dev-story

Coordinate story-to-code implementation for Godot game development with AI agents.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/rakhnianskii9/God-Godot --skill dev-story-rakhnianskii9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dev-story
Source: https://github.com/rakhnianskii9/God-Godot/tree/main/.github/skills/dev-story
Command: npx skills add https://github.com/rakhnianskii9/God-Godot --skill dev-story-rakhnianskii9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill bridges planning and implementation by coordinating AI-driven agents to read a narrative, assemble full project context (story, GDD requirement, ADR guidelines, control manifest), and drive end-to-end implementation including tests.

Core Features & Use Cases

  • End-to-end story implementation: reads a story, orchestrates specialized agents, and produces code and tests.
  • Context assembly and validation: loads TR registry, ADR, and manifest to ensure alignment with architectural rules.
  • Phase-guided collaboration: routes to the appropriate programmer agent depending on the story layer and type; writes an implementation summary and test files.

Quick Start

Provide a story path to trigger the end-to-end implementation workflow.

Frequently Asked Questions about dev-story

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

FAQPage Schema
How do I automate story-to-code implementation in Godot using AI agents?

Automating story-to-code implementation in Godot uses an orchestrator to read a story file and route tasks to specialized AI agents. These agents execute phase-based code generation, write tests, and validate artifacts against an ADR and manifest.

What is phase-based routing for AI-driven game development workflows?

Phase-based routing for AI-driven game development directs specific story layers to specialized programmer agents. This enforces structured implementation by validating required artifacts and architectural rules before generating code and tests.

How do I validate architectural rules during AI code generation?

Validating architectural rules during AI code generation requires assembling full project context. The workflow loads an Architecture Decision Record, a Technical Requirement registry, and a control manifest to ensure alignment before routing implementation.

Does this story-to-code workflow support testing and validation orchestration?

This story-to-code workflow supports testing and validation orchestration. It coordinates specialized agents to produce test files alongside code implementations and generates an implementation summary and session memory update.

What do I need to provide to trigger an end-to-end implementation workflow?

To trigger an end-to-end implementation workflow, you need to provide a story path. The orchestrator then assembles the required GDD requirements, ADR guidelines, and control manifest to drive automated code generation.

Are there limitations to orchestrating AI agents for Godot game development?

Orchestrating AI agents for Godot game development is limited to projects that provide required artifacts. You must supply a story file, ADR guidelines, a TR registry, and a manifest; without these, phase-based routing and validation cannot execute.