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prompt-engineering-patterns

8.7

by wshobson

73Favorites
264Upvotes
0Downvotes

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

prompt-engineering

8.7

Rating

0

Installs

AI & LLM

Category

Quick Review

Exceptional prompt engineering skill with comprehensive coverage of advanced techniques. The description clearly articulates when to use the skill, and the content delivers extensive task knowledge through 6 detailed patterns with production-ready code examples covering few-shot learning, chain-of-thought, structured outputs, error recovery, and optimization. Structure is excellent with logical organization from quick start to advanced patterns, though the single-file format is slightly dense. High novelty as mastering these patterns would typically require extensive LLM interaction and experimentation; this skill consolidates best practices, anti-patterns, and optimization strategies that would otherwise consume significant tokens and time to discover.

LLM Signals

Description coverage10
Task knowledge10
Structure9
Novelty8

GitHub Signals

26,432
2,921
268
15
Last commit 3 days ago

Publisher

wshobson

wshobson

Skill Author

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Publisher

wshobson avatar
wshobson

Skill Author

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