prompt-engineering
Provides prompt design patterns and reasoning structures like Chain of Thought for building robust LLM-integrated systems.
Install
mkdir -p .claude/skills/prompt-engineering-iletai && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15338" && unzip -o skill.zip -d .claude/skills/prompt-engineering-iletai && rm skill.zipInstalls to .claude/skills/prompt-engineering-iletai
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use when "writing prompts", "prompt optimization", "few-shot learning", "chain of thought", or asking about "RAG systems", "agent workflows", "LLM integration", "prompt templatesKey capabilities
- →Optimize LLM prompts using various techniques
- →Build Retrieval Augmented Generation (RAG) systems
- →Design agent workflows with tool integration
- →Create few-shot examples for pattern learning
- →Structure chain-of-thought reasoning for complex tasks
- →Specify output formats like JSON for parsing
How it works
The skill describes methods for structuring prompts with components like role, task, format, examples, and constraints. It details patterns such as Chain of Thought and Few-Shot learning to guide model behavior.
Inputs & outputs
When to use prompt-engineering
- →Optimizing LLM prompts
- →Building a RAG pipeline
- →Creating prompt templates
About prompt-engineering
Offers techniques for prompt optimization, few-shot learning, and structured output parsing. Helps build reliable RAG pipelines and agent workflows.
Use when "writing prompts", "prompt optimization", "few-shot learning", "chain of thought", or asking about "RAG systems", "agent workflows", "LLM integration", "prompt templates
When not to use it
- →When the task does not involve LLM interaction
- →When the goal is not to improve prompt effectiveness
- →When there is no need for structured output or agentic behavior
Limitations
- →The skill focuses on prompt engineering, RAG, and agent workflows.
- →It does not cover general software development or non-LLM related tasks.
- →The effectiveness depends on the quality of example selection and prompt iteration.
How it compares
This skill provides structured guidance and specific patterns for prompt construction, unlike manually crafting prompts without an underlying methodology.
Compared to similar skills
prompt-engineering side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| prompt-engineering (this skill) | 0 | 3mo | No flags | Intermediate |
| senior-prompt-engineer | 0 | 2mo | Review | Advanced |
| prompt-caching | 14 | 6mo | No flags | Intermediate |
| dspy | 4 | 7mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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