prompt-engineering

Engineer Claude prompts to generate accessible HTML pages across depth levels 0-4.

Updated Jan 17, 2026
One-click install
npx skills add https://github.com/BPMSTC/websiteagent --skill prompt-engineering-bpmstc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-engineering
Source: https://github.com/BPMSTC/websiteagent/tree/main/.claude/skills/prompt-engineering
Command: npx skills add https://github.com/BPMSTC/websiteagent --skill prompt-engineering-bpmstc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prompt engineering for Claude API enables you to craft precise prompts, manage context, and design system prompts to produce consistent, accessible HTML pages across depth levels.

Core Features & Use Cases

  • Clear Instructions: Be specific about what you want Claude to do
  • Context First: Provide all necessary context before asking
  • Examples Work: Show examples of desired output
  • Constraints Matter: Define boundaries and rules explicitly
  • Iterate and Test: Refine prompts based on actual outputs
  • System Prompt Structure: The system prompt in server/prompts/system.txt is the foundation of Claude's behavior for HTML generation
  • Depth Level Enforcement: Ensure pages match the requested depth (0-4) with gating rules
  • Style Flags Support: Accessibility, Visual-heavy, Technical, Conversational, Humor
  • Testing & Validation: Build prompts that are robust across inputs and edge cases

Quick Start

Generate a Claude-driven educational HTML page at depth 2 with accessibility and visual-heavy style flags.

Frequently Asked Questions about prompt-engineering

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

FAQPage Schema
How do I write Claude prompts to generate self-contained HTML pages?

To generate self-contained HTML pages with Claude, design structured system prompts that provide explicit context, define constraints, and enforce inline CSS and accessibility considerations. Using a structured prompt workflow ensures consistent and reliable output.

What is depth level enforcement in Claude API prompt engineering?

Depth level enforcement in Claude API prompt engineering ensures generated content matches a requested complexity tier from 0 to 4. It uses gating rules within the system prompt to control content depth, ensuring outputs satisfy specific structural requirements.

How do I manage conversation context when using the Claude API for HTML generation?

Manage conversation context for Claude API HTML generation by providing all necessary background information first. Establish a clear system prompt structure to define boundaries, then iterate and test prompts based on actual outputs to maintain reliability.

Can I enforce accessibility requirements in Claude-generated HTML pages?

Yes, you can enforce accessibility requirements in Claude-generated HTML pages by applying accessibility style flags within your system prompt. Defining these constraints explicitly ensures Claude consistently produces accessible output.

What is the best way to structure a system prompt for the Claude API?

The best way to structure a Claude API system prompt is to start with clear instructions, provide context first, include examples, and explicitly define constraints. This foundation drives reliable behavior and robust outputs across varied inputs.

Why do my Claude prompts produce inconsistent HTML outputs?

Claude prompts produce inconsistent HTML outputs when they lack explicit constraints, clear instructions, or sufficient context. Refine prompts by adding examples, defining boundaries, and testing edge cases to achieve robust and reliable generation.