Individual skill
classical-poem-silk-video
Turn Chinese classical poems and ci into coherent vertical Chinese-art videos with poem-driven scene grouping, GPT ImageGen stills, Docker-only Gemini I2V, retained model-generated ambience, Gemini sparkle-watermark cleanup, brush-calligraphy captions revealed character by character, optional local BGM mixing, stitching, and final-frame QA. Supports verse-driven variation across ink landscape, gongbi bird-and-flower, colored figure-and-horse painting, blue-green landscape, xuan paper, silk, and related Chinese visual languages. Use when users ask for 古诗词动态视频、诗词逐句或两句一景、国风视频、毛笔字逐字出现、整首诗拼接成片，or want the established 月落乌啼霜满天 workflow applied to another poem.
skill/classical-poem-silk-video/SKILL.md
Source commit 3326843a10bd398ec710f13ad58705e552c1c757
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- Last checked
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- Repository last updated
- Aug 3, 2026
- License
- MIT
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- agent-skill Repository topic
- chinese-poetry Repository topic
- codex Repository topic
- docker Repository topic
- ffmpeg Repository topic
- generative-ai Repository topic
- image-to-video Repository topic
- devops Derived category
- devops-containers Derived category
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SKILL.mdcore · 6,609 bytesSKILL.mdcore · 6,609 bytesSKILL.mdcore · 6,609 bytesagents/openai.yamlasset · 275 bytesassets/MaShanZheng-Regular.ttfasset · 5,857,936 bytesassets/OFL.txtdoc · 4,332 bytesreferences/runtime-contract.mddoc · 1,916 bytesreferences/style-and-scene-mapping.mddoc · 6,391 bytesscripts/check_prerequisites.shruns · 1,568 bytesscripts/clean_star_watermark.shruns · 861 bytesscripts/concat_poem.shruns · 1,352 bytesscripts/concat_poem_crossfade.shruns · 2,040 bytesscripts/docker_gemini_i2v.pyruns · 2,778 bytesscripts/docker_gemini_i2v.shruns · 970 bytesscripts/final_media_qa.shruns · 3,732 bytesscripts/make_scene_ass.pyruns · 2,742 bytesscripts/render_scene.shruns · 1,845 bytes
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# Classical Poem Silk Video
Create a finished 9:16 poem video from the complete poem. Keep the visual series coherent without forcing every scene into one antique-silk template, let each scene express only its assigned lines, retain each generated clip's original ambience, and deliver the final MP4 visibly in chat.
Before the first run on a machine, read [runtime-contract.md](references/runtime-contract.md) and run [check_prerequisites.sh](scripts/check_prerequisites.sh). Never print, copy, or commit authentication cookies, API keys, browser profiles, or generated account data.
## Workflow
1. Read the complete poem. Identify title, poet, era, place, season, time, explicit imagery, actions, and emotional arc.
2. Group scenes:
- Four lines or fewer: default to one line per scene.
- More than four lines: default to two consecutive lines per scene.
- Respect an explicit grouping request over these defaults.
3. Build a compact scene ledger with literal images, dominant action, depth layers, emotional function, and forbidden imagery reserved for other scenes.