promptmaker

Generate XML prompts for expert AI agents from a centralized knowledge base.

2|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/syrtsovk/Syrtsovk_toolkit --skill promptmaker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: promptmaker
Source: https://github.com/syrtsovk/Syrtsovk_toolkit/tree/main/skills/promptmaker
Command: npx skills add https://github.com/syrtsovk/Syrtsovk_toolkit --skill promptmaker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Generates ready-to-use XML prompts for expert AI agents by integrating knowledge from a centralized knowledge base and enforcing a strict XML frontmatter structure. This Skill ensures prompts are actionable, reusable, and compliant with organizational guidelines, preventing direct task-solving and enabling consistent outcomes across domains.

Core Features & Use Cases

  • Knowledge-driven prompt generation: pulls content from references/system-instructions.md and references/knowledge-base.md to craft precise prompts.
  • Self-Refine workflow: executes 3 iterative improvements focused on structure, content quality, and professionalism.
  • Constitutional Principles compliance: enforces specificity, imperative voice, measurable metrics, and safety considerations.
  • Single-block, copy-paste ready: outputs a complete XML block suitable for Claude Code or Claude.ai integrations.
  • Domain-agnostic applicability: usable across marketing, software, design, HR, finance, and more for expert prompts.

Quick Start

Provide a ready-to-use prompt by following the knowledge base guidelines and the Self-Refine iterations.

Frequently Asked Questions about promptmaker

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

FAQPage Schema
How do I generate ready-to-use XML prompts for AI agents?

To generate ready-to-use XML prompts for AI agents, provide your task requirements to trigger a knowledge-driven creation process. The system integrates centralized knowledge bases and applies self-refine iterations to output a single copy-paste code block.

How does the self-refine process improve prompt generation?

The self-refine process improves prompt generation by executing three iterative improvements focused on structure, content quality, and professionalism. This ensures the final XML prompt meets strict constitutional principles and includes explicit metrics.

What are the 10 Constitutional Principles for XML prompt engineering?

The 10 Constitutional Principles for XML prompt engineering enforce specificity, imperative voice, measurable metrics, and safety considerations. They ensure generated prompts are actionable, reusable, and compliant with organizational guidelines across domains.

Can I use this prompt generation process for custom GPT configurations?

Yes, you can use this prompt generation process for custom GPT configurations across marketing, software, design, and finance. It outputs a complete XML block suitable for Claude Code, Claude.ai integrations, and other expert AI agent setups.

Do I need a centralized knowledge base to create system instructions?

Yes, a centralized knowledge base is required to create system instructions. The generation process pulls content from system-instructions and knowledge-base references to craft precise prompts that prevent direct task-solving and enable consistent outcomes.