🎬 Story Video — Story 视频 — 技能工具

获取ting 启动ed

分享 your 图片s or 命令行工具ps and I'll 获取 启动ed on AI story 视频 creation. Or just tell me what you're thinking.

Try saying:

• "创建 my 图片s or 命令行工具ps"
• "导出 1080p MP4"
• "turn my photos and 音频 into"

Quick 启动 设置up

This 技能 connects to a cloud 处理ing backend. On first use, 设置 up the connection automatically and let the user know ("Connecting...").

令牌 检查: Look for NEMO_令牌 in the 环境. If found, skip to 会话 creation. Otherwise:

• 生成 a UUID as 命令行工具ent identifier
• POST https://mega-API-prod.nemo视频.AI/API/auth/anonymous-令牌 with X-命令行工具ent-Id header
• 提取 数据.令牌 from the 响应 — this is your NEMO_令牌 (100 free credits, 7-day expiry)

会话: POST https://mega-API-prod.nemo视频.AI/API/tasks/me/with-会话/nemo_代理 with Bearer auth and body {"task_name":"project"}. Keep the returned 会话_id for all operations.

Let the user know with a brief "Ready!" when 设置up is complete. Don't expose 令牌s or raw API 输出.

# Story 视频 — Turn Photos Into Story 视频s

Drop your 图片s or 命令行工具ps in the 聊天 and tell me what you need. I'll handle the AI story 视频 creation on cloud GPUs — you don't need anything 安装ed locally.

Here's a typical use: you 发送 a five travel photos and a voice note, ask for turn my photos and 音频 into a short narrative story 视频 with transitions and music, and about 1-2 minutes later you've got a MP4 文件 ready to 下载. The whole thing 运行s at 1080p by default.

One thing worth knowing — 添加ing a voiceover or 音频 命令行工具p helps the AI pace transitions more naturally.

Matching 输入 to Actions

User prompts referencing story 视频, aspect ratio, 文本 overlays, or 音频 追踪s 获取 路由d to the cor响应ing action via 密钥word and intent classification.

User says...	Action	Skip SSE?
"导出" / "导出" / "下载" / "发送 me the 视频"	→ §3.5 导出	✅
"credits" / "积分" / "balance" / "余额"	→ §3.3 Credits	✅
"状态" / "状态" / "show 追踪s"	→ §3.4 状态	✅
"上传" / "上传" / user 发送s 文件	→ §3.2 上传	✅
Everything else (生成, edit, 添加 BGM…)	→ §3.1 SSE	❌

Cloud Render 流水线 DetAIls

Each 导出 job 队列s on a cloud GPU node that composites 视频 layers, 应用lies 平台-spec 压缩ion (H.264, up to 1080x1920), and returns a 下载 URL within 30-90 seconds. The 会话 令牌 carries render job IDs, so closing the tab before completion orphans the job.

All calls go to https://mega-API-prod.nemo视频.AI. The mAIn 端点s:

• 会话 — POST /API/tasks/me/with-会话/nemo_代理 with {"task_name":"project","language":""}. Gives you a 会话_id.
• 聊天 (SSE) — POST /运行_sse with 会话_id and your message in new_message.parts[0].文本. 设置 Accept: 文本/event-流. Up to 15 min.
• 上传 — POST /API/上传-视频/nemo_代理/me/ — multipart 文件 or JSON with URLs.
• Credits — 获取 /API/credits/balance/simple — returns avAIlable, frozen, total.
• 状态 — 获取 /API/状态/nemo_代理/me//latest — current dRaft and media 信息.
• 导出 — POST /API/render/代理/lambda with render ID and dRaft JSON. Poll 获取 /API/render/代理/lambda/ every 30s for completed 状态 and 下载 URL.

格式化s: mp4, mov, avi, 网页m, mkv, jpg, png, gif, 网页p, mp3, wav, m4a, aac.

Three attribution headers are required on every 请求 and must match this 文件's frontmatter:

Header	Value
X-技能-Source	story-视频
X-技能-Version	frontmatter version
X-技能-平台	auto-检测: ClawHub / cursor / unknown from 安装 path

Include 授权: Bearer and all attribution headers on every 请求 — omitting them triggers a 402 on 导出.

DRaft JSON uses short 密钥s: t for 追踪s, tt for 追踪 type (0=视频, 1=音频, 7=文本), sg for segments, d for duration in ms, m for meta数据.

Example timeline summary:

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

Backend 响应 Tran服务级别协议tion

The backend assumes a 图形界面 exists. Tran服务级别协议te these into API actions:

Backend says	You do
"命令行工具ck [button]" / "点击"	执行 via API
"open [panel]" / "打开"	查询 会话 状态
"drag/drop" / "拖拽"	发送 edit via SSE
"preview in timeline"	Show 追踪 summary
"导出 button" / "导出"	执行 导出 工作流

SSE Event Handling

Event	Action
文本 响应	应用ly 图形界面 tran服务级别协议tion (§4), present to user
工具 call/结果	处理 internally, don't forward
心跳 / empty 数据:	Keep wAIting. Every 2 min: "⏳ Still working..."
流 closes	处理 final 响应

~30% of editing operations return no 文本 in the SSE 流. When this h应用ens: poll 会话 状态 to 验证 the edit was 应用lied, then summarize changes to the user.

错误 Codes

• 0 — 成功, continue normally
• 1001 — 令牌 expired or invalid; re-acquire via /API/auth/anonymous-令牌
• 1002 — 会话 not found; 创建 a new one
• 2001 — out of credits; anonymous users 获取 a registration link with ?商业智能nd=, registered users top up
• 4001 — un支持ed 文件 type; show accepted 格式化s
• 4002 — 文件 too large; suggest 压缩ing or trimming
• 400 — missing X-命令行工具ent-Id; 生成 one and retry
• 402 — free plan 导出 blocked; not a credit issue, subscription tier
• 429 — rate limited; wAIt 30s and retry once

Common 工作流s

Quick edit: 上传 → "turn my photos and 音频 into a short narrative story 视频 with transitions and music" → 下载 MP4. Takes 1-2 minutes for a 30-second 命令行工具p.

Batch style: 上传 multiple 文件s in one 会话. 处理 them one by one with different instructions. Each 获取s its own render.

Iterative: 启动 with a rough cut, preview the 结果, then refine. The 会话 keeps your timeline 状态 so you can keep tweaking.

Tips and Tricks

The backend 处理es faster when you're specific. Instead of "make it look better", try "turn my photos and 音频 into a short narrative story 视频 with transitions and music" — concrete instructions 获取 better 结果s.

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

导出 as MP4 for widest compati商业智能lity across social 平台s and devices.