genshijin

Compress Japanese AI replies into 丁寧, 通常, or 極限 modes for token efficiency.

304|10|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/InterfaceX-co-jp/genshijin --skill genshijin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: genshijin
Source: https://github.com/InterfaceX-co-jp/genshijin/tree/main/skills/genshijin
Command: npx skills add https://github.com/InterfaceX-co-jp/genshijin --skill genshijin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It reduces wasted tokens in technical conversations by enforcing an ultra-compressed “caveman” Japanese communication style, while preserving technical correctness.

Core Features & Use Cases

  • Ultra-compressed response modes: Switch between 丁寧 (polite), 通常 (default), and 極限 (max compression) to match your context.
  • Deterministic compression rules: Removes honorific cushions, hedging, redundancy, and certain filler phrases while keeping the meaning intact.
  • Multi-turn persistence with safe reset: Keeps the chosen compression level across turns and prevents “style drift,” with clear user-triggered exit commands.

Quick Start

Start the skill by sending “/genshijin 丁寧” to get a business-friendly, concise compressed response.

Frequently Asked Questions about genshijin

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

FAQPage Schema
How do I compress Japanese AI replies to save tokens in technical discussions?

To compress Japanese AI replies and save tokens, this Skill enforces an ultra-compressed communication style by removing honorific cushions, hedging, and redundancy while preserving technical accuracy across multi-turn code review or system explanation tasks.

Can I control the prompt style and compression level for Japanese text generation?

You can control prompt style and compression by switching between 丁寧 (polite), 通常 (default), and 極限 (max compression) modes, ensuring the chosen Japanese text compression level persists across multiple conversation turns without style drift.

What is the best way to reduce context window usage during multi-turn technical conversations?

The best way to reduce context window usage is applying deterministic compression rules that strip verbose table-heavy formatting and filler phrases from Japanese technical replies, maintaining meaning while cutting wasted tokens for memory or summary-style tasks.

Does the compressed Japanese output stay consistent across multiple turns?

Compressed Japanese output stays consistent across multiple turns through multi-turn persistence, preventing style drift until you explicitly trigger a safe reset using designated exit commands to return to normal verbosity.

Why does my Japanese AI response lose technical accuracy when I try to make it more concise?

Japanese AI responses often lose accuracy during manual conciseness edits because standard compression removes critical context, whereas this Skill applies deterministic rules that remove only honorific cushions and redundancy while strictly preserving technical correctness.

When should I not use extreme token compression for Japanese technical communication?

You should avoid extreme token compression when Japanese technical communication requires formal politeness or detailed table-heavy formatting, instead utilizing the 丁寧 mode for business-friendly concise responses or issuing an explicit stop phrase to exit.