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GenVid Collage:生成纪实拼贴风产品视频

将产品需求做成带旁白的纪实拼贴风竖版 MP4,使用生成的角色、道具和短片,以语音词组起点对齐画面事件,并通过 Remotion 完成渲染。

来源信息

仓库
abdurshd/skills
最近来源活动
2026年10月8日 18:18
检测到的 SKILL.md 语言
英语
星标
1
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0

相关案例

默认输出 1080×1920、30 fps,建议时长 80–120 秒;可用纸张、胶带、印章和剪贴人物表现产品解决的问题。

用途

适合纸张剪贴、田野笔记和自然纪录片戏仿风格的产品介绍,先呈现用户遇到的问题,再用真实产品功能回应。

必要前提

需要可用的语音合成、支持角色一致性的生图工具、短片生成工具和 Remotion 工程。短片生成通常消耗额度;使用前需有相应授权与已配置的工具。

操作说明

确认产品、受众、语言和真实功能,先写分场景旁白,再生成语音并转写核对。测量语音起点后生成素材,制作拼贴场景,加入真实产品界面,混音、渲染并抽样检查成片。

限制

产品数据、评价和功能需要核实,不能编造。流程依赖外部生成工具,费用与效果取决于实际配置;需记录素材与音乐许可,不应承诺“爆款”或固定传播效果。

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

文件资源管理器
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SKILL.md
来源说明 · 只读预览
name
genvid-collage
description
Create a documentary-style paper-collage promo video (nature-documentary parody, "field notes", scrapbook cutouts, rubber stamps, binocular HUD) for a product, with every visual asset generated by an image/video model, a narrated voiceover timed to phrase onsets, licence-clean music, and a rendered vertical MP4. Use when asked for a viral-style Reels/Shorts/TikTok promo that "doesn't look like AI slop", a scrapbook or cutout-animation explainer, a "field notes" / "observation" style ad, or a video "like that famous one" built from generated characters, props, and short clips.
# GenVid Collage Produce the finished MP4, not a storyboard. The film observes a relatable "species" (the customer's pain) like a wildlife documentary, then reveals the product as the fix. Every asset is generated for this film; every product claim is verified. ## Mandatory startup 1. Confirm three capabilities. Stop and ask for any that is missing; never substitute silently: - **Narration:** a TTS provider plus how to reach its key (env var or secret). If the user has a router such as Speko, it may proxy several providers through one key. Never print or commit a key. - **Image generation** with reference-image character consistency (for example Google Flow / Nano Banana, Gemini, or Grok Imagine), reachable through a signed-in browser the agent can drive. - **Video generation** for 1–3 short clips with an image as the first frame (for example Veo in Flow). These usually cost credits. Get the user's go-ahead for the spend, and approve each generation once. Never retry a paid generation in a loop. 2. Load the installed `remotion-best-practices` skill in full (layout, audio, transitions, FFmpeg rules) and say that you are using it. If it is unavailable, say so and follow [references/production-pipeline.md](references/production-pipeline.md). 3. Read every reference before you write a line of the film: - [references/style-bible.md](references/style-bible.md): the visual grammar, timings, and motion rules. - [references/story-and-script.md](references/story-and-script.md): the documentary arc and the voiceover format. - [references/asset-generation.md](references/asset-generation.md): the prompts, consistency method, downloading, and cutouts. - [references/audio-and-timing.md](references/audio-and-timing.md): narration, verification, phrase onsets, and the music rules. - [references/qa-checklist.md](references/qa-checklist.md): what to check before you call it done. ## Workflow ### 1. Brief and truth Establish the product, the audience, the platform (default 1080×1920 at 30 fps, 80–120 s), the narration language, the CTA, and the "species" (the target user's daily pain). Verify every product claim against the codebase or the live product: channels, languages, setup time, trial terms, and what happens when the product doesn't know an answer. Never invent metrics, ratings, download counts, or testimonials. Jokes about the *problem* are fine; numbers about the *product* must be real. ### 2. Script first Write the narration with the arc and line format in [references/story-and-script.md](references/story-and-script.md). Use one line per scene, 4–16 s each, with emotion tags where the model supports them. Then write the scene list with one focal visual per scene, plus the on-screen words that will land on spoken words. ### 3. Generate the voice before the visuals The voiceover drives the timing: 1. Synthesize one file per line. 2. Transcribe each file back to text with any STT model to catch dropped words, garbled names, or tags read aloud. Regenerate the bad lines. 3. Measure the phrase onsets with `scripts/phrase-onsets.sh`. These onsets are the beat sheet. Visual events are scheduled to them, never to guesses. ### 4. Generate the assets Follow [references/asset-generation.md](references/asset-generation.md): 1. Make one hero character first, then every pose with that image as the reference. 2. Shoot cutouts on a plain light-grey seamless background. 3. Make props 1:1, and make backgrounds full-frame 9:16 with an empty middle. 4. Make 1–3 Veo clips from start frames. 5. Download at 2K with real clicks, one at a time. 6. Lift the subjects with `scripts/lift.swift` (macOS Vision), or another matting tool on other hosts. 7. Review everything on a contact sheet (`scripts/contact-sheet.sh`) before choosing. ### 5. Build the film 1. Copy `assets/template/` into the Remotion project, fix the import paths, and adapt it. You get: - `kit.tsx`: paper, cutouts on twos, tape, notes, pen arrows, stamps, bubbles, binoculars, badge and confetti. - `Film.tsx`: the scene table, the voiceover per scene, the music with a silence beat, and the transitions. - `scenes.example.tsx`: two worked scenes. 2. Give every scene a `VO_AT` lead-in. Write beats as `at(sec)`, using the measured onset seconds. 3. Show real product UI in the solution half: embed the product's real components or faithful rebuilds inside a "pinned" scaled frame. Never invent a mock-up of the product. ### 6. Audio and render 1. Mix the music under the narration (about 0.2 gain), cut it to silence on the turning-point stamp, and bring it back on the reveal. 2. Render, then normalize the loudness to −14 LUFS with `scripts/finalize-audio.sh`. 3. If you share the film to a phone, also make a preview copy under 30 MB. ### 7. QA, then report 1. Render stills at each scene's key beat and build a strip. 2. Work through [references/qa-checklist.md](references/qa-checklist.md) and fix what it finds. 3. Re-render, then sample the final file every 6 s. 4. Report the path, duration, voice provider/model/voice, the generators and credits used, the music licence, what was verified, and any known imperfections. Log every generated asset and track licence next to the project's other licence records. ## Completion standard Finish only when all of these are true: - The MP4 exists and has been sampled across its whole timeline. - The narration was verified line by line by transcription. - No product claim is unverified. - The loudness is around −14 LUFS. - Every temporary file you made (test stills, bundles, scratch audio) has been deleted.
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