How does the inception-requirements skill collect information?

To keep the conversation clean, the skill generates a dedicated markdown file containing specific questions with [Answer]: tags for you to fill out, rather than asking them individually in the chat.

Can I use this for existing codebases?

Yes, it is designed to handle 'brownfield' projects by loading context from reverse engineering artifacts to ensure new requirements are compatible with existing systems.

What is 'adaptive depth' in this context?

Adaptive depth means the skill evaluates the complexity of your request to determine if it needs a minimal, standard, or comprehensive analysis, saving time on simple tasks while being thorough on complex ones.

Does it require human intervention?

Yes, the skill is designed with safety and accuracy in mind; it will wait for your answers to its questions and require your explicit approval of the final requirements document before finishing.

Where are the requirements stored?

All requirements and verification questions are stored within your project's local directory under the aidlc-docs/inception/requirements/ folder for easy version control.

Inception Requirements Analysis

Name: Inception Requirements Analysis
Author: yamatatsu

byyamatatsu

0•

생산성 및 워크플로

Streamlines project discovery by acting as an AI Product Owner to gather, analyze, and document comprehensive technical and functional requirements.

The inception-requirements skill is a core component of the AI-DLC framework designed to eliminate ambiguity at the start of the software development lifecycle. By assuming the role of a Product Owner, this skill performs a deep-dive analysis of project goals using adaptive depth—scaling its inquiry based on project complexity. It systematically generates structured markdown question files to capture functional requirements, non-functional constraints, and business logic, ensuring that no technical detail is overlooked. Once the user provides feedback, the skill generates a formal requirements document and audit log, providing a rock-solid foundation for subsequent development phases like user story mapping and workflow planning.

주요 기능

01Comprehensive audit logging and state management tracking

02Adaptive depth analysis tailored to project scope and complexity

03Brownfield project support with reverse engineering context loading

04Automated generation of structured requirement verification questions

050 GitHub stars

06Formal requirements document (requirements.md) generation

사용 사례

01Defining initial project scope and technical constraints for new software builds

02Analyzing legacy codebases to document current state before feature expansion

03Standardizing requirement gathering processes across distributed engineering teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yamatatsu/claude-aidlc inception-requirements

For use in Claude.ai and ChatGPT

Download Skill