gaokao-generate-report

Synthesize student data and school rankings into structured JSON analysis.

Updated Jul 9, 2026
One-click install
npx skills add https://github.com/AshesOfTheUndead/rezurxlib --skill gaokao-generate-report
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gaokao-generate-report
Source: https://github.com/AshesOfTheUndead/rezurxlib/tree/main/skills/gaokao-generate-report
Command: npx skills add https://github.com/AshesOfTheUndead/rezurxlib --skill gaokao-generate-report

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, jinja2, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the complexity of synthesizing fragmented student data, major recommendations, and school rankings into a cohesive, professional-grade HTML volunteer application report.

Core Features & Use Cases

  • Automated Synthesis: Merges disparate JSON data sources into a unified analysis structure.
  • Visual Reporting: Renders high-quality, responsive HTML reports with clear academic gradients (Reach/Match/Safety).
  • Use Case: A college counselor can use this to instantly generate a personalized, visually appealing志愿填报 (volunteer application) report for a student, complete with probability analysis and school-specific strategies.

Quick Start

Run the gaokao-generate-report skill to merge your analysis files and render the final volunteer report html document.

Frequently Asked Questions about gaokao-generate-report

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

FAQPage Schema
How do I generate an HTML college application report from student data?

To generate an HTML college application report, this Skill synthesizes student profile data, major recommendations, and school rankings into a structured analysis JSON, then renders a visual HTML document using Jinja2 templates.

Can I use Jinja2 templates to render volunteer application reports with academic tiers?

Yes, Jinja2 templates render volunteer application reports by classifying academic tiers into Reach, Match, and Safety gradients, producing a responsive HTML document with probability analysis and school-specific strategies.

What is the best way to merge fragmented student data and school rankings into a cohesive report?

The best way to merge fragmented student data and school rankings is automated synthesis, which unifies disparate JSON data sources into a cohesive analysis structure before rendering the final professional-grade document.

Do I need to prepare JSON data sources before generating a college application strategy report?

Yes, you need to prepare JSON data sources containing student profiles, major recommendations, and school rankings as prerequisites, which the Skill aggregates to facilitate data synthesis and document rendering.

Does this report generation Skill classify academic tiers for college application strategies?

Yes, this report generation Skill classifies academic tiers by processing student profile data and school rankings, satisfying requirements for academic tier classification and professional document rendering.

Are there limitations when rendering visual HTML reports for college application data synthesis?

Rendering visual HTML reports for college application data synthesis relies on specific dependencies like requests and jinja2; limitations arise if input JSON data sources lack the structured analysis fields required for academic tier classification.