token-economy

Optimize docs, changelogs, and MCP tasks for reduced token usage.

4|1|Updated Sep 17, 2025
One-click install
npx skills add https://github.com/phamhung075/4genthub-hooks --skill token-economy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: token-economy
Source: https://github.com/phamhung075/4genthub-hooks/tree/main/skills/token-economy
Command: npx skills add https://github.com/phamhung075/4genthub-hooks --skill token-economy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides writers to optimize token usage when producing docs, changelogs, and MCP tasks, helping you preserve essential information while reducing token counts.

Core Features & Use Cases

  • Technique-driven: apply 15 techniques like tables over prose, bullets with pipes, and inverted pyramid to produce scannable content.
  • MCP templates: provides standardized task, progress, and completion templates to trim verbosity.
  • Practical examples: demonstrates before/after rewrites to save tokens without losing meaning.

Quick Start

Start with a verbose doc snippet and run the token-economy process to produce a concise, high-quality version. Example: "Transform a long changelog into a compact, readable entry using the 15 techniques."

Frequently Asked Questions about token-economy

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

FAQPage Schema
How do I reduce token usage in documentation without losing important information?

Token economy optimizes documentation by applying 15 techniques—tables over prose, bullets with pipes, inverted pyramid structure—to preserve essential content while cutting token counts. This approach transforms verbose docs into scannable, compact references that maintain clarity.

What formatting techniques work best for token-optimized MCP task outputs?

MCP tasks benefit from standardized templates for task definition, progress tracking, and completion reporting. The Skill provides concrete templates that trim verbosity while meeting functional requirements like pattern statements, Why decisions, and concrete error reporting.

Can I transform a long changelog into a compact, readable format?

Yes. The Skill demonstrates before/after rewrites using techniques like numbered steps and compact code samples. Changelogs shrink through structured formatting while remaining scannable and preserving version history and decision context.

What's the fastest way to make documentation more token-efficient?

Start with a verbose doc snippet and apply the 15 core techniques: tables replace paragraphs, pipes separate bullet details, numbered steps replace prose explanations, and code samples stay minimal. The Skill provides practical examples showing exact transformations.

Do these token optimization techniques work for technical writing across all doc types?

Token economy applies specifically to docs, changelogs, and MCP tasks. It's designed for technical content where inverted pyramid order, no fluff, and concrete errors are functional requirements—not general prose writing.

Why should I use tables and structured formats instead of paragraph descriptions?

Tables and structured formats compress information density and reduce scanning time. They save tokens by eliminating transitional phrases and repeated context while making comparisons, steps, and relationships immediately visible to readers.