tlaplus

Verify concurrent system designs with TLA+ and the TLC model checker.

2|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/jonmumm/skills --skill tlaplus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tlaplus
Source: https://github.com/jonmumm/skills/tree/main/tlaplus
Command: npx skills add https://github.com/jonmumm/skills --skill tlaplus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

TLA+ formal verification helps you validate system designs by exhaustively modeling concurrency with TLC, revealing race conditions, deadlocks, and invariant violations before code is written.

Core Features & Use Cases

  • Model concurrent state machines and interleavings with TLC.
  • Verify safety and liveness properties, invariants, and correctness of algorithms.
  • Bridge results to implementation with counterexamples guiding design fixes.

Quick Start

Describe your system, choose between concurrency or invariant tracking, and run TLC to verify your model.

Frequently Asked Questions about tlaplus

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

FAQPage Schema
How do I verify concurrent system designs for deadlocks and race conditions?

To verify concurrent system designs, you can model state machines and interleavings using TLA+ and run the TLC model checker to exhaustively reveal deadlocks, race conditions, and invariant violations before writing code.

What is formal verification and when do I need it for concurrent state machines?

Formal validation is a technique used to exhaustively model concurrency and verify safety and liveness properties. You need it when system correctness depends on complex interleavings and shared state across multiple interacting components.

How do I check safety and liveness properties using TLC model checking?

To check safety and liveness properties with TLC model checking, you specify Init and Next behavior for your system and run the model checker to validate invariants and algorithm correctness against defined properties.

How do I bridge TLA+ counterexamples to fix my implementation code?

To bridge TLA+ counterexamples to implementation code, you interpret the counterexamples generated by TLC to guide design fixes, ensuring the verified model's invariants correctly transfer to your actual tests and codebase.

Can I use TLA+ to verify shared state and nontrivial interleavings in my system?

Yes, you can use TLA+ to verify shared state and nontrivial interleavings. It is specifically designed for projects with multiple interacting components where correctness depends on maintaining invariants and liveness.

What are the limitations of using TLC for formal verification of algorithms?

A limitation of using TLC for formal verification is that it requires specifying abstract Init and Next behavior models, meaning you must manually bridge the verified specifications to your actual implementation code and tests.