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prompt-engineering-patternsby Seth HobsonDevelopmentGitHub stars: 40.5k

Prompt Engineering Patterns skill: what it does and how to install it

Improves prompts for production LLM applications with few-shot examples, reasoning patterns, reusable templates and structured outputs.

Summary generated from the skill's documentation.

Install

$ npx skills add wshobson/agents --skill prompt-engineering-patterns

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Helps design and refine prompts for LLM applications using few-shot examples, reasoning patterns, reusable templates and structured outputs. It covers iterative testing, output validation, system prompt design and common failure modes, with a LangChain and Pydantic example.

When to use it. Use it when building or debugging prompts for production assistants, especially when outputs need to be consistent, parseable or reusable. It also supports measuring accuracy, latency, token use and success rates.

History

Repo stars

40.5k+245 since 5 Oct 2026

Stars are counted for the whole repository, which holds 26 skills.

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Repo stars by day
DateRepo stars
12 Oct 202640,457
11 Oct 202640,368
10 Oct 202640,319
9 Oct 202640,307
8 Oct 202640,296
7 Oct 202640,267
6 Oct 202640,238
5 Oct 202640,212

Installs

22.8k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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