ai-pm-method-ai-engineering

ai-pm-method-ai-engineering is a Product strategy & roadmaps skill for AI agents, published by SpaceZephyr in the career.skill repository on GitHub. Skillspace rates ai-pm-method-ai-engineering D (62/100) and it passed the safety scan; the rating is based on static analysis only.

《AI Engineering: Building Applications with Foundation Models》(Chip Huyen, O'Reilly 2025) 方法论。 把 Huyen 的 evaluation-driven development、三层 AI stack、prompt/RAG/finetune 决策树、agent 设计模式 转化为 AI PM 可执行的判断框架。用于 AI 需求评审、方案讨论、发布决策。每条规则标注原书章节。 触发词：「AI Engineering」「Chip Huyen」「evaluation-driven development」「EDD」 「RAG vs fine-tune」「agent 设计」「AI 上线」「AI 评测集」「模型选型」。

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
122

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubSpaceZephyr/career.skill

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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