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ATSPrep: LinkedIn profile polish

借助 ATSPrep 的检查与生成工具，为 LinkedIn 标题和 About 打分、解释问题，并基于用户真实经历生成关键词丰富的标题与介绍改写；支持 MCP、附带 Node 脚本或 HTTPS 调用，首次发送文本前会提示用户。

分类：创作
devabubakar
devabubakar
热度 12.20
最近更新 2026-11-04 02:12:58

安装

发给 Agent
帮我安装这个技能：npx secure-skills-cli add devabubakar/atsprep-linkedin-profile-polish
兼容性
通用兼容
联网要求
需要联网
数据出网
必须出网
Metadata
name
linkedin-profile-polish
description
Check and improve a LinkedIn headline and About section with ATSPrep's rules - score what's there, explain the issues, and write keyword-rich headline options from the user's real role and skills. Use when someone asks to improve, rewrite or review their LinkedIn headline, summary, About section or profile.
license
MIT
compatibility
Needs network access to https://atsprep.com. The bundled script needs Node 18+.
metadata
{"author":"ATSPrep","homepage":"https://atsprep.com/mcp","version":"1.0.0"}

LinkedIn profile polish

Web versions: https://atsprep.com/tools/linkedin-headline-generator and https://atsprep.com/tools/linkedin-about-checker.

How to call ATSPrep

Use whichever is available, in this order:

  1. ATSPrep MCP tools. If the ATSPrep MCP server (https://atsprep.com/mcp) is connected, call its tools by name. Some clients add a prefix, e.g. mcp__atsprep__check_resume.
  2. The bundled script (needs Node 18+ and network access): 
    node scripts/atsprep.mjs <tool> key=value key=@path/to/file.txt
    key=@file sends a file's text, which is the safe way to pass a resume or job post. Write the user's text to a file in the current working directory first, and delete it when you're done. node scripts/atsprep.mjs list lists the tools.
  3. Plain HTTPS (no Node): POST JSON-RPC to https://atsprep.com/mcp with headers Content-Type: application/json and Accept: application/json, text/event-stream, and the body {"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"<tool>","arguments":{...}}}.

Arguments and limits for every tool are in references/tools.md. What leaves the machine is in references/privacy.md. Tell the user before sending their text to an AI tool the first time.

Steps

  1. Ask for the current headline, the About section, and the job title they want to be found for.
  2. Call check_linkedin_headline with headline (references/tools.md lists the optional fields). Explain each issue in a line or two.
  3. Call generate_linkedin_headline with role and whatever the user gave (years, skills, results with their real numbers). Offer three or four options and say why each works.
  4. Call check_linkedin_about with about. Walk through the findings: the opening lines shown before "see more", keywords, proof and a call to action.
  5. Help rewrite the About section in the user's voice, using only facts they've given. Run check_linkedin_about again on the new version.
  6. If they're also job hunting, suggest the resume-ats-check skill or check_resume.

Honesty rules

  • Never add a number, employer, tool, credential or result the user didn't give you. If a line would be stronger with a number, ask for it.
  • Only add a missing keyword if the user confirms they really have that skill.
  • AI tool results come back already filtered for made-up facts. Hold your own edits to the same standard.
  • Keep the headline within LinkedIn's 220 characters and lead with the role they want to be found for.