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ai-product

5.7

by davila7

123Favorites
82Upvotes
0Downvotes

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

ai-product

5.7

Rating

0

Installs

AI & LLM

Category

Quick Review

The skill addresses a valuable domain (production AI product development) with good structural organization and clear anti-patterns. However, it suffers from incomplete implementation: the Sharp Edges table lists solutions but provides no actual code or detailed steps. The Patterns section names important concepts but lacks implementation details. While the description adequately conveys the skill's purpose, a CLI agent would struggle to execute concrete tasks since critical knowledge appears to be outlined but not delivered. The novelty is moderate—these are important production concerns, but the skill currently reads more as a checklist than actionable guidance. With complete implementation of the referenced solutions and pattern details, this could be a strong skill.

LLM Signals

Description coverage5
Task knowledge3
Structure6
Novelty4

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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