Transform Chaos to Clarity: AI Skill for Precise Specs

Transform Chaos to Clarity: AI Skill for Precise Specs

This AI skill assists in converting vague, emotional, and fragmented feedback, mainly in the form of screenshots or complaints, into structured specifications and acceptance criteria. It is specifically designed to streamline the clarification of requirements by extracting relevant information and applying a systematic approach to generate clear, technical specifications from raw input.

What this skill does

• Perceive Phase:
  • Information Extraction: Thoroughly reads user inputs and inspects attached screenshots or logs. It filters out emotional language and identifies the actual facts and user expectations.
  • Identify System Boundaries: Determines the scope and technical aspects affected by the feedback, including aspects such as frontend rendering, network APIs, database states, and permission groups.
• Reason Phase:
  • Load Analysis Framework: Utilizes the 5W1H framework to analyze the feedback. This includes mapping extracted facts to questions of Who, Where, When, What, Why, and How.
  • Context Reconstruction: Formulates logical hypotheses regarding the root cause of observed system behaviors.
  • Identify Gaps: Highlights any critical missing information necessary for full context, such as browser environment details.

Who it is for

This skill is ideal for developers and software teams who utilize AI coding agents like Claude Code, Cursor, and Codex. It supports professionals who require precision in converting user feedback into technical specifications.

Use cases

• Clarifying vague or emotionally charged user feedback into structured and actionable technical requirements.
• Identifying system boundaries related to specific issues described in user complaints.
• Formulating clear acceptance criteria for project management teams from fragmented user reports.

Technical details

• Compatible with AI applications such as Claude Code, Cursor, and Codex capabilities.
• Employs tools like agy-cli and aiapplication for implementation.
• Incorporates the neo-clarification approach, leveraging the Inversion & Generator Pattern to achieve its objectives.

Source & Licence

This package is built on open-source work published by Benknightdark (Benknightdark/neo-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.