Prompt Engineering

by nimadorostkar

Prompt Engineering is an AI Engineering skill for Claude Code, published by nimadorostkar in Claude-Skills-collection.

18 stars2 forkson nimadorostkar/Claude-Skills-collectionAdded 2026/07/16+13% in starsRepository updated 2026/07/14

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Install Prompt Engineering

Copy Prompt Engineering into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/nimadorostkar/Claude-Skills-collection/tree/main/skills/ai/prompt-engineering ~/.claude/skills/prompt-engineering

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nimadorostkar/Claude-Skills-collection.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/ai/prompt-engineering/SKILL.md in nimadorostkar/Claude-Skills-collection
Installs to: ~/.claude/skills/prompt-engineering
Collection: One of 50 skills cataloged from this repository
Category: AI Engineering — 3670 skills

What Prompt Engineering does

Write and improve prompts for language models. Covers instruction design, few-shot examples, reasoning elicitation, output formatting, and systematic failure diagnosis.

Prompt Engineering is cataloged under AI Engineering on DirSkills. Prompt Engineering comes from a repository tagged ai, claude, claude-skills and skills.

Documentation

README

Excerpt

Write prompts that produce the right output reliably, and diagnose the ones that do not. Prompt engineering is an empirical discipline: the model's actual behavior, measured, beats any theory about what should work.

When to Use

Writing a prompt for a production feature.
A prompt that works most of the time and fails unpredictably.
Reducing token cost or latency without losing quality.
Migrating a prompt between models.

Capabilities

Instruction design: role, task, constraints, and output contract.
Few-shot examples, and selecting the ones that teach the boundary.
Reasoning elicitation for tasks that need it.
Output formatting and structured extraction.
Failure diagnosis and systematic iteration.

Inputs

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Prompt Engineering

What else does nimadorostkar publish alongside Prompt Engineering?
Prompt Engineering is one of 50 skills that DirSkills catalogs from nimadorostkar/Claude-Skills-collection, the repository it ships in. Its siblings there include API Design, Agent Design and Agent Instructions. Each one is a separate skill with its own page in this directory, installs the same way Prompt Engineering does, and is maintained by nimadorostkar in that same repository. The rest of the collection is listed on the nimadorostkar/Claude-Skills-collection page.
How does Prompt Engineering compare to other AI Engineering skills?
Prompt Engineering ranks #3600 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Prompt Engineering against them. Open each page to compare what they document and how they install.