Classical Chinese Immersive Learning

Problem addressed

When working with classical Chinese texts, source excerpts often contain annotations, pinyin, and formatting noise, while translation, explanation, visuals, and audio usually require separate tools. This skill turns the flow from raw text to cleaned text, teaching-level analysis, and multimodal study assets into one asynchronous pipeline for preview, appreciation, and course-material preparation.

Core capabilities and workflow

• Input constraints: original_text is required and limited to 300 characters; oversized or non-compliant input is blocked.
• Text cleaning: removes annotation marks, pinyin labels, and other noise to extract clean classical Chinese text.
• Parallel generation: generates an atmospheric illustration, a clean TTS reading, and teaching-level analysis covering translation, content-word and function-word explanation, special syntactic patterns, and core theme.
• Asynchronous execution: real calls submit a task with execute_task.py, return a task_id, and poll with query_task.py; each polling round should immediately surface the available core result until completion.
• Result packaging: aggregates text, image, and audio links, and can produce a simple HTML page to display the visual and audio assets.

Boundaries and cautions

It is suited to teaching support, self-study appreciation, and multimodal study material production, not synchronous processing of long passages. All tasks are forced asynchronous, and polling must continue until completion. Without showapi_appkey, the skill enters a mock call whose output is a preview only and should not be treated as real generated content. Word and syntax analysis is for teaching reference and does not replace manual proofreading or scholarly verification.