FUTURE_TOKENS

🥈Silver

Composable reasoning skills for Claude to antithesize, excavate, metaphorize, and synthesize. Operations teams use these to build AI-assisted thinking workflows. Connects to Claude Skills for reusable cognitive operations.

2600Updated 1mo ago

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/jordanrubin/FUTURE_TOKENS.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/jordanrubin/FUTURE_TOKENS

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze [DATA] using the following Future Tokens skills: antithesize, excavate, metaphorize, and synthesize. Provide a structured breakdown of insights for [COMPANY] in [INDUSTRY].

Example Output

# Future Tokens Analysis for GreenTech Solutions

## Antithesize
- Current solar panel efficiency: 22% (industry average)
- Potential improvement: 35% through new quantum dot technology

## Excavate
- Key challenges in adoption:
  - High initial costs
  - Limited consumer awareness
  - Supply chain dependencies

## Metaphorize
GreenTech's current position is like a runner at the starting line of a marathon, with quantum dot technology as the turbocharged shoes that could propel them ahead of competitors.

## Synthesize
To capitalize on quantum dot technology, GreenTech should:
1. Partner with material scientists to accelerate R&D
2. Develop a phased rollout strategy to manage costs
3. Launch an educational campaign to build consumer demand