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Llm Prompting

GPTClaudeDeepSeek··1,234 copies·updated 2026-07-14
llm-prompting.prompt
# LLM prompting

Prompting is the art and engineering of instructing a language model to produce the desired output. Although it's sometimes trivialized as "writing well", there are specific patterns, technical trade-offs, and architectural decisions behind the prompt that separate a reliable system from one that works by miracle.

## System prompt vs user prompt

Modern LLMs accept two main instruction channels:

- **System prompt**: persistent instructions that define role, behavior, constraints. Processed before any user message. The model treats them with higher priority than instructions injected into a user message.
- **User prompt**: what the end user writes. Treated as input to process.

when to use it

Community prompt sourced from the open-source GitHub repo FrancoCazal/WhisperDocs (NOASSERTION). A "Llm Prompting" 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.

tags

codingcommunitydeveloper

source

FrancoCazal/WhisperDocs · NOASSERTION