How does the Confidenz (CZ) score work?

The CZ score measures the AI's confidence in its understanding of your request, using color-coded labels (green, yellow, red) to help you identify which parts of the plan need more human oversight.

Can I bypass the clarification questions?

Yes, the 'Accept All Recommended' feature allows you to skip the individual survey questions and proceed immediately using the AI's best-guess defaults.

What is the role of the Research Agent in Inference Planz?

The Research Agent performs deep analysis on the initial prompt to identify intent, assumptions, key unknowns, and potential risks before any planning begins.

What kind of output does the Plan Agent provide?

It generates a detailed roadmap featuring milestones, task breakdowns, interface contracts, data structures, and a dedicated test plan.

Inference Planz

Name: Inference Planz
Author: BLERBZ

byBLERBZ

생산성 및 워크플로

Coordinates a multi-agent intelligence workflow to transform vague user prompts into structured, production-grade implementation plans.

소개

Inference Planz is an advanced multi-agent capability designed to solve the problem of ambiguous requirements in software development. By orchestrating specialized Research, Survey, and Plan agents, this skill systematically analyzes user intent, identifies critical unknowns, and gathers interactive feedback using a unique 'Confidenz' (CZ) scoring system. It eliminates guesswork by presenting users with intelligent multiple-choice clarifications and 'Accept All Recommended' defaults, ultimately producing a comprehensive roadmap complete with milestones, data structures, and failure recovery strategies.

주요 기능

Automated 'Accept All Recommended' workflow for rapid project initialization
Interactive UI-based surveys using the AskUserQuestion tool for requirement clarification
0 GitHub stars
Confidenz (CZ) scoring to indicate AI certainty levels and highlight high-risk assumptions
Multi-agent orchestration involving Research, Survey, and Plan specialized agents
Comprehensive roadmap generation including test plans and 'Definition of Done' criteria

사용 사례

Standardizing project planning and documentation across distributed engineering teams
Scoping complex new features from high-level or ambiguous descriptions
Creating structured technical specifications for legacy code refactoring

소개

주요 기능

Automated 'Accept All Recommended' workflow for rapid project initialization
Interactive UI-based surveys using the AskUserQuestion tool for requirement clarification
0 GitHub stars
Confidenz (CZ) scoring to indicate AI certainty levels and highlight high-risk assumptions
Multi-agent orchestration involving Research, Survey, and Plan specialized agents
Comprehensive roadmap generation including test plans and 'Definition of Done' criteria

사용 사례

Standardizing project planning and documentation across distributed engineering teams
Scoping complex new features from high-level or ambiguous descriptions
Creating structured technical specifications for legacy code refactoring