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v1.0.0
GitHub

About this Skill

Perfect for Advanced AI Agents needing robust and testable prompt generation for OpenAI GPT-5 models. openai-gpt5-prompting is a skill that enables the generation of high-quality prompts for AI agents, focusing on clarity, testability, and edge case robustness.

Features

Generates prompts that are unambiguous and testable
Supports system message templates for defining role and priorities
Allows for confirmation of current model names and features with $openai-docs
Enables alignment with desired tradeoffs between speed and reliability
Avoids hardcoding model IDs or limits for improved flexibility

# Core Topics

ijindal1 ijindal1
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
35
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add ijindal1/jaunt/openai-gpt5-prompting

Agent Capability Analysis

The openai-gpt5-prompting MCP Server by ijindal1 is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use openai-gpt5-prompting, openai-gpt5-prompting setup guide, openai-gpt5-prompting alternative.

Ideal Agent Persona

Perfect for Advanced AI Agents needing robust and testable prompt generation for OpenAI GPT-5 models.

Core Value

Empowers agents to create unambiguous and reliable prompts using a system message template that defines role, priorities, safety bounds, and formatting constraints, ensuring alignment with the desired tradeoff between speed and reliability via OpenAI's API and $openai-docs.

Capabilities Granted for openai-gpt5-prompting MCP Server

Generating testable prompts for edge cases
Defining role and priorities for AI tasks
Ensuring safety bounds for sensitive information

! Prerequisites & Limits

  • Requires knowledge of OpenAI GPT-5 models and features
  • Must confirm current model names and features with $openai-docs
Project
SKILL.md
2.4 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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GPT-5 Prompting (OpenAI)

Overview

Use this skill to produce prompts that are: unambiguous, testable, robust to edge cases, and aligned to the desired tradeoff between speed and reliability. Avoid hardcoding model IDs or limits; confirm current model names and features with $openai-docs when needed.

Prompt Pack (Use These Defaults)

System Message Template

Use a system message that defines role, priorities, safety bounds, and formatting constraints.

Required elements:

  • Role: what the model is (and is not) responsible for.
  • Output contract: exact format, sections, and any JSON schema constraints.
  • Non-goals: what to avoid (guessing, inventing APIs, ignoring inputs).
  • Clarification policy: what to ask if required info is missing.

Developer Message Template

Use a developer message for task-specific instructions, context, and constraints (without contradicting system).

Include:

  • Task statement (1 sentence).
  • Inputs provided and their meaning.
  • Constraints and preferences (libraries, time, cost).
  • Acceptance criteria (how you will judge success).

User Message Template

Make the user message concrete and data-heavy:

  • Provide examples (good and bad).
  • Provide edge cases.
  • Provide “definition of done”.

Workflow: Draft -> Test -> Patch

  1. Draft the prompt (system/developer/user separation).
  2. Add 3 to 10 targeted test cases:
  • Typical case, tricky case, adversarial case, empty/degenerate input.
  1. Run a “prompt diff” patch cycle:
  • Identify failure mode (ambiguity, missing constraints, competing goals).
  • Patch the smallest instruction that fixes it.
  • Re-run tests.

Structured Output Guidance

Prefer:

  • Explicit JSON schema (or a strict example) plus “no extra keys”.
  • Deterministic ordering only if needed.
  • “If you cannot comply, return an error object with fields …” (never silently fallback).

Common Failure Modes (And Fixes)

  1. Hallucinated facts:
  • Add: “If unknown, say I don’t know and ask for X.”
  • Add: cite-only-from-provided-sources rule when applicable.
  1. Format drift:
  • Add: strict schema, no prose, and a single top-level object.
  • Add: “Validate output against schema before responding.”
  1. Tool misuse:
  • Add: tool selection rule (“Only call tools when …”), plus examples.
  • Add: “Never fabricate tool outputs.”

References

See references/templates.md for copy-paste prompt templates and a test-case checklist.

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