OpenClaw Skillv1.0.0

Prompt Engineering Expert

TomsToolsby TomsTools
Deploy on EasyClawdfrom $14.9/mo

Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents

How to use this skill

OpenClaw skills run inside an OpenClaw container. EasyClawd deploys and manages yours — no server setup needed.

  1. Sign up on EasyClawd (2 minutes)
  2. Connect your Telegram bot
  3. Install Prompt Engineering Expert from the skills panel
Get started — from $14.9/mo
52stars
10,852downloads
126installs
0comments
2versions
Download ZIPView on ClawHub

Latest Changelog

Initial release of the Prompt Engineering Expert skill.

- Provides in-depth guidance on prompt engineering, custom instruction design, and prompt optimization.
- Includes best practices, advanced techniques, evaluation methods, and context management strategies.
- Offers use cases such as prompt refinement, system prompt creation, and debugging.
- Added comprehensive documentation: GETTING_STARTED.md, INDEX.md, START_HERE.md, SUMMARY.md.

Tags

claude: 1.0.0latest: 1.0.0prompt: 1.0.0prompt engineering: 1.0.0

Skill Documentation

---
name: prompt-engineering-expert
description: Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
---

# Prompt Engineering Expert Skill

This skill equips Claude with deep expertise in prompt engineering, custom instructions design, and prompt optimization. It provides comprehensive guidance on crafting effective AI prompts, designing agent instructions, and iteratively improving prompt performance.

## Capabilities

- **Prompt Writing Best Practices**: Expert guidance on clear, direct prompts with proper structure and formatting
- **Custom Instructions Design**: Creating effective system prompts and custom instructions for AI agents
- **Prompt Optimization**: Analyzing, refining, and improving existing prompts for better performance
- **Advanced Techniques**: Chain-of-thought prompting, few-shot examples, XML tags, role-based prompting
- **Evaluation & Testing**: Developing test cases and success criteria for prompt evaluation
- **Anti-patterns Recognition**: Identifying and correcting common prompt engineering mistakes
- **Context Management**: Optimizing token usage and context window management
- **Multimodal Prompting**: Guidance on vision, embeddings, and file-based prompts

## Use Cases

- Refining vague or ineffective prompts
- Creating specialized system prompts for specific domains
- Designing custom instructions for AI agents and skills
- Optimizing prompts for consistency and reliability
- Teaching prompt engineering best practices
- Debugging prompt performance issues
- Creating prompt templates for reusable workflows
Security scan, version history, and community comments: view on ClawHub