferred. This enforces a rigorous resolution standard for product requirements.

What is the best way to automate clarification workflows for product management?

Automating clarification workflows involves applying a three-output decision flow to each requirement gap. The system evaluates PM responses, enforces max-attempts fallback policies, and outputs actionable deterministic decisions without follow-up questions.

How does a max-attempts fallback policy work for deferred product clarifications?

A max-attempts fallback policy for deferred clarifications automatically triggers a fixed-resolution path after multiple failed attempts to resolve a requirement gap. This ensures deferred product decisions are finalized rather than left open.

Can I use predefined system prompt blocks for decision normalization in requirement reviews?

You can use predefined CONFIRMATION_RULE_BLOCK structures to normalize decision outputs during requirement reviews. This enforces deterministic outputs, ensuring engineers receive actionable resolutions without needing follow-up questions.

Do I need to evaluate each requirement gap individually for product requirements reviews?

Evaluating each requirement gap individually is required for accurate product requirements reviews. This focused, single-gap clarification workflow ensures a rigorous resolution standard is applied before moving to the next item.

What happens when a PM response fails the clarification workflow validation?

When a PM response fails clarification validation, the workflow returns a decision requiring further clarification or deferral. It enforces a max-attempts policy and provides a fixed-resolution path to prevent endless revision loops.