Can it help me with small bug fixes?

Yes, it includes a 'Quick Spec' template specifically designed for small feature additions, refactoring, or bug fixes that don't require a full SRS.

What kind of templates are available?

There are 19 templates across five categories: Requirements (AI PRD, SRS), Design (RFC, Arc42), Implementation (Task Lists, Implementation Plans), Operations (Test Plans, Runbooks), and Project Foundations (CLAUDE.md).

How is this different from standard documentation?

This skill generates documentation specifically for AI agents. It strips out human-centric fluff like approval workflows and focuses on technical constraints, logic, and acceptance criteria that an AI needs to write code accurately.

Where does the skill save the generated files?

By default, most files are saved in the docs/ directory. Project foundation files like CLAUDE.md or AGENTS.md are saved directly to the project root for immediate use by your AI environment.

AI Implementation Spec Generator

Name: AI Implementation Spec Generator
Author: DIO0550

byDIO0550

0•

Learning & Documentation

Generates 19 types of AI-optimized technical specifications and design documentation through an interactive, requirement-driven dialogue.

The spec-gen skill is designed to bridge the gap between high-level concepts and executable code by creating documentation tailored specifically for AI coding agents. Unlike traditional documentation focused on human stakeholders and approval flows, this skill generates precision-focused technical specs, RFCs, and implementation plans that emphasize constraints, acceptance criteria, and technical architecture. By using an interactive 'hearing' process, it helps developers quickly establish the necessary context for AI-driven development across the entire software lifecycle, from initial requirements to operations and maintenance.

Key Features

01Interactive hearing workflow that uses batch questioning to capture project details

020 GitHub stars

0319 specialized templates including AI PRDs, Technical Designs, and Arc42 architecture docs

04Smart keyword detection to automatically recommend the best documentation template

05AI-centric design focus that prioritizes technical constraints over stakeholder management

06Automated project foundation support for generating CLAUDE.md and AGENTS.md files

Use Cases

01Creating structured RFCs and architectural designs to evaluate technical trade-offs

02Defining technical requirements and constraints before tasking an AI agent with feature implementation

03Generating operational runbooks and post-mortems for incident management and system reliability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dio0550/d-market-doc-gen spec-gen

For use in Claude.ai and ChatGPT