think-advanced

Parse prompts and output structured JSON or diagrams for recursive, modal, and stochastic reasoning.

1|Updated Apr 13, 2026

Search Tags:#algorithm #reasoning #logic #modal #possible-worlds #stochastic #recursive

Ready to run

npx skills add https://github.com/danielsimonjr/deepthinking-plugin --skill think-advanced

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: think-advanced
Source: https://github.com/danielsimonjr/deepthinking-plugin/tree/main/skills/think-advanced
Command: npx skills add https://github.com/danielsimonjr/deepthinking-plugin --skill think-advanced

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Advanced runtime reasoning across recursive, modal, and stochastic problems, enabling structured analysis of self-referential tasks, modality reasoning, and probabilistic processes.

Core Features & Use Cases

Recursive reasoning: break problems into smaller instances of the same problem, define base cases, recursive steps, and halting conditions.
Modal reasoning: analyze necessity and possibility using possible-worlds semantics across alethic, epistemic, and deontic domains.
Stochastic reasoning: model probabilistic processes with distributions, sampling, and Monte Carlo methods.
Use Cases: debugging complex algorithms, formalizing policy decisions, and exploring hypothetical scenarios through rigorous reasoning.

Quick Start

Provide a problem and specify the mode to use (recursive, modal, or stochastic) to start advanced reasoning.

Frequently Asked Questions about think-advanced

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

FAQPage Schema

How do I perform modal reasoning with possible-worlds semantics?▼

Modal reasoning with possible-worlds semantics evaluates necessity and possibility across alethic, epistemic, and deontic domains. You provide a problem, specify the modal mode, and receive structured JSON outputs analyzing your hypothetical scenarios.

What is stochastic reasoning and how does Monte Carlo analysis apply?▼

Stochastic reasoning models probabilistic processes using distributions, sampling, and Monte Carlo methods. It analyzes unpredictable systems by generating structured JSON outputs that map probabilistic outcomes and sampling logic.

How do I structure recursive reasoning for complex algorithm problems?▼

Recursive reasoning breaks complex problems into smaller instances of the same problem. You define base cases, recursive steps, and halting conditions to receive structured analysis of self-referential tasks and algorithmic logic.

Can I use advanced runtime reasoning without external dependencies?▼

Advanced runtime reasoning operates with zero external dependencies. It parses user prompts and integrates safely with the think router to process recursive, modal, and stochastic problems natively.

What is the best way to formalize policy decisions using probabilistic processes?▼

Formalizing policy decisions uses stochastic reasoning to model probabilistic processes with distributions and Monte Carlo methods. It provides structured JSON outputs to rigorously analyze hypothetical scenarios and policy impacts.

Does advanced runtime reasoning output diagrams or structured data?▼

Advanced runtime reasoning parses user prompts and provides structured JSON outputs or diagrams. It processes recursive, modal, and stochastic patterns to deliver structured analysis across self-referential and probabilistic tasks.