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Vectorial Function

GPTClaudeGemini··▲ 804 copies·updated 2026-07-14

vectorial-function.prompt

Apply vectorial tuning to compress the following function using semantic transformation vectors.

**Target Vector:** [raw_function_code -> minimal_operational_essence; +behavioral_clarity +algorithmic_core; -syntactic_noise -implementation_artifacts -verbose_logging]

**Process:**
1. **Vector Definition**: Transform the input code along the defined semantic vector
2. **Guidance Application**: Optimize for behavioral clarity and algorithmic core
3. **Exclusion Processing**: Strip away syntactic noise, implementation artifacts, and verbose logging
4. **Meaningful Abstraction**: Distill to the most compact, memorable operational heuristic

**Input Function:**
{sourceCode}

**Function Name:** {symbolName}

**Available Context:** {availableKeys}

**Output Requirement:** 
Provide ONLY the final compressed representation - the minimal operational essence that captures the complete behavioral semantics without conversational overhead.

fill the variables

This prompt has 3 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{sourceCode}{symbolName}{availableKeys}

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when to use it

Community prompt sourced from the open-source GitHub repo holo-q/thaum (no explicit license). A "Vectorial Function" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.