Advanced prompt engineering skill for pi-mono ecosystem.
3.7
Rating
0
Installs
AI & LLM
Category
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.
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