Job Search Assistant
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Please install @user_477573bb/liepin-job-hunter according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Job searches often stall when you need to compare cities, keywords, salary floors, and fragmented posting details. Manually copying job links, tables, and JD highlights can miss paused postings and makes compensation and experience hard to compare. This skill turns city, minimum salary, and job keywords into required inputs and produces a reviewable shortlist.
How it works
It first validates the three required fields: city, salary floor, and job keywords, asking follow-up questions if any are missing. It then builds search URLs using city codes, such as dqs=050020 for Hangzhou and compsalary=25,100 for 25K or more. Fetching favors web_fetch with a random 2-5 second delay between requests to reduce anti-scraping risk. The pipeline filters postings marked as paused, then creates a structured sheet with city, role, company, salary, location, experience, summary, and link. JD summaries are condensed to 50-100 Chinese characters and preserve key responsibilities such as AI, Agent, and finance.
Boundaries
This is better suited to collecting job links and generating summaries than auto-applying, messaging candidates, or deep company due diligence. Anti-scraping behavior and page structure can change, so salary filters and field completeness depend on live markup. If a platform returns malformed data, fall back to manual link and JD verification.
Use Cases
- While preparing a job switch, filter unpaused 25K+ AI product roles across Hangzhou and Shanghai by keywords.
- After collecting postings, compile company, salary, location, experience, and JD summaries into a fixed-column Excel sheet.
- For finance or e-commerce roles, compress long JDs into 50-100 character core responsibilities for side-by-side review.
- Before uploading to Tencent Docs, save job and JD sheets to the workspace and generate a shareable link.
Best For
- Engineers seeking AI product roles who need city and salary-floor filtering plus a shareable job link list.
- Job seekers comparing finance or e-commerce positions who need long JDs compressed into core responsibilities.
- Operations or HR staff compiling multi-city postings into fixed-field spreadsheets and shared documents.
- Technical consultants using LLM workflows who need consistent city, keyword, and salary-parameterized searches.
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