# Prompt Engineering

Prompt engineering patterns including structured prompts, chain-of-thought, few-shot...

- Repository: https://github.com/rohitg00/awesome-claude-code-toolkit (2800 stars)
- Category: Design
- License: Apache-2.0
- Last updated: 2026-05-12
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add rohitg00/awesome-claude-code-toolkit --skill prompt-engineering -g -a claude-code -y`
Codex: `npx skills add rohitg00/awesome-claude-code-toolkit --skill prompt-engineering -g -a codex -y`
Cursor: `npx skills add rohitg00/awesome-claude-code-toolkit --skill prompt-engineering -g -a cursor -y`
Gemini CLI: `npx skills add rohitg00/awesome-claude-code-toolkit --skill prompt-engineering -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add rohitg00/awesome-claude-code-toolkit`

## Description

Prompt engineering patterns including structured prompts, chain-of-thought, few-shot learning, and system prompt design

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Prompt Engineering

## Structured System Prompt

```
You are a senior code reviewer. Your role is to analyze pull requests for:
1. Correctness - logic errors, edge cases, off-by-one errors
2. Security - injection, authentication, data exposure
3. Performance - N+1 queries, unnecessary allocations, missing indexes
4. Maintainability - naming, complexity, test coverage

For each issue found, respond with:
- Severity: critical | warning | suggestion
- File and line reference
- What is wrong
- How to fix it (with code snippet)

If the code is well-written, say so briefly. Do not invent problems.
```

Structure system prompts with role, scope, output format, and constraints. Be explicit about what the model should NOT do.

## Chain-of-Thought

```
Analyze this database query for performance issues.

Think step by step:
1. Identify the tables and joins involved
2. Check if appropriate indexes exist for the WHERE and JOIN conditions
3. Look for full table scans or cartesian products
4. Estimate the row count at each step
5. Suggest specific index creation or query restructuring

Query:
SELECT o.*, u.name, p.title
FROM orders o
JOIN users u ON o.user_id = u.id
JOIN products p ON o.product_id = p.id
WHERE o.created_at > '2024-01-01'
AND u.country = 'US'
ORDER BY o.created_at DESC
LIMIT 50;
```

Chain-of-thought prompting improves accuracy on reasoning tasks by forcing the model to show intermediate steps.

## Few-Shot Examples

```
Convert natural language to SQL. Follow these examples:

Input: "How many orders were placed last month?"
Output: SELECT COUNT(*) FROM orders WHERE created_at >= DATE_TRUNC('month', CURRENT_DATE - INTERVAL '1 month') AND created_at < DATE_TRUNC('month', CURRENT_DATE);

Input: "Top 5 customers by total spending"
Output: SELECT customer_id, SUM(total_amount) AS total_spent FROM orders GROUP BY customer_id ORDER BY total_spent DESC LIMIT 5;

The rest: https://github.com/rohitg00/awesome-claude-code-toolkit/blob/HEAD/skills/prompt-engineering/SKILL.md