resume-writer

Generate role-tailored resume project narratives with quantified outcomes.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/ljk486/Rag-agent --skill resume-writer-ljk486
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: resume-writer
Source: https://github.com/ljk486/Rag-agent/tree/main/MODULAR-RAG-MCP-SERVER-clean-start/.claude/skills/resume-writer
Command: npx skills add https://github.com/ljk486/Rag-agent --skill resume-writer-ljk486

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you turn the Modular RAG MCP Server project into polished, role-targeted resume content that sounds specific, credible, and interview-ready. It reduces generic wording by combining project highlights, user background, and target role into a structured project experience.

Core Features & Use Cases

  • Resume Project Writing: Generates a four-part resume narrative covering background, goal, process, and results.
  • Role Tailoring: Adapts the output for RAG Engineer, Backend Engineer, MLE, LLM Application Engineer, Agent Engineer, or full-stack AI roles.
  • Technical Highlight Selection: Prioritizes the most relevant features such as hybrid search, MCP, observability, evaluation, and modular architecture.
  • Quantification Guidance: Suggests realistic metrics for accuracy, latency, scale, and test coverage when the user does not provide numbers.
  • Use Case: A job seeker can describe their real business context and target position, then receive a concise resume-ready project entry in Chinese or English.

Quick Start

Ask the skill to write a customized resume project experience using your target role, business background, technical focus, and any special formatting requirements.

Frequently Asked Questions about resume-writer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a resume project experience for an LLM application or RAG engineer role?

Writing a resume project experience for an LLM application or RAG engineer role requires structuring your work into a background, goal, process, and result narrative. This skill generates role-targeted content by highlighting relevant features like hybrid search and MCP.

Can I generate resume bullets for an Agent engineer position from my modular RAG project?

Yes, you can generate resume bullets for an Agent engineer position from a modular RAG project. The skill adapts your project details and business context to prioritize technical highlights specific to Agent and full-stack AI roles.

What is the best way to quantify RAG project outcomes on a resume when I don't have exact metrics?

To quantify RAG project outcomes on a resume without exact metrics, you can use suggested realistic numbers for accuracy, latency, scale, and test coverage. The skill provides quantification guidance tailored to your technical highlights.

Does this resume writing tool support both Chinese and English output formats?

Yes, this resume writing tool supports both Chinese and English output formats. You can specify your target position, business background, and any special formatting requirements to receive a concise, interview-ready project entry in either language.

How to structure backend engineer resume project experience using a four-part narrative?

To structure backend engineer resume project experience using a four-part narrative, combine your business context, target role, and project highlights into background, goal, process, and result sections. This approach produces a credible, interview-ready entry optimized with technical keywords.