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AKCqhzdy
AKCqhzdyCOMMUNITY
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hkdse-chinese-report

Generate HKDSE Chinese DOCX reports from AI-graded JSON data.

Updated Aug 27, 2026
Search Tags:#docx#report-generation#ai-subagents#chinese-language#hkdse#grading-analysis
One-click install
npx skills add https://github.com/AKCqhzdy/dse-subject-grading --skill hkdse-chinese-report
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hkdse-chinese-report
Source: https://github.com/AKCqhzdy/dse-subject-grading/tree/main/skills/hkdse-chinese-report
Command: npx skills add https://github.com/AKCqhzdy/dse-subject-grading --skill hkdse-chinese-report

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, matplotlib, python-docx, Pillow, numpy, pydantic.

What problem does it solve?

This Skill automates the generation of HKDSE Chinese Language assessment reports in Traditional Chinese, transforming AI-graded JSON data into polished class-level and per-student DOCX reports while embedding original student answer images. It streamlines data loading, validation, and document assembly to reduce manual workload and ensure consistent reporting quality.

Core Features & Use Cases

  • Loads per-student grading JSON and final scores, validates data, and computes class statistics.
  • Generates per-student feedback and class-level commentary via sub-agents, avoiding direct LLM API calls.
  • Assembles DOCX reports for the class and each student, including charts and embedded student work images.
  • Enforces Traditional Chinese for report text; English is used only for identifiers, file paths, and JSON field names.

Quick Start

Run this skill after grading completes to generate per-student DOCX reports and a class report from the AI-graded JSON data.

Frequently Asked Questions about hkdse-chinese-report

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

FAQPage Schema
How do I generate HKDSE Chinese Language assessment reports from JSON grading data?▼

Generating HKDSE Chinese reports involves loading AI-graded JSON data, validating it, computing class statistics, and assembling DOCX files with per-student feedback, class commentary, and embedded student work images.

Can I embed original student answer images into automated DOCX report generation?▼

Yes, DOCX report generation supports embedding original student answer images. The system assembles class-wide and individual feedback documents while automatically inserting the original student work images alongside text.

How does automated report generation handle Traditional Chinese text in DOCX files?▼

Automated report generation enforces Traditional Chinese for all report text and metadata, ensuring HKDSE standards compliance, while using English strictly for identifiers, file paths, and JSON field names during DOCX assembly.

Do I need sub-agents to generate per-student feedback for HKDSE Chinese grading?▼

Yes, sub-agents are needed to generate per-student feedback and class-level commentary for HKDSE Chinese grading. These sub-agents handle narrative generation while avoiding direct LLM API calls during the workflow.

Does python-docx work with pandas and matplotlib for end-to-end DOCX report assembly?▼

Yes, python-docx works with pandas and matplotlib for end-to-end DOCX report assembly. This stack orchestrates data validation, chart generation, and final document assembly to produce complete reports.

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