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Autohome Car Series Report

Professional Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md to install @user_ae3e394c/car-series-report.

About this skill

Problem Being Solved

When a user asks about a specific car series, such as BYD Qin PLUS DM-i, directly generating HTML, SVG, or simulated API responses in chat can lead to unstable data, formatting drift, and exposed intermediate steps. This skill moves report generation into generate_report.py, where the script handles API calls, data processing, radar-chart calculation, and page rendering.

How It Works

  • Extract the series name: strip model year, trim, and conversational wording to get the core series name.
  • Use the script as the source of truth: replace {{SERIES_NAME}} and run the script instead of hand-writing long HTML or SVG blocks.
  • Parallel fetching: the series search call runs serially, while reputation and pricing calls run via ThreadPoolExecutor to reduce network round-trips.
  • Render an HTML report: output car_report.html with basic information, trims, user reputation, dealer pricing, and same-class competitors.

Boundaries

It is intended for detail reports on a named car series, not for recommendations such as "SUVs under 100k" or comparisons such as "A vs B." If the script reports insufficient data, respond only with the fixed fallback note and a short textual summary. If the series cannot be recognized, ask the user to confirm the full name. Style or data changes should be made by editing the script and rerunning it, not by assembling temporary output in the answer.

Use Cases

  • Support receives a query for Model 3 specs and needs a series page with trims, reputation, and competitors.
  • Automotive editors use a named series like BYD Qin PLUS to produce an HTML report with dealer pricing and rivals.
  • Developers adjust radar charts or templates by editing the script, rerunning it, and verifying car_report.html.
  • Data operators combine series, reputation, and pricing API results into a viewable report with an SVG radar chart.

Best For

  • Automotive content editors who need to turn specific car-series questions into deliverable HTML reports.
  • Customer-support product owners who need named-series answers with specs, pricing, reputation, and competitors.
  • Python tool developers who maintain the car-report API flow, HTML template, and radar-chart logic.
  • Automotive data operators who combine series, reputation, and pricing data into a viewable SVG report.