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divert

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Reveal hidden reasoning by diverting output.

Design & Creative#LLM#cross-domain#creative-thinking#tail-output#divert#prompt-diversion#non-modal
AuthorWondermonger-daydreaming
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Recoding-Decoding exposes hidden knowledge in language models by allowing users to surface tail outputs and alternative perspectives that standard decoding hides.

Core Features & Use Cases

  • Tail-access generation: surface non-modal outputs by priming prompts and diversification stems.
  • Mode switches: supports Default (--random), Thick (--thick [concept]), Compare (--compare), Blind (--blind), Chain (--chain [n]), Collision (--collision [A] × [B]).
  • Modifier integration: can be used as a prefix modifier to other skills like /poetry or /paper-riffing.

Quick Start

Invoke the divert mode with a prompt like '/divert' to surface alternative outputs.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: divert
Download link: https://github.com/Wondermonger-daydreaming/claude-skills-library/archive/main.zip#divert

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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