deepthink

Orchestrate structured multi-step reasoning workflows for analytical questions via CLI.

42|3|Updated Mar 5, 2021

Search Tags:#workflow orchestration #CLI #Python #multi-step #structured reasoning #sub-agent #open-ended questions

Ready to run

npx skills add https://github.com/fmoda3/nix-configs --skill deepthink

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deepthink
Source: https://github.com/fmoda3/nix-configs/tree/main/home/claude-code/config/skills/deepthink
Command: npx skills add https://github.com/fmoda3/nix-configs --skill deepthink

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

DeepThink provides a ready-to-run structured reasoning workflow that activates immediately for open-ended analytical questions, avoiding ad-hoc exploration.

Core Features & Use Cases

Structured multi-step reasoning: orchestrates planning, sub-agent design, evaluation, and synthesis.
Deterministic workflow: executes a predefined sequence of steps to produce consistent outputs.
Use Case: Ideal for taxonomy design, conceptual analysis, trade-off exploration, and definitional questions where the answer structure is not predetermined.

Quick Start

Run the think script to begin the workflow:

From the skill's scripts directory, execute: python3 -m skills.deepthink.think --step 1

Frequently Asked Questions about deepthink

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

FAQPage Schema

What is structured multi-step reasoning for open-ended analytical questions?▼

Structured multi-step reasoning for open-ended analytical questions is a deterministic workflow that orchestrates planning, sub-agent design, evaluation, and synthesis to produce consistent conceptual analysis outputs.

How do I automate taxonomy design and trade-off exploration using a Python CLI?▼

You can automate taxonomy design and trade-off exploration by executing a Python CLI module that runs a predefined sequence of reasoning steps to guide the analytical process from a scripts directory.

When do I need a deterministic workflow for conceptual analysis?▼

You need a deterministic workflow for conceptual analysis when answering definitional questions or exploring trade-offs across complex domains where the answer structure is not predetermined and ad-hoc exploration must be avoided.

Does this structured reasoning workflow require external dependencies to run?▼

No, this structured reasoning workflow requires no external dependencies to run, utilizing built-in Python scripts and sub-agent support to execute the multi-step orchestration directly.

What is the best way to explore definitional questions across complex domains?▼

The best way to explore definitional questions across complex domains is using a structured reasoning workflow that orchestrates sub-agents for planning and synthesis, ensuring consistent analytical outputs.

Can I use sub-agent support to guide open-ended analytical questions?▼

Yes, you can use sub-agent support to guide open-ended analytical questions by invoking the Python CLI module to orchestrate a deterministic workflow across planning, evaluation, and synthesis steps.