gpt-5-2-prompting

Mitigate ambiguity in GPT-5.2 prompts by using structured templates that define clear scope and context boundaries. These guidelines address lower verbosity and stronger instruction following to maximize output accuracy and efficiency.

Migrate system prompts to GPT-5.2 by adjusting for its lower verbosity and stronger instruction following compared to previous GPT models. The skill defines specific anti-patterns to avoid during prompt migration and optimization.

Control verbosity and scope in GPT-5.2 prompt design by applying structured templates tailored for the model's behavioral characteristics. This ensures optimal performance, strict instruction adherence, and highly controlled output generation.

Common anti-patterns in GPT-5.2 prompt engineering involve ignoring its lower verbosity and stronger instruction following. The skill defines these ineffective prompt designs to help avoid them and maximize instruction adherence.

GPT-5.2 handles long-context prompts and ambiguity mitigation using structured templates that enforce clear scope and context boundaries. This ensures controlled output and maximizes accuracy during complex reasoning or data extraction tasks.