Can I use this for multi-agent orchestration?

Absolutely. It is specifically designed to optimize requests for orchestrator execution and multi-task routing.

Does it provide debugging strategies for prompts?

Yes, it includes patterns for iterative refinement, A/B testing variations, and measuring performance metrics.

Does this skill support structured data formats?

Yes, it includes specific patterns for JSON mode and Pydantic schema enforcement to ensure Claude's responses are reliable and parsable.

What is the 'Context-First' principle?

It is a prompting strategy that establishes background information and constraints before the specific request to prime the model and minimize hallucinations.

How does this skill handle vague requests?

It analyzes the request complexity and expands it into a structured XML format including task type, expanded context, and measurable success criteria.

Prompt Engineering Patterns

Name: Prompt Engineering Patterns
Author: eroslifestyle

byeroslifestyle

0•

Developer Tools

Transforms vague user requests into high-performance, structured LLM instructions using advanced context-first and chain-of-thought patterns.

The Prompt Engineering Patterns skill serves as a sophisticated pre-processor for Claude, designed to maximize model reliability and controllability. It applies the 'Context-First' principle to establish ground truth before executing tasks, significantly reducing hallucinations and improving output relevance. By automatically analyzing request complexity and task types, this skill expands ambiguous commands like 'fix this' or 'optimize' into detailed XML-structured action plans complete with specific success criteria, approach steps, and anti-patterns. Whether implementing few-shot learning or enforcing structured JSON outputs, this tool ensures Claude operates with the highest degree of technical precision.

Key Features

01Vague request expansion into structured XML action plans

02Structured output enforcement for reliable programmatic parsing

03Context-First request restructuring to establish ground truth

04Automated task categorization (Bug Fix, Feature, Refactor, etc.)

050 GitHub stars

06Chain-of-thought and few-shot reasoning elicitation

Use Cases

01Debugging inconsistent model outputs through iterative refinement patterns

02Optimizing ambiguous or incomplete user prompts before orchestrator execution

03Designing robust system prompts for specialized AI coding assistants

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eroslifestyle/claude-orchestrator-plugin prompt-engineering-patterns

For use in Claude.ai and ChatGPT

Key Features

01Vague request expansion into structured XML action plans

02Structured output enforcement for reliable programmatic parsing

03Context-First request restructuring to establish ground truth

04Automated task categorization (Bug Fix, Feature, Refactor, etc.)

050 GitHub stars

06Chain-of-thought and few-shot reasoning elicitation

Use Cases

01Debugging inconsistent model outputs through iterative refinement patterns

02Optimizing ambiguous or incomplete user prompts before orchestrator execution

03Designing robust system prompts for specialized AI coding assistants

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eroslifestyle/claude-orchestrator-plugin prompt-engineering-patterns

For use in Claude.ai and ChatGPT