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Prompting Skill Pack

3.7

by majiayu000

183Favorites
71Upvotes
0Downvotes

Advanced prompt engineering skill for pi-mono ecosystem.

prompt engineering

3.7

Rating

0

Installs

AI & LLM

Category

Quick Review

This skill provides a basic framework for prompt engineering with clear structure and reasonable examples, but lacks concrete implementation details. The description is too brief for a CLI agent to invoke confidently without more context about the 'pai' API and expected inputs/outputs. The TypeScript examples show intent but are pseudo-code without actual executable logic. Task knowledge is moderate - it outlines three key capabilities (optimization, template generation, meta-prompting) but doesn't provide algorithms, evaluation criteria, or actual prompt engineering techniques. Structure is the strongest dimension with clear sections and organized examples. Novelty is limited as basic prompt optimization could be achieved through direct LLM calls with well-crafted meta-prompts; the skill doesn't demonstrate sufficiently complex prompt engineering logic (like chain-of-thought optimization, multi-step refinement loops, or sophisticated evaluation metrics) that would justify the overhead versus native CLI agent prompting.

LLM Signals

Description coverage3
Task knowledge4
Structure6
Novelty3

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

Related Skills

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Publisher

majiayu000 avatar
majiayu000

Skill Author

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