100个。这是最新发布的专业视频Agent平台上,可供随时调用的"导演级专家Skill"数量。
7月14日,一个被称为"全球最大专业视频Agent Skill Hub"的产品正式上线。它不只是又一个"文字生成视频"工具——它的核心是一个可联动的画布工作流:你可以在画布上拖拽排布素材、设置转场、添加字幕、调整节奏,而100+个AI Agent"专家"随时待命——有擅长分镜的、有擅长调色的、有擅长剪辑节奏的、有擅长配乐的、有擅长做字幕和花字的。
你不用自己会剪视频,你只需要像导演一样发号施令:"这段节奏太慢,帮我剪紧一点""这里加一个悬疑感的转场""给整个视频调一个电影感的色调""帮我找一段BGM,轻快一点的"。Agent会理解你的意图,自动完成操作,你只需要审核和微调。
AI视频的三个阶段:从玩具到工具到工作台
AI视频发展到今天,经历了三个明显的阶段。
第一阶段:生成玩具(2023-2024)。代表产品是早期的Sora演示、Runway Gen-2、Pika。这个阶段的特点是"效果惊艳但没用"——你输入一段文字,它生成几秒钟的视频,看起来很酷,但时长太短、一致性太差、可控性太弱,生成的素材基本没法直接用到成片里。主要用途是做社交媒体上的猎奇短视频。
第二阶段:素材工具(2025-2026初)。代表产品是可灵AI、即梦、Sora正式版。这个阶段的特点是"可用但割裂"——你可以生成几分钟的视频了,人物一致性和物理真实感都不错,但AI生成只是整个视频制作流程中的一个环节。你还是需要把素材下载下来,导入Premiere或剪映,手动剪辑、调色、配乐、加字幕。AI帮你做了"原料",但"炒菜"还是得自己来。
第三阶段:工作流平台(2026年中开始)。就是这次发布的视频Agent代表的方向——AI不再只是"生成素材的工具",而是接管整个创作工作流。从脚本到分镜、从素材生成到剪辑、从调色到配乐到字幕,AI Agent全程参与,你是导演,它们是你的摄制团队。
为什么工作流比生成能力更重要?
很多人还在比"谁生成的视频更清晰""谁的一致性更好",但专业创作者知道,视频制作从来不是"生成一段视频"那么简单。
一个3分钟的短视频,背后是几十个决策点:开头怎么吸引注意力?哪里需要停顿?哪里加转场?节奏怎么控制?BGM从哪里进、哪里出?字幕字体用什么?花字怎么加才不突兀?调色风格怎么统一?这些决策加在一起,才构成了最终的视频质量。
以前的AI视频工具解决的是"有没有素材"的问题,现在的视频Agent解决的是"怎么把素材变成好内容"的问题。这是质的区别。
"AI视频的竞争已经从'生成质量'转向'工作流完整性'。谁能把从创意到成片的路径缩到最短,谁就能赢得内容创作者。"—— 一位视频创作领域产品经理
同期还有一个值得注意的信号:B站AI创造公开赛正式上线投币榜,单月参赛人数突破五千。这说明AI视频创作已经从小众极客玩具,变成了大量普通用户在尝试的创作方式。当AI把视频创作的门槛从"需要学三年剪辑"降到"会说话就能做",内容生产的供给侧会迎来一次大爆发。
当然,现在的视频Agent还不是完美的——复杂叙事、精细控制、长视频逻辑一致性这些问题还需要时间解决。但方向已经很清楚了:AI视频不再是"生成个好玩的东西",而是真正变成了内容创作的生产力工具。
导演们,你们的AI摄制组已经就位了。
明天见。
100. That's how many "director-grade expert skills" are available on demand in a newly launched professional video agent platform.
On July 14, what's being called the "world's largest professional video agent Skill Hub" officially launched. This isn't another "text-to-video" tool — at its core is a collaborative canvas workflow: you drag and drop clips, arrange transitions, add subtitles, and adjust pacing on a canvas, while 100+ AI agent "specialists" stand by — storyboard experts, color graders, pacing editors, music supervisors, subtitle designers.
You don't need to know how to edit video. You just direct like a filmmaker: "This section is too slow, tighten it up" "Add a suspenseful transition here" "Give the whole thing a cinematic color grade" "Find me a light, upbeat BGM track." Agents understand your intent, execute automatically, and you review and tweak.
Three Stages of AI Video: Toy → Tool → Workbench
AI video has evolved through three distinct phases to reach today.
Phase 1: Generation toys (2023-2024). Represented by early Sora demos, Runway Gen-2, Pika. The defining trait was "impressive but useless" — input text, get a few seconds of video, looks cool, but too short, too inconsistent, too uncontrollable to use in finished productions. Mostly used for novelty short-form social content.
Phase 2: Clip tools (2025-early 2026). Represented by Kling, Jimeng, and the official Sora release. Traits: "usable but siloed" — you could generate minutes of video, character consistency and physics improved, but AI generation was just one step in the production pipeline. You still downloaded clips, imported into Premiere or CapCut, manually edited, color graded, scored, subtitled. AI made the "ingredients" but you still had to "cook."
Phase 3: Workflow platforms (starting mid-2026). This is what the new video agent represents — AI is no longer just a "clip generation tool." It's taking over the entire creative workflow. From script to storyboard, clip generation to editing, color grading to scoring to subtitles, AI agents participate throughout. You're the director; they're your film crew.
Why Workflow Matters More Than Generation Quality
Many people still compare "who generates sharper video" or "who has better consistency," but professional creators know video production is never just about "generating a clip."
A three-minute short video involves dozens of decisions: how does the opening hook attention? Where do you pause? Where do transitions go? How do you control pacing? Where does BGM enter and exit? What subtitle font? How do you add text overlays without being jarring? How do you unify the color grade? These decisions together make the final video quality.
Previous AI video tools solved "do we have clips" — now video agents solve "how do we turn clips into good content". That's a qualitative leap.
"AI video competition has already shifted from 'generation quality' to 'workflow completeness.' Whoever can shorten the path from idea to finished piece the most wins content creators."— A video creation product manager
Another notable signal at the same time: Bilibili's AI Creation Open Competition officially launched its "coin leaderboard," with monthly participants surpassing 5,000. This shows AI video creation has moved from niche geek toy to something masses of regular users are trying. When AI lowers video creation's barrier from "three years to learn editing" to "if you can talk, you can make it," the supply side of content production is heading for an explosion.
Of course, today's video agents aren't perfect — complex narrative, fine-grained control, long-form logical consistency still need work. But the direction is clear: AI video is no longer about "generating something fun" — it's genuinely becoming a productivity tool for content creation.
Directors, your AI film crew is ready.
See you tomorrow.
"AI视频的竞争已经从'生成质量'转向'工作流完整性'。谁能把从创意到成片的路径缩到最短,谁就能赢得内容创作者。"
—— 一位视频创作领域产品经理
"AI video competition has already shifted from 'generation quality' to 'workflow completeness.' Whoever can shorten the path from idea to finished piece the most wins content creators."
— A video creation product manager
Video agent · AI video · 100+ skills · director-grade · canvas workflow · agent editing · creative workflow · Bilibili AI Creation Open · content creation democratization
Sources · 信源 Sources
本文基于 Dawn Vision 认知引擎处理的 9 个源信号生成,经编辑部人工审核。素材来源:腾讯新闻、量子位。
This article was generated from 9 source signals processed by the Dawn Vision cognitive engine, with editorial review. Sources: Tencent News, QbitAI.