Prompt Engineering
Skill Verified ActiveUse this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
Enhance LLM performance, reliability, and controllability through advanced prompt engineering techniques and structured communication patterns.
Features
- Few-Shot Learning examples and usage
- Chain-of-Thought prompting for complex reasoning
- Prompt optimization strategies and iteration
- Template systems for reusable prompt structures
- System prompt design for stable instructions
Use Cases
- Teaching LLMs through examples for consistent formatting or reasoning.
- Improving accuracy on complex analytical tasks by requesting step-by-step reasoning.
- Systematically refining prompts for production use to ensure consistency and cost-efficiency.
- Building reusable prompt structures for multi-turn conversations or role-based interactions.
Non-Goals
- Generating code directly.
- Interacting with external services or APIs.
- Managing project dependencies or file structures.
Workflow
- Understand prompt engineering principles.
- Apply techniques like Few-Shot Learning or Chain-of-Thought.
- Optimize prompts through testing and iteration.
- Design reusable prompt templates and system prompts.
- Integrate with LLM workflows for improved results.
Practices
- Prompt engineering
- LLM interaction design
- Agent communication
Installation
First, add the marketplace
/plugin marketplace add NeoLabHQ/context-engineering-kit/plugin install customaize-agent@context-engineering-kitQuality Score
VerifiedTrust Signals
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