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bilibili-video-storyboard

根据 B 站选题、标题、提纲或脚本,规划章节化镜头清单,给出镜头运动、旁白和 B-roll 提示;经人工确认后,通过捆绑客户端提交 1–4 张关键帧生成任务并跟踪结果。

beatra-ai
beatra-ai
热度 19.74
最近更新 2026-08-28 10:12:35
分类:创作依赖:代码执行 / 读写文件 / 第三方 API / MCP 服务应用场景:故事创作 / 视频编辑 / 图像生成 / 社交媒体

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add bilibili-video-storyboard
Metadata
name
bilibili-video-storyboard
description
Create a Bilibili video storyboard from a topic, title, outline, or script. This AI Bilibili storyboard maker turns a long-form video idea into a chapter-led shot list, Bilibili video script, camera direction, narration and B-roll cues, and one to four storyboard key frames for explainers, reviews, tutorials, vlogs, gameplay, animation, and creative videos.

Bilibili Video Storyboard

Turn a Bilibili topic, title, outline, or script into a chapter-led video storyboard that an UP creator, director, camera operator, editor, or AI-video artist can review before production. Deliver a complete written shot list first, then create one to four selected key frames that make the most important visual beats easy to align.

Use this Skill for Bilibili explainers, reviews, tutorials, Vlogs, gameplay, animation, creative videos, and channel-series planning. A request for one new cover belongs to bilibili-thumbnail-maker; a platform-neutral film, ad, or animation board belongs to ai-storyboard-generator; and approved plans can continue into beatra-ai-video-studio when the requested result is finished footage. Prove the sequence works before paying for key frames. Route publishing copy to bilibili-publishing-pack.

Inputs and defaults

Start with at least one of: a Bilibili topic, title, outline, script, chapter plan, or a brief that identifies the intended viewer and video outcome. Reuse known channel voice, series conventions, target duration, intended publishing view, product or factual must-keeps, people, locations, and visual references. For a source clip or Bilibili page, use a supplied transcript, outline, or exported screenshots as the planning source and label the role of every image reference.

Default to a chapter-led creator plan with an opening hook, a clear section progression, one visual purpose per shot, a purposeful transition or retention reset between major sections, and a final viewer prompt. Keep the user's existing canvas and visual direction when known. Otherwise, defer the exact canvas choice until selected key frames are ready for paid work.

Golden path

The path is a topic or script, a beat sheet, human approval, then a limited set of key frames.

  1. Turn the source into a free, reviewable Bilibili shot list. For every shot, show its chapter and story beat, time range, subject and action, frame size and composition, camera angle and intended movement, narration or sound cue, B-roll or graphic cue, and concise still-frame brief.
  2. Review the complete order with the user. Select the one to four shots that need key frames, preserving the must-keeps, source-reference roles, canvas, and visual direction for each selected shot. Read Bilibili storyboard planning and key frames for the route-specific request shapes.
  3. Before creating any key frame, read the live model card for the selected image capability. Show the route, complete prompt, reference order, canvas, count, model behavior, and current maximum price. Start paid work only after the user approves that frozen plan.
  4. Treat each selected shot as its own count: 1 paid image request. Give each one opaque, stable client_request_id; keep at most two image tasks in flight, track them to a terminal state, and then continue with any remaining approved shots.

Execute once, review, and deliver

Use only this Skill's bundled scripts/mcp_client.py for every remote Beatra operation. Do not configure or call a host Beatra Connector, and do not use REST/OpenAPI as a fallback. Upload local screenshots or reference images through the bundled client. Uploading provides an artifact reference; make visual claims only when the source or result is actually accessible to the host.

Save each returned task_id and poll only that task through beatra.tasks.get. When a create response is genuinely unknown, replay only the byte-equivalent frozen request with the same client_request_id. When a task ID is missing, use beatra.tasks.list, confirm a candidate with beatra.tasks.get against the recorded request, and continue that task rather than submitting another paid request. Cancel only when the user asks; a 409 means the original task still runs and should keep being tracked.

For accessible key frames, review the approved story beat, subject and action, composition, camera intent, canvas, and named must-keeps. Deliver the ordered shot list, the returned key-frame artifacts, actual dimensions and formats, resolved model, task identities, and returned charge facts. A visual correction or additional key frame is newly scoped paid work and needs its own approval.

References by task

Runtime and safe automatic updates

The bundled client silently checks for a newer release at most once every 24 hours per installation. When a higher version is available, it installs automatically without separate confirmation. It downloads only from the fixed official Beatra discovery and immutable CDN paths for this package, channel, and locale; verifies discovery data, archive, manifest, and every packaged file; and replaces only package-owned files.

Update checks, downloads, verification, replacement, rollback, and recovery fail open: the current installation remains usable and the original command continues. An update failure never authorizes another paid key-frame request. The setting persists for this installation. See automatic updates and safety.

python3 scripts/mcp_client.py update --auto off
python3 scripts/mcp_client.py update --auto on
python3 scripts/mcp_client.py update --check