spec

Generate structured requirement specifications from natural language feature requests.

4|Updated Jul 20, 2026

Search Tags:#automation #architecture #documentation #specification #requirements #sdlc

Ready to run

npx skills add https://github.com/highflame-ai/ai-factory --skill spec-highflame-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spec
Source: https://github.com/highflame-ai/ai-factory/tree/main/skills/spec
Command: npx skills add https://github.com/highflame-ai/ai-factory --skill spec-highflame-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the ambiguity and lack of structure in early-stage feature requests by enforcing a spec-driven development process that ensures requirements are testable, grounded in project context, and aligned with existing architecture.

Core Features & Use Cases

Context-Aware Specification: Automatically retrieves relevant lessons, bugs, and existing specs to ground new requirements in historical project knowledge.
Automated ID Allocation: Manages unique requirement ID generation across the repository to ensure traceability.
Standardized Documentation: Generates a comprehensive requirement document including system models, business rules, and acceptance criteria.

Quick Start

Invoke the spec skill with a description of your new feature to generate a formal requirement document.

Frequently Asked Questions about spec

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

FAQPage Schema

How do I convert a natural language feature request into a structured requirement specification?▼

Specification generation from feature requests requires access to project documentation, taxonomy, and architectural guidelines to ensure technical alignment and traceability across the development lifecycle.

What is the best way to ensure new feature requirements are aligned with existing architecture?▼

Generating requirement specifications ensures traceability by automatically managing unique requirement ID allocation across the repository, linking new features to historical project knowledge and architectural guidelines.

How do I generate testable acceptance criteria from early-stage feature requests?▼

The generated specification document includes defined system models, business rules, and acceptance criteria, enforcing a structured development lifecycle that ensures requirements are testable and grounded in project context.

Do I need project documentation to automate requirement specification generation?▼

Providing project context allows the system to retrieve relevant lessons and existing specs, grounding the generated system models and business rules in historical project knowledge.

When should I use a spec-driven development lifecycle for feature requests?▼

Applying this specification process solves early-stage ambiguity by enforcing standardized documentation, ensuring new features are aligned with existing architecture before development begins.