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prompt-engineering

7.5

by davila7

130Favorites
322Upvotes
0Downvotes

Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.

prompting

7.5

Rating

0

Installs

AI & LLM

Category

Quick Review

This skill provides comprehensive, well-structured guidance on prompt engineering with clear examples and practical patterns. The description accurately reflects capabilities, and the content delivers substantial task knowledge including specific techniques (few-shot learning, chain-of-thought, template systems) with concrete examples. Structure is logical with clear sections and progressive complexity. However, novelty is moderate—while the skill consolidates valuable knowledge, most techniques are widely known and a capable CLI agent could generate similar guidance, though less systematically. The skill's main value is as a curated reference that saves tokens and ensures consistency rather than enabling fundamentally new capabilities. Strong execution of a moderately novel concept.

LLM Signals

Description coverage8
Task knowledge9
Structure8
Novelty5

GitHub Signals

18,239
1,655
133
73
Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

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Publisher

davila7 avatar
davila7

Skill Author

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