Updated today
by jhljx
RecSys-Industrial-Book
《推荐系统：工业架构与核心算法》开源书稿
460 GitHub stars (460)
- 7 skills (7 skills found in its SKILL.md files)
- 31 forks (31 forks)
- Today last update (Last updated today)
Install
Skills CLI
npx skills add jhljx/RecSys-Industrial-Book
Asks which skills and agents to install. Just one: npx skills add jhljx/RecSys-Industrial-Book --skill recsys-architecture-review — add -g for every project.
Claude Code
git clone https://github.com/jhljx/RecSys-Industrial-Bookcp -r "RecSys-Industrial-Book/.agents/skills/recsys-architecture-review" ~/.claude/skills/
Copies the recsys-architecture-review skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add jhljx/RecSys-Industrial-Book
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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recsys-architecture-review
Review recommendation-system code, architecture, experiment, or design for correctness, serving safety, offline-online consistency, capacity, observability, and rollback gaps.
.agents/skills/recsys-architecture-review/SKILL.md on GitHub (opens in a new tab) -
recsys-book-qa
Answer recommendation-system questions from the released book PDFs with chapter and page citations. Use for explanations, comparisons, formulas, architecture concepts, and questions asking what the book says.
.agents/skills/recsys-book-qa/SKILL.md on GitHub (opens in a new tab) -
recsys-debugging
Diagnose recommendation quality, traffic, feature, model, retrieval, ranking, latency, timeout, overload, degradation, or logging regressions using an evidence-first decision tree.
.agents/skills/recsys-debugging/SKILL.md on GitHub (opens in a new tab) -
recsys-engineering
Design, implement, debug, and review industrial recommendation-system architecture or algorithms using released PDFs, curated examples, and runnable templates.
.agents/skills/recsys-engineering/SKILL.md on GitHub (opens in a new tab) -
recsys-experiments
Run and extend the repository's recommendation-system projects covering the ranking funnel, two-tower ANN, point-in-time feature consistency, and online serving reliability.
.agents/skills/recsys-experiments/SKILL.md on GitHub (opens in a new tab) -
recsys-learning-coach
Build a grounded recommendation-system study plan, explain a topic for a graduate student or new engineer, and track local progress. Use for learning, revision, interview preparation, and deciding what to study next.
.agents/skills/recsys-learning-coach/SKILL.md on GitHub (opens in a new tab) -
recsys-system-design
Design an industrial recommendation system or subsystem with explicit scale, latency, freshness, consistency, availability, privacy, cost, degradation, observability, and rollout constraints.
.agents/skills/recsys-system-design/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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