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prompt-engineering SKILL.md skillA

prompt-engineering from giuseppe-trisciuoglio/developer-kit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add giuseppe-trisciuoglio/developer-kit/prompt-engineering@git:20260316.68f3ca5

Pins git:20260316.68f3ca5 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: giuseppe-trisciuoglio/developer-kit
Path: plugins/developer-kit-ai/skills/prompt-engineering/SKILL.md
Versions recorded: 5
Latest version: git:20260316.68f3ca5, committed Mar 16, 2026
First version recorded: Feb 8, 2026
Size: 10,377 bytes
Repository stars: 366
License: MIT

Provides workflows to write, debug, and optimize prompts for LLMs, including few-shot example selection, chain-of-thought structuring, system prompt design, and template composition. Use when the user asks to write or improve a prompt, wants help with few-shot examples, chain-of-thought, system prompts, prompt templates, or asks how to get better results from an LLM.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Prompt Engineering

## Overview

Use this skill to design prompt systems that are clear, testable, and reusable.
It covers prompt drafting, optimization, evaluation, and production-oriented
patterns for few-shot prompting, reasoning workflows, templates, and system
prompts.

Keep the main workflow in this file and load the targeted reference files only
for the pattern you are applying.

## When to Use

Use this skill when:

- A user asks to write, rewrite, or improve a prompt
- A prompt needs better structure, reliability, or output formatting
- Few-shot examples or reasoning scaffolds are needed
- A system prompt or reusable prompt template must be created
- An existing prompt needs measurable optimization and testing

Read the relevant files in `references/` when you need deeper guidance on a
specific pattern.

## Core Patterns

### 1. Few-Shot Learning

#### Example Selection Strategy
- Use `references/few-shot-patterns.md` for comprehensive selection frameworks
- Balance example count (3-5 optimal) with context window limitations
- Include edge cases and boundary conditions in example sets
- Prioritize diverse examples that cover problem space variations
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add giuseppe-trisciuoglio/developer-kit/prompt-engineering@sha256:6dc34322d01d44be

The line at the top of this page pins the label git:20260316.68f3ca5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_r633lt67hwlhdpch.svg)](https://markdownregistry.com/a/art_r633lt67hwlhdpch)

7 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Feb 8, 2026 and Mar 16, 2026, about one every 9 days.

version	committed	commit	size	audit
git:20260316.68f3ca5 latest	2026-03-16	68f3ca5	10,377 B	A	view · diff
git:20260315.690e194	2026-03-15	690e194	8,848 B	A	view · diff
git:20260223.c6d4db1	2026-02-23	c6d4db1	13,282 B	A	view · diff
v1.0.0	2026-02-08	d4d771e	13,450 B	A	view · diff
v1.0.0	2026-02-08	147afce	13,461 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (10377 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

giuseppe-trisciuoglio/developer-kit · 366 stars · license MIT · pushed 2026-09-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_r633lt67hwlhdpch
GET https://markdownregistry.com/api/v1/resolve?ref=giuseppe-trisciuoglio/developer-kit/prompt-engineering
GET https://markdownregistry.com/api/v1/blob/6dc34322d01d44be7e429107eba0b9756ae3a17e7167520172d4269f78c1e537

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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