What happens if there are ambiguities in the requirements?

The skill includes a 'Gather Clarifications' step that uses AskUserQuestion to resolve gaps in scope or technical approach before the drafting process begins.

Can I run this skill without prior research?

No, the Spec skill requires a spec-research.md file to exist. You should run the research skill first to gather context and technical constraints before generating the specification.

What is the primary output of the Spec skill?

The skill produces two primary files: a comprehensive spec.md containing requirements and design, and a checklist.md which provides a step-by-step task list for implementation.

Why does the skill use parallel agents?

It launches four background agents to draft the Overview, Out-Of-Scope, Functional Requirements, and Technical Design sections simultaneously to reduce the time spent generating documentation.

How does the skill ensure documentation quality?

It employs a multi-agent validation process including a coherence checker for internal consistency and a spec-qc agent that validates the output against the original research.

Technical Specification Generator

Name: Technical Specification Generator
Author: AI-Builder-Team

byAI-Builder-Team

•

Productividad y Flujo de Trabajo

Generates detailed technical specifications and implementation checklists from research artifacts to streamline the development lifecycle.

The Spec skill transforms raw research data into structured, implementable technical documentation. By utilizing parallel sub-agents to simultaneously draft specialized sections—including functional requirements, out-of-scope definitions, and technical design—it ensures comprehensive coverage and speed. The skill features a robust multi-stage validation pipeline, including coherence checks and automated QC agents, to ensure that the resulting spec.md and checklist.md are consistent, accurate, and ready for immediate implementation by development teams.

Características Principales

01Parallel section drafting using specialized sub-agents for speed

02Integrated QC agent for cross-referencing research and specs

03Automated internal coherence and consistency validation

04Standardized Andon escalation for resolving technical blockers

052 GitHub stars

06Generation of phased implementation checklists from specs

Casos de Uso

01Converting complex research notes into developer-ready technical specs

02Creating standardized task checklists to guide feature implementation

03Ensuring architectural consistency across modular software components

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ai-builder-team/ai-builder-plugin-marketplace spec

For use in Claude.ai and ChatGPT

Características Principales

01Parallel section drafting using specialized sub-agents for speed

02Integrated QC agent for cross-referencing research and specs

03Automated internal coherence and consistency validation

04Standardized Andon escalation for resolving technical blockers

052 GitHub stars

06Generation of phased implementation checklists from specs

Casos de Uso

01Converting complex research notes into developer-ready technical specs

02Creating standardized task checklists to guide feature implementation

03Ensuring architectural consistency across modular software components

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ai-builder-team/ai-builder-plugin-marketplace spec

For use in Claude.ai and ChatGPT