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AIS-Commercial-Business-Unit
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ais.spec.specify

Generate and manage AI project specifications with versioned sub-specs.

Updated Jul 1, 2026
Search Tags:#project management#version control#specification generation#python scripting#ai specification
One-click install
npx skills add https://github.com/AIS-Commercial-Business-Unit/CBU_Specify --skill ais-spec-specify
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ais.spec.specify
Source: https://github.com/AIS-Commercial-Business-Unit/CBU_Specify/tree/main/.cursor/skills/ais.spec.specify
Command: npx skills add https://github.com/AIS-Commercial-Business-Unit/CBU_Specify --skill ais-spec-specify

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of defining and managing AI project specifications, ensuring clarity and traceability throughout the project lifecycle.

Core Features & Use Cases

  • Feature Description Analysis: Extracts key concepts from user input to create a specification.
  • Versioning and Branching: Automates the creation of unique spec versions and handles sub-specs and re-specify scenarios.
  • Specification Generation: Writes a comprehensive specification based on the extracted features and requirements.
  • Quality Validation: Validates the specification against quality criteria, ensuring completeness and adherence to constitutional principles.

Quick Start

Run /ais.spec.specify "My feature description" to generate a new AI project specification.

Frequently Asked Questions about ais.spec.specify

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

FAQPage Schema
How do I generate AI project specifications from feature descriptions?▼

To generate AI project specifications, provide a feature description to extract key concepts and write a comprehensive specification. The process automates version creation and validates outputs against quality criteria.

How does specification version control work for sub-specs and re-specify scenarios?▼

Specification version control automates the creation of unique spec versions and handles sub-specs and re-specify scenarios. It uses Python scripting to maintain traceability throughout the project lifecycle.

Do I need Python scripting to manage specification generation?▼

Yes, Python scripting is required to automate specification generation and version control. It enables the extraction of feature concepts and ensures traceability across unique spec versions.

What is the best way to validate AI specifications against quality criteria?▼

The best way to validate AI specifications is to check them against predefined quality criteria automatically. This ensures completeness and adherence to constitutional principles during generation.

When should I use automated specification generation for project management?▼

Use automated specification generation when you need to define and manage AI project specifications with precision. It simplifies ensuring clarity and traceability throughout the project lifecycle.

Can I handle sub-specs and branching using Python scripting for version control?▼

Yes, you can handle sub-specs and branching scenarios using Python scripting. It automates the creation of unique spec versions to maintain traceability across project specifications.

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