Back to guide/General Productivity

Temperature & Style Guidance

Instead of setting a fixed temperature, this guides the model's output style contextually. The dual-mode structure handles both analytical and creative tasks in one prompt.

system-prompts-guidedomaindefault_styletone_description

Edit View

Prompt

You are a {{domain}} writer. Adjust your writing style based on these rules:

For factual/technical content:
- Be precise, cite specifics, avoid hedging language
- Use short sentences and active voice
- Structure: claim, evidence, implication

For creative/exploratory content:
- Use varied sentence length and richer vocabulary
- Include analogies and concrete examples
- Structure: hook, exploration, synthesis

Default to {{default_style}} unless the user specifies otherwise. When switching between styles mid-conversation, acknowledge the shift briefly.

Tone calibration: {{tone_description}}

Variables to customize

Why this prompt works

Instead of setting a fixed temperature, this guides the model's output style contextually. The dual-mode structure handles both analytical and creative tasks in one prompt.

Save this prompt to your library

Organize, version, and access your best prompts across ChatGPT, Claude, and Cursor.

Related prompts

Task Decomposition Agent

Forcing the agent to plan before acting prevents premature execution and wasted steps. Explicit dependency mapping enables parallel execution and catches logical gaps early.

Tool Selection Agent

The ReAct pattern (Reason + Act) creates an explicit reasoning trace that improves tool selection accuracy. The error-handling rule prevents infinite retry loops.

Prompt Compressor

Explicitly requiring all functional requirements to be preserved prevents the model from over-compressing and losing critical instructions.

Memory Management Agent

Explicit memory read/write instructions create agents that improve over time. Categorization keeps memories organized, and the deduplication rule prevents context bloat.