plenum-proof-and-analysis-toolkit

Proves correctness of Plenum HVAC software changes using structured engineering analysis methods.

6|1|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/dhruvb14/smart-thermostat-with-vents --skill plenum-proof-and-analysis-toolkit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plenum-proof-and-analysis-toolkit
Source: https://github.com/dhruvb14/smart-thermostat-with-vents/tree/main/.claude/skills/plenum-proof-and-analysis-toolkit
Command: npx skills add https://github.com/dhruvb14/smart-thermostat-with-vents --skill plenum-proof-and-analysis-toolkit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineers replace intuition-driven reviews with rigorous proof techniques for complex Plenum HVAC changes, reducing bugs caused by incorrect assumptions about state, conversions, boundaries, timing, and persistence.

Core Features & Use Cases

  • Correctness Proof Recipes: Provides structured methods for proving temperature conversion algebra, state-machine completeness, inequality boundaries, hysteresis behavior, timezone handling, async lifecycle safety, and database invariants.
  • Production Bug Analysis: Uses real Plenum issue examples to show how subtle defects such as double conversions, missing state transitions, off-by-one retention errors, and reconnect failures can be detected and prevented.
  • Use Case: Apply this Skill when reviewing a cycle engine change, modifying temperature handling, updating migrations, or investigating a bug involving missing edge cases or incorrect system behavior.

Quick Start

Use the plenum proof and analysis toolkit to prove whether my HVAC engine change is correct before I merge it.

Frequently Asked Questions about plenum-proof-and-analysis-toolkit

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

FAQPage Schema
How do I prove HVAC state machine completeness before merging control code changes?

To prove HVAC state machine completeness, you apply structured engineering analysis methods to verify state transitions, invariant checks, and boundary proofs. This validates that cycle engine changes handle all scenarios correctly before production deployment.

What is the best way to review asyncio lifecycle safety in HVAC scheduling logic?

Reviewing asyncio lifecycle safety requires analyzing async task scheduling logic and reconnect failure scenarios. Structured proof techniques detect subtle defects in timing and persistence assumptions that intuition-driven reviews often miss in HVAC control systems.

How do I check temperature conversion algebra for double conversion bugs?

Checking temperature conversion algebra involves applying correctness proof recipes to verify conversion formulas and detect double conversion defects. Structured analysis prevents incorrect system behavior caused by faulty temperature handling assumptions.

Can I use formal proof techniques to validate database migration invariants?

Yes, formal proof techniques validate database migration invariants by checking retention boundaries and persistence constraints. Exhaustive scenario reasoning detects off-by-one retention errors and missing edge cases in database migration logic.

Does this analysis approach work for timezone handling and hysteresis boundary proofs?

Yes, this analysis approach works for timezone handling and hysteresis boundary proofs by applying inequality boundary analysis and lifecycle verification. Structured methods prove correctness across timezone edge cases and hysteresis behavior transitions.

Why does intuition-driven code review miss subtle defects in HVAC control systems?

Intuition-driven code review misses subtle defects because it lacks rigorous boundary proofs, state-machine completeness checks, and exhaustive scenario reasoning. Structured engineering analysis replaces assumptions with verified invariants for complex HVAC changes.