Editorial Card Video

Editorial Card Video

Use this skill to turn a structured content-spec.json into a 20-24s "归藏纸感编辑风信息卡视频": warm paper background, Swiss editorial typography, dense magazine cards, right-side live media wells, real BGM, and QC evidence.

When To Use

Use this skill when the request asks for:

• 纸感信息卡, 编辑风视频, 归藏风视频, editorial card video, or magazine-style infographic video.
• A content table/spec becoming a short motion video.
• Reusing the accepted editorial-card-infographic pipeline with live card media.
• Producing or updating a HyperFrames project with paper editorial cards plus BGM and QC artifacts.

Do not use this skill for:

• Talking-head overlay cards on top of an existing speaker video. Use talking-head-recut.
• Pure kinetic typography or lower-thirds. Use motion-graphics.
• General long-form video authoring without this paper editorial card language. Use general-video.
• Building a new Guizang card language from scratch. This skill packages the accepted paper-card production pipeline; read guizang-social-card-skill only as design provenance when extending card forms.

Inputs

Required:

• A content-spec.json that follows references/content-spec.schema.json.

Recommended:

• Real BGM source or meta.bgm.mode = "external-window".
• Card media clips already prepared as dense-keyframe MP4s.
• A clear topic with six beats that map to the six scene blueprints.

Portable defaults are included:

• examples/family-ai-assistant.content-spec.json
• examples/template-library.content-spec.json
• assets/card_media_pack/
• assets/components/

Workflow

1. Read the request and choose the content-spec.
2. Validate text against references/content-spec-guide.md.
3. Map the six scenes to references/scene-blueprints.md.
4. Generate Guizang live cards:

   node scripts/generate_guizang_live_cards.mjs \
     --out-dir "$OUT/guizang_cards" \
     --live-media-dir assets/card_media_pack
   

5. Generate the editorial-card HyperFrames project:

   node scripts/generate_editorial_card_video.mjs \
     --spec content-spec.json \
     --out-dir "$OUT" \
     --project "$OUT/project" \
     --output "$OUT/final/editorial_card_video_1920x1080.mp4" \
     --live-cards-dir "$OUT/guizang_cards/output" \
     --render
   

6. If using a real music bed, set meta.bgm.mode = "external-window" and pass a valid meta.bgm.file. The script normalizes the window and muxes it into the final.
7. Run QC gates from references/qc-checklist.md.
8. Deliver the final MP4, MD5, ffprobe, contact sheets, MAD metrics, and any known residual risk.

Gate Discipline

A render is not complete until these are checked:

• Card live media is actually moving; static poster contact is not enough.
• Right-side card-region MAD should land around the accepted reference band, about 14 for the live media card region, unless the content deliberately uses quiet footage.
• Faces in live wells are complete; use face-top or another focus mode instead of center-cover when needed.
• Video wells have dense keyframes; use GOP around 12 for seekable media.
• Wells sit inside the intended paper/card bounds with no placeholder blocks.
• Scene dwell and entry rhythm match the current recipe values. Treat these as "current values" because active recipe tuning may update them.
• BGM is real or explicitly accepted fallback; lavfi fallback is only for smoke tests.

Key References

Load these when doing production work:

• references/style-language.md for measured colors, type sizes, spacing, and paper texture language.
• references/scene-blueprints.md for the six-scene flow.
• references/card-anatomy.md for the three Guizang live-card shapes.
• references/content-spec-guide.md for schema and copy-length boundaries.
• references/live-media-rules.md for focus, dense-keyframe, and well-alignment rules.
• references/qc-checklist.md for quantitative gates.
• references/lessons.md for known failure modes and fixes.

Scripts

• scripts/generate_guizang_live_cards.mjs: renders the six reusable Guizang live-card MP4s and keyframes from skill-local media.
• scripts/generate_editorial_card_video.mjs: builds the HyperFrames project, renders the full editorial-card video, prepares BGM, and muxes audio.
• scripts/build_live_media_qc.py: compares moving card regions against a reference crop.
• scripts/build_stage_c_qc.py: builds source-vs-sample scene contact sheets.
• scripts/build_guizang_card_midframe_contact.py: checks live-card focus and subject crop.
• scripts/build_guizang_layout_density_contact.py: compares card layout density against reference crops.
• scripts/build_dwell_well_tuning_qc.py: measures accepted video-well ratios and dwell timing.
• scripts/build_stackfix_qc.py: verifies stack settle-vs-end position and bounded anchor drift.
• scripts/build_cardface_integrity_qc.py: verifies edge typography, top-title zones, and fallback/video layer consistency.
• scripts/build_croute_threeway_contact.py: compares native Guizang, script C-route, and reference crops.

All scripts accept explicit input/output directories. Do not hardcode (internal evidence) or user-home paths in production calls.

Dependencies

Required:

• HyperFrames CLI available through npx hyperframes.
• ffmpeg in PATH.
• Node.js ESM runtime.
• Python 3 with Pillow and numpy for QC scripts.

Design provenance:

• guizang-social-card-skill supplied the accepted visual language for the live-card subsystem. It is not a runtime dependency for this skill snapshot; read it when extending or inventing new card forms, not for ordinary production renders.

Worked Examples

See examples/README.md for accepted sample paths, MD5s, and the two portable content-spec files. The sample videos are indexed by path instead of copied into the skill because they are large binary deliverables.