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paleo

Reduce output tokens in AI interactions by 50-70%.

Updated Jul 5, 2026
Search Tags:#AI efficiency#AI integration#token reduction#output optimization#context trimming
One-click install
npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill paleo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paleo
Source: https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir/tree/main/skills/paleo
Command: npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill paleo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

paleo addresses the issue of excessive output tokens in AI interactions, which can lead to increased costs and slower response times. It helps in reducing the token usage while maintaining the quality and accuracy of the output.

Core Features & Use Cases

  • Token Reduction: Cuts output tokens by 50-70%, reducing costs and improving efficiency.
  • Modular Skills: Offers 6 composable skills to cater to different use cases, such as trimming context, enforcing a token budget, and summarizing conversations.
  • Auto-detection: Automatically enables the appropriate skills based on the session context.
  • Cross-Agent Compatibility: Supports integration with over 40+ AI agents through the open Agent Skills standard.
  • Zero-setup Triggers: Uses natural language phrases for activation, eliminating the need for complex commands.

Quick Start

To activate paleo, simply type 'paleo mode' or 'save tokens' into your AI interaction.

Frequently Asked Questions about paleo

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

FAQPage Schema
How do I reduce output tokens in AI interactions to lower costs and latency?▼

You can reduce output tokens in AI interactions by activating paleo mode, which cuts token usage by 50-70% to lower costs and latency. The skill automatically enables appropriate features based on your session context to maintain output quality while trimming text.

How does context trimming work for managing large-scale text outputs?▼

Context trimming works by using modular skills that automatically detect your session context and trim large-scale text outputs. This enforces a token budget and summarizes conversations to efficiently manage large-scale text without complex commands.

What is the best way to enforce a token budget during AI summarization?▼

The best way to enforce a token budget during AI summarization is using natural language triggers like 'save tokens'. This activates modular skills designed for summarization, automatically reducing output tokens by 50-70% while preserving the accuracy of the summarized output.

When should I avoid using automated token reduction for context trimming?▼

You should avoid automated token reduction when your task requires maximum output fidelity without summarization. Paleo reduces output tokens by 50-70% through context trimming and budgeting, which may inadvertently remove granular details needed for highly precise outputs.

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