What is the primary purpose of the OpenSpec Proposal Clarifier?

It acts as a pre-processing step for feature requests, ensuring that all technical and functional questions are answered before you commit time to writing a full proposal.

When should I trigger this skill?

You should use it when a requirement is ambiguous, when planning major architectural changes, or as a mandatory check before running the /openspec-proposal command.

Does this skill support languages other than English?

While it can process English technical terms, the skill is specifically optimized to provide responses in Chinese for better context in certain development environments.

What dimensions of a requirement does it analyze?

It evaluates functional requirements, user experience, edge cases, integration points, data needs, performance, security, and backward compatibility.

OpenSpec Proposal Clarifier

Name: OpenSpec Proposal Clarifier
Author: cyber-echo

bycyber-echo

0•

Productivity & Workflow

Analyzes and clarifies ambiguous software requirements to ensure comprehensive and actionable OpenSpec proposals.

This skill acts as a specialized Requirements Analyst for Claude, designed to systematically identify ambiguities, missing edge cases, and technical gaps in feature requests before they are formally drafted into OpenSpec proposals. By generating structured questions and highlighting hidden complexities across functional, architectural, and security dimensions, it ensures that developers have a clear roadmap and minimizes costly mid-development changes. It is particularly effective for high-uncertainty tasks like performance refactoring, architectural shifts, and complex feature additions.

Key Features

01Systematic identification of requirement ambiguities and functional gaps

02Structured clarification reports with logical categorization

03Seamless integration with the /openspec-proposal command workflow

04Multi-dimensional evaluation covering UX, performance, security, and edge cases

05Pre-proposal assumption verification to prevent implementation errors

060 GitHub stars

Use Cases

01Refining vague feature requests before starting formal technical documentation

02Conducting a 'gap analysis' on existing proposals to identify missing technical details

03Bridging the gap between high-level business goals and low-level technical specifications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cyber-echo/viewer openspec-proposal-clarifier

For use in Claude.ai and ChatGPT

Download Skill