ultrashort

Compress AI responses to minimum tokens while preserving technical accuracy.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/heldernoid/ultrashort --skill ultrashort
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ultrashort
Source: https://github.com/heldernoid/ultrashort/tree/main/skills/ultrashort
Command: npx skills add https://github.com/heldernoid/ultrashort --skill ultrashort

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It reduces wasted output tokens caused by preambles, restatements, transitions, and trailing summaries, so you get the same technical content in far fewer words.

Core Features & Use Cases

  • Maximum compression: Strips filler and keeps full technical accuracy with a minimum-token style.
  • Intensity control: Supports tight, ultrashort (default), and micro modes to match the urgency and context.
  • Safety-aware behavior: Automatically drops compression when fragmenting could create ambiguity for warnings or irreversible actions.

Quick Start

Say: ultrashort when you want the AI to answer in the fewest tokens while preserving technical correctness.

Frequently Asked Questions about ultrashort

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

FAQPage Schema
How do I reduce AI response length and cut output token costs in Claude Code?

To reduce AI response length, use the ultrashort Skill to strip filler tokens, preambles, and summaries while preserving technical accuracy, cutting output token costs by roughly 80%.

What is the best way to get concise technical Q&A and code answers without losing accuracy?

The best way to get concise technical Q&A is applying minimum-token formatting rules that remove transitions and restatements, ensuring code answers retain full technical correctness across multi-turn sessions.

Does token compression work safely for warnings and irreversible actions?

Token compression automatically drops compression for warnings and irreversible actions, applying safety-driven decompression to prevent ambiguity when fragmenting output could create dangerous misunderstandings.

Can I control output compression intensity for different technical prompts?

You can control output compression intensity using tight, ultrashort default, and micro modes, matching the urgency and context of your technical prompts, with an optional code-only output setting.

When should I avoid using minimum-token formatting for AI output?

Avoid using minimum-token formatting when fragmenting text could create ambiguity for critical warnings or irreversible actions, as the safety-aware behavior automatically decompresses responses in these scenarios.