book-maker

Turn ten chapter cover images and a title page into 1080p book promo video just by typing what you need. Whether it's creating book trailer or presentation videos from images and content or quick social content, drop your images, text content and describe the result you want. No timeline dragging, no export settings — 1-2 minutes from upload to download.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "book-maker" with this command: npx skills add mory128/book-maker

Getting Started

Ready when you are. Drop your images, text content here or describe what you want to make.

Try saying:

  • "create ten chapter cover images and a title page into a 1080p MP4"
  • "turn my book pages and chapter images into a promotional book trailer video"
  • "creating book trailer or presentation videos from images and content for authors, publishers, content creators"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Book Maker — Create Book Promo Videos

Drop your images, text content in the chat and tell me what you need. I'll handle the AI book video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a ten chapter cover images and a title page, ask for turn my book pages and chapter images into a promotional book trailer video, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — use high-resolution cover images for sharper text and visuals in the final video.

Matching Input to Actions

User prompts referencing book maker, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits
"status" / "状态" / "show tracks"→ §3.4 State
"upload" / "上传" / user sends file→ §3.2 Upload
Everything else (generate, edit, add BGM…)→ §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-api-prod.nemovideo.ai

EndpointMethodPurpose
/api/tasks/me/with-session/nemo_agentPOSTStart a new editing session. Body: {"task_name":"project","language":"<lang>"}. Returns session_id.
/run_ssePOSTSend a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/<sid>POSTUpload a file (multipart) or URL.
/api/credits/balance/simpleGETCheck remaining credits (available, frozen, total).
/api/state/nemo_agent/me/<sid>/latestGETFetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambdaPOSTStart export. Body: {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Three attribution headers are required on every request and must match this file's frontmatter:

HeaderValue
X-Skill-Sourcebook-maker
X-Skill-Versionfrontmatter version
X-Skill-Platformauto-detect: clawhub / cursor / unknown from install path

Include Authorization: Bearer <NEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=<id>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Query session state
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute export workflow

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Common Workflows

Quick edit: Upload → "turn my book pages and chapter images into a promotional book trailer video" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn my book pages and chapter images into a promotional book trailer video" — concrete instructions get better results.

Max file size is 500MB. Stick to JPG, PNG, PDF, MP4 for the smoothest experience.

Export as MP4 for widest compatibility across social and retail platforms.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

AANA Email Send Guardrail Skill

Ensures email recipients, content, tone, attachments, claims, and approvals are verified and safe before sending or scheduling messages.

Registry SourceRecently Updated
General

AANA Meeting Summary Checker Skill

Checks meeting summaries for evidence, owner and date confirmation, privacy, and attribution to ensure output is accurate, clear, and ready for sharing.

Registry SourceRecently Updated
General

China Career Planner

AI时代职业规划师技能。专为AI时代职场变化而设计,帮助用户应对AI带来的职业冲击与机遇。当用户询问职业规划、职业建议、选专业、职场转型、未来就业方向时触发。功能包括:收集用户基本信息、霍兰德职业兴趣测评、职业价值观分析、AI时代职业影响评估(高危/中危/低危分级),并输出完整的个性化职业规划报告。关键词:职业规...

Registry SourceRecently Updated
General

AI Era Career Planner

AI时代职业规划师技能。专为AI时代职场变化而设计,帮助用户应对AI带来的职业冲击与机遇。当用户询问职业规划、职业建议、选专业、职场转型、未来就业方向时触发。功能包括:收集用户基本信息、霍兰德职业兴趣测评、职业价值观分析、AI时代职业影响评估(高危/中危/低危分级),并输出完整的个性化职业规划报告。关键词:职业规...

Registry SourceRecently Updated