gpt-5-5-prompt-writer

Craft optimized GPT-5.5 prompts for agentic coding workflows.

15|4|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/yz5e/agent-skills --skill gpt-5-5-prompt-writer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpt-5-5-prompt-writer
Source: https://github.com/yz5e/agent-skills/tree/main/skills/gpt-5-5-prompt-writer
Command: npx skills add https://github.com/yz5e/agent-skills --skill gpt-5-5-prompt-writer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The GPT-5.5 Prompt Writer helps teams craft precise, high-performance prompts for GPT-5.5, Codex CLI, and Responses API workflows, enabling reliable, agentic automation with explicit instructions and evaluation loops.

Core Features & Use Cases

  • Outcome-first prompt design for GPT-5.5 sessions and tool-enabled workflows.
  • Supports explicit reasoning.effort, text.verbosity, XML block contracts, persistence, decision rules, verification loops, and tool-use parallelism.
  • Use Case: optimize prompts for long-horizon coding tasks, iterative tool orchestration, and robust result verification.

Quick Start

Draft a GPT-5.5 prompt to drive a long-horizon coding task from the given repo and environment.

Frequently Asked Questions about gpt-5-5-prompt-writer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write GPT-5.5 prompts for long-horizon agentic coding workflows?

To write GPT-5.5 prompts for agentic coding workflows, you need outcome-first task statements, explicit verification loops, reasoning.effort guidance, text.verbosity settings, and XML block contracts to ensure reliable multi-step task execution.

What is the best way to structure prompts for the Codex CLI and Responses API?

The best way to structure prompts for the Codex CLI and Responses API is to apply explicit tool-use parallelism, decision rules, and XML block contracts, enabling robust result verification and iterative tool orchestration across long-horizon coding tasks.

How do I set up verification loops in GPT-5.5 tool-enabled agent workflows?

Verification loops in GPT-5.5 tool-enabled agent workflows are set up by defining explicit decision rules and persistence within your prompt, ensuring the agent evaluates outputs against expected conditions before proceeding to the next multi-step task.

Does the GPT-5.5 Prompt Writer support reasoning.effort and text.verbosity configuration?

Yes, the GPT-5.5 prompt design process explicitly supports configuring reasoning.effort and text.verbosity parameters, alongside XML block contracts and tool-use parallelism, to optimize agentic automation for complex coding tasks.

When do I need XML block contracts in agentic coding prompts?

You need XML block contracts in agentic coding prompts when executing long-horizon, multi-step tasks that require strict output parsing, explicit tool orchestration, and reliable verification loops across Codex CLI and Responses API environments.