engineer-planner

Convert benchmark handoffs into engineering plans and drafting contracts.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Converts benchmark handoffs into implementation-ready engineering plans and drafting contracts, ensuring internal consistency across planning documents and executable artifacts.

Core Features & Use Cases

  • Owns planner-side artifacts like engineering_plan.md, todo.md, benchmark_definition.yaml, and assembly_definition.yaml.
  • Maintains strict consistency between read-only benchmark context and planner-drafted contracts, with formula-backed geometry and inventory labeling.
  • Supports inspection through render previews, trajectory derivations, and simulation evidence to validate feasibility.

Quick Start

Draft engineering_plan.md and assembly_definition.yaml from the approved handoff using planner templates.

Frequently Asked Questions about engineer-planner

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

FAQPage Schema
How do I turn engineering benchmarks into implementation-ready CAD plans?

Engineering benchmarks are turned into implementation-ready CAD plans by drafting `engineering_plan.md` and `assembly_definition.yaml` from approved handoffs. This process validates cost, weight, and motion contracts while maintaining strict consistency with read-only benchmark context.

How do I validate trajectory and motion contracts during assembly drafting?

Trajectory and motion contracts are validated during assembly drafting by applying formula-backed geometry and supporting render inspection. The system derives trajectory data and evaluates simulation evidence to determine overall mechanical feasibility.

What is the best way to maintain consistency between benchmark definitions and assembly files?

Consistency between benchmark definitions and assembly files is maintained by treating benchmark context as read-only input. The planner generates explicit inventory labels and formula-backed geometry to ensure executable artifacts match the original benchmark parameters.

Does this engineering planning workflow support simulation evidence for feasibility checks?

Yes, this engineering planning workflow supports simulation evidence for feasibility checks. It exposes render previews and trajectory derivations alongside formula-backed geometry to validate cost, weight, and motion constraints before finalizing the plan.

When do I need to draft an assembly_definition.yaml for an engineering plan?

You need to draft an `assembly_definition.yaml` when converting an approved benchmark handoff into executable engineering plans. It acts as a drafting contract that defines explicit inventory labels and validates motion constraints for the assembly.

Can I use formula-backed geometry to validate cost and weight contracts in an engineering plan?

Yes, you can use formula-backed geometry to validate cost and weight contracts. The planner applies these formulas during the revision of engineering plans to ensure internal consistency across drafting contracts and executable artifacts.