CLN Prompt Library

CLN Wiki · Resource for #llm

CLN Prompt Library TOOL

= 20 ready-to-use prompts @ LLM Interaction

SUMMARY click to copy as CLN

=Prompt Library — structured commands to force CLN output

.Works with Claude, GPT, Grok, Gemini

.01 · Basic Prompts

→Text-to-CLN, Summarizer

.02 · Analysis Prompts

→Debate, Dialectic, Counter-Arg

.03 · Creative Prompts

→Ideation, Persona Sim

Copy, paste, generate. Double-click any CLN line to anchor it. Right-click to tagmarry or record a decision.

01// Definition Term

// ##PL-DEF

=CLN Prompt — an instruction designed to make an LLM output Cognitive Ladder Notation

.Requires specifying operators (= . →) in the prompt

!Models often add "fluff"; prompts must explicitly forbid it

02// Basic Prompts Logic

// ##PL-BASIC

*Prompt 1: The Converter

.Goal: Turn any text into CLN

-Prompt:

Analyze the text below. Output ONLY Cognitive Ladder Notation (CLN). Rules: 1. Use operators: = (definition), . (property), → (implication). 2. Use 4-space indentation for nesting. 3. No markdown, no bold, no chatter. Text: [INSERT TEXT]

*Prompt 2: The Summarizer

.Goal: Summarize a long article

-Prompt:

Summarize the provided article into CLN format. Focus on the core argument chain (→). Max 15 lines. Output: [CLN BLOCK]

*Prompt 3: The Concept Extractor

.Goal: Define key terms

-Prompt:

Extract all key concepts from the text. For each concept, provide: = [Concept Name] . [Core definition in 5 words] Output as a CLN list.

*Prompt 4: The Meeting Logger

.Goal: Structure meeting notes

-Prompt:

Convert these meeting notes into CLN. Use ! for action items and → for decisions. Input: [NOTES]

*Prompt 5: The Book Digger

.Goal: Extract mental models from a book

-Prompt:

Analyze this book chapter. Output a CLN "Knowledge Tree": = [Main Thesis] . [Supporting Argument 1] → [Evidence] Focus on logical structure.

03// Analysis Prompts Analysis

// ##PL-ANAL

→Prompt 6: The Dialectic Engine

.Goal: Thesis-Antithesis-Synthesis

Generate a dialectical analysis in CLN: = [Topic] . Thesis: [View A] . Antithesis: [View B] → Synthesis: [Resolution]

→Prompt 7: The Counter-Argument Generator

.Goal: Strengthen a claim

Take this CLN argument: [INPUT CLN] Generate a counter-argument in CLN using ~ (approx) and ! (constraint).

→Prompt 8: The Logic Checker

.Goal: Find fallacies

Analyze this CLN block for logical fallacies. Output: = [Argument] ! [Fallacy Name] → [Correction]

→Prompt 9: The Perspective Shifter

.Goal: See from another view

Re-write this CLN from the perspective of a [Persona, e.g., Cyberpunk Hacker]. Keep the structure, change the semantics.

→Prompt 10: The Causality Mapper

.Goal: Chain of events

Map the causal chain in this text. Use → for direct causation. Use ~ for correlation.

04// Creative Prompts Implication

// ##PL-CRE

~Prompt 11: The Idea Generator

Generate 5 novel ideas for [TOPIC]. Format: = [Idea Name] . [Core mechanic] → [Expected outcome]

~Prompt 12: The Persona Simulator

Simulate [FAMOUS THINKER]. Analyze [TOPIC] in CLN format using their mental models.

~Prompt 13: The Hybridizer

Combine [Concept A] and [Concept B]. Output a new concept in CLN: = [New Concept] . Properties from A . Properties from B → Synergy

~Prompt 14: The Spec Enforcer

Check this CLN against the CLN Spec. If invalid, fix indentation or operators. Input: [CLN BLOCK]

~Prompt 15: The Metaphor Machine

Create a CLN metaphor for [Abstract Concept]. Use * for concrete examples. = [Metaphor] . [Mapping 1] . [Mapping 2]

// ##PL-OPEN

?Can an LLM learn to "think" in CLN natively with fine-tuning?