engineer-coder

Translate approved engineering handoffs into executable solution_script.py files.

2|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/MRiabov/Problemologist-AI --skill engineer-coder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: engineer-coder
Source: https://github.com/MRiabov/Problemologist-AI/tree/main/.agents/skills/engineer-coder
Command: npx skills add https://github.com/MRiabov/Problemologist-AI --skill engineer-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Engineer Coder skill provides a stable operating manual for turning approved handoffs into concrete Python scripts, validations, simulations, and evidence inquiries, ensuring reproducible, contract-grounded engineering implementations.

Core Features & Use Cases

  • Converts engineering handoffs into runnable solution_script.py while preserving engineering_plan.md contracts.
  • Supports bounded retries, mechanism-pattern selection, validation, simulation, and render-evidence inspection.
  • Facilitates plan grounding in engineering_plan.md, frame-indexed objects.parquet evidence, and plan_refusal plan generation when infeasible.

Quick Start

Provide an approved handoff in engineering_plan.md and initiate the engineer-coder workflow to generate solution_script.py along with validation evidence.

Frequently Asked Questions about engineer-coder

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

FAQPage Schema
How do I automate approved engineering handoffs into validated Python scripts?

Automating engineering handoffs involves translating approved plans into an executable solution_script.py with validated revisions. The process preserves engineering_plan.md contracts while applying bounded retries, pattern selection, and simulation.

What is the best way to generate render-bundle evidence for CAD simulations?

Generating render-bundle evidence for CAD simulations requires querying frame-indexed objects.parquet data. This satisfies strict contract requirements and grounds results in engineering_plan.md anchors.

How does plan_refusal handling work when an engineering plan is infeasible?

Plan_refusal handling works by generating a refusal plan via plan_refusal.md when an engineering task is infeasible. It enforces strict evidence and contract requirements to reject handoffs that cannot be executed.

Do I need an engineering_plan.md file to start automating CAD solutions?

You need an approved engineering_plan.md file to start automating CAD solutions. This document provides the necessary contracts and anchors required to generate the solution_script.py and validation evidence.

Can I apply bounded retries and mechanism-pattern selection to engineering validation tasks?

You can apply bounded retries and mechanism-pattern selection to engineering validation tasks. The automation supports these mechanisms alongside simulation and render-evidence inspection to ensure robust solution revisions.

Why does engineering plan grounding require strict evidence and contract requirements?

Engineering plan grounding requires strict evidence and contract requirements to ensure reproducible, contract-grounded implementations. This prevents unverified handoffs from producing invalid solution_script.py outputs or incomplete validation data.