Create Spec Module1 Ros2.spec.prompt

---
id: 0002
title: Create Specification for Module 1 ROS 2 Basics
stage: spec
date: 2025-12-10
surface: agent
model: gemini
feature: 001-module1-ros2-basics
branch: 001-module1-ros2-basics
user: unknown
command: /sp.specify
labels: ["specification", "ros2", "docusaurus"]
links:
  spec: specs/001-module1-ros2-basics/spec.md
  ticket: null
  adr: null
  pr: null
files:
  - specs/001-module1-ros2-basics/spec.md
  - specs/001-module1-ros2-basics/checklists/requirements.md
tests:
  - none
---

## Prompt

/sp.specify Module 1 — ROS 2 Robotic Nervous System Target audience: Beginner–intermediate robotics/AI students. Focus: ROS 2 fundamentals: nodes, topics, services, rclpy integration, and basic humanoid URDF. Success criteria: - Produce 2–3 chapters for Module 1 - Each chapter includes a short explanation, a simple runnable example, and one task - Reader understands ROS 2 communication flow and how Python Agents connect via rclpy - URDF basics explained clearly for simple humanoid editing Constraints: - Format: Docusaurus markdown - Writing: concise technical style - Code: valid ROS 2 + rclpy snippets Not building: - Advanced Nav2/SLAM - Full humanoid URDF creation - Large simulation projects

## Response snapshot

I have created the feature specification for "Module 1: ROS 2 Robotic Nervous System".

## Outcome

- ✅ Impact: Created a detailed specification for the first module of the AI Book, defining the scope, user stories, requirements, and success criteria.
- 🧪 Tests: none
- 📁 Files:
  - `specs/001-module1-ros2-basics/spec.md` (Created)
  - `specs/001-module1-ros2-basics/checklists/requirements.md` (Created)
- 🔁 Next prompts: `/sp.plan`
- 🧠 Reflection: The process of creating a detailed specification from a high-level description is a good example of the "Spec-Driven Development" principle. The quality checklist is a useful tool to ensure the spec is ready for the next phase.

## Evaluation notes (flywheel)

- Failure modes observed: The `create-new-feature.ps1` script failed due to argument parsing issues with a long string. The workaround was to proceed with the partially created artifacts.
- Graders run and results (PASS/FAIL): N/A
- Prompt variant (if applicable): N/A
- Next experiment (smallest change to try): N/A