specification-to-temporal-logic-generator

Translate natural language specifications into LTL, CTL, and TLA formulas.

1|2|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/santosomar/general-secure-coding-agent-skills --skill specification-to-temporal-logic-generator-santosomar
Or copy as Structured Prompt for Agent
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Skill: specification-to-temporal-logic-generator
Source: https://github.com/santosomar/general-secure-coding-agent-skills/tree/main/skills/verification/specification-to-temporal-logic-generator
Command: npx skills add https://github.com/santosomar/general-secure-coding-agent-skills --skill specification-to-temporal-logic-generator-santosomar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users translate natural language specifications into formal temporal logic formulas, enabling precise verification of system behavior.

Core Features & Use Cases

  • Logic Selection: Guides the choice between LTL, CTL, and TLA based on checker compatibility and property type.
  • Operator Mapping: Provides a cheat sheet for common temporal logic operators and their English equivalents.
  • Pattern to Formula: Demonstrates how to convert common specification patterns into formal logic.
  • Use Case: When specifying a critical system, you need to ensure that "every request eventually receives a response." This Skill helps you write the correct LTL formula G (req → F resp) for your model checker.

Quick Start

Use the specification-to-temporal-logic-generator skill to translate the specification "After a successful login, the session token remains valid until logout or timeout" into an LTL formula.

Frequently Asked Questions about specification-to-temporal-logic-generator

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

FAQPage Schema
How do I translate natural language requirements into temporal logic formulas?

To translate natural language requirements into temporal logic formulas, map specification shapes to appropriate logic types and operators. This process formalizes English statements like "every request eventually receives a response" into precise syntax such as LTL formulas for model checkers.

When should I use LTL versus CTL for formal verification properties?

Choose between LTL and CTL for formal verification based on checker compatibility and property type. LTL suits linear time properties like eventual response, while CTL handles branching time structures, ensuring the selected logic aligns with your model checker's capabilities.

What do common temporal logic operators mean in English for requirements engineering?

Common temporal logic operators in requirements engineering map directly to English equivalents: Globally (G) means always, Finally (F) means eventually, and Until (U) defines condition persistence. These operators enable precise expression of temporal claims.

How do I convert specification patterns into formal logic for model checkers?

Convert specification patterns into formal logic by matching common requirement shapes to standard temporal formulas. This demonstrates how to transform typical natural language constraints into structured LTL, CTL, or TLA syntax for precise model checking verification.

Can I express session timeout constraints using LTL formulas?

Yes, you can express session timeout constraints using LTL formulas by applying the Until operator. For example, a rule stating a token remains valid until logout translates to an LTL structure defining state persistence until a specific termination event occurs.