Interview Guide

VERIFIED

基于 Spring Boot 4.0 + Java 21 + Spring AI + PostgreSQL + pgvector + RustFS + Redis,实现简历智能分析、AI模拟面试、知识库RAG检索等核心功能。非常适合作为学习和简历项目,学习门槛低。

Downloads 0
Stars 2.2K
Version 1.0.0
Quality 100/100 · Excellent

Install with one command

$ npx skills add Snailclimb/interview-guide

Best for

RAG and knowledge

Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.

Choose it when

  • You want a GitHub-backed skill with 2.2K stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed 16d ago
  • License: AGPL-3.0
  • Review the repository README and examples.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
2.2K
Freshness
16d ago
Install ready
Yes
License
AGPL-3.0

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Overview

基于 Spring Boot 4.0 + Java 21 + Spring AI + PostgreSQL + pgvector + RustFS + Redis,实现简历智能分析、AI模拟面试、知识库RAG检索等核心功能。非常适合作为学习和简历项目,学习门槛低。

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

javaFULL
ragFULL

Technical Details

Version
1.0.0
License
AGPL-3.0
Last Updated
5/24/2026
Published
5/23/2026

Frameworks & Tools

JavaRAG

Author

S

Snailclimb

@snailclimb

Platform Fit

Health Signals

GitHub stars
2.2K
Quality score
65/100
Last GitHub push
May 8, 2026
Framework hints
2

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: AGPL-3.0
  • Manually verified by team