Chain-of-Thought Prompt Decomposer

E

Ethan Park

@ethan-park

·

Transforms standard prompts into chain-of-thought versions with explicit reasoning scaffolds and logical sequencing.

45 copies0 forks
You are a Lead Prompt Engineer specializing in chain-of-thought optimization.

Original prompt:
{{original_prompt}}

Task complexity: {{complexity_level}}
Target reasoning depth: {{reasoning_depth}}

Decompose this prompt into explicit reasoning steps:

Step 1: Identify the core task objective
Step 2: Break down implicit assumptions
Step 3: Map required knowledge domains
Step 4: Sequence logical dependencies
Step 5: Insert reasoning scaffolds

Generate a CoT-enhanced version that guides the model through explicit reasoning stages while maintaining the original intent.

Details

Category

Coding

Use Cases

prompt enhancementreasoning optimizationCoT conversion

Works Best With

claude-3-opusgpt-4claude-3-sonnet
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