Terminal.skills
Skills/liepin-jobs
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liepin-jobs

Search jobs on Liepin (猎聘), apply to positions, view and edit resumes. Zero-dependency Python CLI wrapping Liepin's official MCP Server. Trigger words: jobs, liepin, resume, 找工作, 搜职位, 投简历, 猎聘, 求职, 招聘, 简历.

#jobs#liepin#resume#mcp#chinese
xllinbuptv0.1.0
Works with:claude-codeopenai-codexgemini-clicursor
Source

Usage

$
✓ Installed liepin-jobs v0.1.0

Getting Started

  1. Install the skill using the command above
  2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
  3. Reference the skill in your prompt
  4. The AI will use the skill's capabilities automatically

Example Prompts

  • "Transform these meeting notes into action items with owners and deadlines"
  • "Draft a follow-up email to the client summarizing our discussion"

Information

Version
0.1.0
Author
xllinbupt
Category
Productivity
License
MIT

Documentation

Overview

Search jobs on Liepin (猎聘), one of China's major professional recruitment platforms. View and edit your resume, match jobs to your profile, and apply — all from within your AI coding agent. Built on Liepin's official MCP Server with zero external dependencies (uses only Python's built-in urllib).

Instructions

Setup

The CLI script liepin_mcp.py is included alongside this SKILL.md. If it is not present in your skill directory, fetch it:

bash
curl -o "<skill_dir>/liepin_mcp.py" "https://raw.githubusercontent.com/TerminalSkills/skills/main/skills/liepin-jobs/liepin_mcp.py"

Before using any command, you must obtain two tokens from Liepin:

  1. Visit https://www.liepin.com/mcp/server and log in
  2. Copy the Gateway Token (format: mcp_gateway_token_xxxx)
  3. Copy the User Token (format: liepin_user_token_xxxx)
  4. Run setup:
bash
python3 "<skill_dir>/liepin_mcp.py" setup

Or set environment variables:

bash
export LIEPIN_GATEWAY_TOKEN="mcp_gateway_token_xxxx"
export LIEPIN_USER_TOKEN="liepin_user_token_xxxx"

Tokens expire after 90 days.

Commands

bash
SCRIPT="<skill_dir>/liepin_mcp.py"

# Search jobs
python3 "$SCRIPT" search-job --jobName "AI产品经理" --address "上海"
python3 "$SCRIPT" search-job --jobName "前端开发" --address "北京" --salary "30-50k"

# Apply to a job (requires jobId and jobKind from search results)
python3 "$SCRIPT" apply-job --jobId "JOB_ID" --jobKind "JOB_KIND"

# View resume
python3 "$SCRIPT" my-resume

# Update resume sections
python3 "$SCRIPT" update-resume --module basic --data '{"name": "张三"}'
python3 "$SCRIPT" update-resume --module experience --data '{"company": "xxx", "title": "PM"}'
python3 "$SCRIPT" update-resume --module expectations --data '{"salary": "30-50k", "city": "上海"}'
python3 "$SCRIPT" update-resume --module self-assessment --data '{"content": "5年产品经验..."}'

# List all available tools
python3 "$SCRIPT" list-tools

Add --json to any command for raw JSON output.

Examples

Example 1: Search for AI jobs in Shanghai

Input:

Help me find AI product manager positions in Shanghai with 30-50k salary

Agent runs:

bash
python3 "<skill_dir>/liepin_mcp.py" search-job --jobName "AI产品经理" --address "上海" --salary "30-50k" --json

Output:

Found 15 matching positions:
| Company       | Title          | Salary  | Experience |
|---------------|----------------|---------|------------|
| ByteDance     | AI PM Lead     | 35-50k  | 3-5 years  |
| Alibaba       | AI Product Mgr | 30-45k  | 3-5 years  |
| ...           | ...            | ...     | ...        |

Example 2: View and improve resume

Input:

Check my Liepin resume and suggest improvements

Agent runs:

bash
python3 "<skill_dir>/liepin_mcp.py" my-resume --json

Then analyzes completeness and suggests edits for missing sections.

Guidelines

  • Always confirm before applying: The apply-job command is irreversible. Show job details and get explicit user confirmation first.
  • Rate limit: All operations share a 60 requests/minute limit. Avoid batch calls.
  • Token security: Never expose full token values in logs or conversation.
  • Token expiry: If authentication errors occur, guide the user to refresh tokens at https://www.liepin.com/mcp/server
  • Resume modules: basic, experience, expectations, self-assessment
  • Search parameters: --jobName, --address, --salary, --education, --experience, --companyType, --companyName