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iterative-planner

Transform project ideas into structured planning documentation with acceptance criteria.

Updated Aug 27, 2026
Search Tags:#planning#documentation#collaboration#requirements#software-engineering#ai-assisted
One-click install
npx skills add https://github.com/bailey-busc/env --skill iterative-planner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: iterative-planner
Source: https://github.com/bailey-busc/env/tree/main/modules/home/develop/ai/claude-code/skills/iterative-planner
Command: npx skills add https://github.com/bailey-busc/env --skill iterative-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transforms vague project ideas into structured, actionable planning documentation through guided inquiry and iterative refinement.

Core Features & Use Cases

  • Iterative problem discovery: asks targeted questions to clarify goals, constraints, and success criteria.
  • Requirements elaboration: converts concepts into job stories, acceptance criteria, and traceable plans.
  • Template-driven planning: generates Lean PRD, Feature Pitches, Technical Design, ADRs, and Implementation Plans for AI-assisted development.
  • Use case: from an initial concept to a complete, implementation-ready plan suitable for handoff to engineering teams.

Quick Start

Provide your initial project concept and appetite, and the AI will guide you through problem discovery and produce structured, implementation-ready documentation through iterative prompts.

Frequently Asked Questions about iterative-planner

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

FAQPage Schema
How do I turn a vague software project idea into actionable planning documentation?▼

Software project planning documentation transforms vague ideas through guided inquiry and iterative refinement. You provide an initial concept, and the AI asks targeted questions to clarify goals, constraints, and success criteria, producing structured, implementation-ready plans.

What is the best way to write technical design and PRDs for AI-assisted development?▼

Technical design and PRDs for AI-assisted development are generated using template-driven planning. This approach produces Lean PRDs, Feature Pitches, ADRs, and Implementation Plans by converting concepts into job stories and verifiable acceptance criteria.

Can I use guided AI planning for both greenfield projects and refactoring existing software?▼

Guided AI planning supports greenfield, extension, and refactor scenarios. It operates across these contexts to guide problem discovery, requirements elaboration, and technical planning, ensuring structured outputs regardless of the project type.

How do I create verifiable acceptance criteria from an initial project concept?▼

Verifiable acceptance criteria are created through iterative problem discovery and requirements elaboration. By asking targeted questions about your concept, the process clarifies goals and converts them into job stories and traceable plans suitable for engineering handoff.

Do I need any specific frameworks or dependencies to start planning my software requirements?▼

No specific frameworks or dependencies are needed to start planning software requirements. You only need to provide your initial project concept and appetite, and the AI guides you through the problem discovery process to generate structured documentation.

Why use iterative AI-assisted planning instead of writing software documentation manually?▼

Iterative AI-assisted planning clarifies goals through targeted questions rather than manual drafting. It ensures implementation-ready outputs by providing templates and verifiable acceptance criteria, reducing ambiguity and enabling direct handoff to engineering teams.

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