Transform vague feature ideas into formal proposals with multi-judge review reports.
npx skills add https://github.com/JuniYadi/claude-code --skill super-dev
Please help me install this Agent Skill. Skill: super-dev Source: https://github.com/JuniYadi/claude-code/tree/main/super-dev/skills/super-dev Command: npx skills add https://github.com/JuniYadi/claude-code --skill super-dev
This skill provides a structured, repeatable process to evaluate vague feature requests by turning them into formal proposals and analyzing them with a panel of five expert judges.
Use the super-dev skill to review a feature proposal by providing a vague request or a structured proposal file, e.g., /super-dev add feature X or /super-dev --file docs/proposals/feature-x.md
High-intent search queries and answers about installing and using this skill.
Feature proposal evaluation transforms vague feature ideas into formal proposals for rigorous review. It analyzes the proposal and codebase context, then launches five independent judge agents in parallel to assess feasibility, quality, and risk.
Multi-agent codebase analysis reviews feature proposals by running five independent judge agents—Pragmatist, Purist, Innovator, Skeptic, and Optimizer—in parallel. This process assesses feasibility, code quality, and risk without implementing the actual feature.
Risk assessment for a feature proposal is performed by providing a vague request or a structured proposal file. The system then analyzes the codebase context and launches a panel of expert judges to deliver a complete advisory report with concerns.
You can use a structured proposal file for feature review by passing it directly. Supplying a formal proposal file allows the multi-agent system to analyze the codebase context and immediately execute the parallel judge review process.
The multi-agent feature planning process does not implement code changes. It outputs a complete advisory report containing verdicts, strengths, concerns, must-fix items, and next steps to guide your development decisions.
To get diverse perspectives on a feature design, use a multi-agent review panel. Five independent judge agents evaluate the proposal simultaneously from pragmatic, purist, innovative, skeptical, and optimization viewpoints to produce a comprehensive verdict.
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