gpt-5-4-prompting

Structure effective Codex prompts for diagnosing failing tests by defining a clear task, establishing an output contract, and setting verification rules to identify the root cause efficiently. This approach guides the model to produce actionable diagnostic results.

The best way to write GPT-5.4 prompts for code review and research tasks is to use task-specific templates that enforce clear task definition and avoid common prompt construction anti-patterns. This ensures high-quality and efficient model outputs.

Yes, you can use Codex prompting templates within the Claude Code plugin. The skill is specifically designed to provide internal guidance for composing effective prompts for coding and research tasks in that environment.

GPT-5.4 coding prompts often produce unstructured outputs because they lack a defined output contract and verification rules. Adding these structured elements guides the model to generate the expected formatting and accurate code.

Common anti-patterns to avoid when constructing Codex prompts include vague task definitions and missing verification rules. Identifying these pitfalls helps structure prompts that yield reliable coding, review, and diagnosis results.