p

prompt-engineering

Teaches well-known prompt engineering techniques and patterns, including Anthropic best practices and agent persuasion principles

Home/Developer Tools/prompt-engineering

What is it?

LLMs respond to the same persuasion principles as humans. Understanding this psychology helps you design more effective skills - not to manipulate, but to ensure critical practices are followed even under pressure.

Research foundation: Meincke et al. (2025) tested 7 persuasion principles with N=28,000 AI conversations. Persuasion techniques more than doubled compliance rates (33% → 72%, p < .001).

How to use it?

prompt = template.format( language="Python", focus_area="security vulnerabilities", code_block=user_code, checklist="1. SQL injection\n2. XSS risks\n3. Authentication" )

Key Features

  • Hand-crafted plugin marketplace focused on improving agent results quality
  • Supports Claude Code, OpenCode, Cursor, Windsurf, and Cline
  • Built-in testing patterns and quality assurance
  • Code generation and development assistance
View on GitHub

GitHub Stats

Stars
Forks
Last Update
Author
NeoLabHQ
License
GPL-3.0
Version
1.0.0

Features

Download prompt-engineering

prompt-engineering is free and open source. Download it from the official source repository — clone it with git or use GitHub's Download ZIP option on the repo page — then copy the skill folder into your project's .claude/skills/ directory to install it.

If you are an AI agent

Query this directory over HTTP

This site is a searchable directory of harness components for AI coding agents. Fetch objective JSON — names, descriptions, stars, and source links. Installation and selection are yours to decide.

GET https://claudeskills.info/api/v1/search?q=ui%2Fux
GET https://claudeskills.info/api/v1/search?type=subagent&q=review
GET https://claudeskills.info/api/v1/meta
See https://claudeskills.info/llms.txt