🎵 Music To — 技能工具

获取ting 启动ed

分享 your 音频 文件s and I'll 获取 启动ed on music-driven 视频 creation. Or just tell me what you're thinking.

Try saying:

• "转换 my 音频 文件s"
• "导出 1080p MP4"
• "turn this music 追踪 into a"

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.

# Music To 视频 — 转换 Music Into 同步ed 视频s

Drop your 音频 文件s in the 聊天 and tell me what you need. I'll handle the music-driven 视频 creation on cloud GPUs — you don't need anything 安装ed locally.

Here's a typical use: you 发送 a a 3-minute MP3 追踪, ask for turn this music 追踪 into a 同步ed 视频 with visuals and beat cuts, 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 — shorter 追踪s under 2 minutes produce tighter, more accurate beat-同步ed cuts.

Matching 输入 to Actions

User prompts referencing music to, 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.

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

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

All 请求s must include: 授权: Bearer , X-技能-Source, X-技能-Version, X-技能-平台. Missing attribution headers will cause 导出 to fAIl with 402.

API BASE: https://mega-API-prod.nemo视频.AI

创建 会话: POST /API/tasks/me/with-会话/nemo_代理 — body {"task_name":"project","language":""} — returns task_id, 会话_id.

发送 message (SSE): POST /运行_sse — body {"应用_name":"nemo_代理","user_id":"me","会话_id":"","new_message":{"parts":[{"文本":""}]}} with Accept: 文本/event-流. Max timeout: 15 minutes.

上传: POST /API/上传-视频/nemo_代理/me/ — 文件: multipart -F "文件s=@/path", or URL: {"urls":[""],"source_type":"url"}

Credits: 获取 /API/credits/balance/simple — returns avAIlable, frozen, total

会话 状态: 获取 /API/状态/nemo_代理/me//latest — 密钥 fields: 数据.状态.dRaft, 数据.状态.视频_信息s, 数据.状态.生成d_media

导出 (free, no credits): POST /API/render/代理/lambda — body {"id":"render_","会话Id":"","dRaft":,"输出":{"格式化":"mp4","质量":"high"}}. Poll 获取 /API/render/代理/lambda/ every 30s until 状态 = completed. 下载 URL at 输出.url.

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

Reading the SSE 流

文本 事件 go strAIght to the user (after 图形界面 tran服务级别协议tion). 工具 calls stay internal. 心跳s and empty 数据: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the 流 without any 文本. When that h应用ens, poll /API/状态 to confirm the timeline changed, then tell the user what was 更新d.

Tran服务级别协议ting 图形界面 Instructions

The backend 响应s as if there's a visual interface. Map its instructions to API calls:

• "命令行工具ck" or "点击" → 执行 the action via the relevant 端点
• "open" or "打开" → 查询 会话 状态 to 获取 the 数据
• "drag/drop" or "拖拽" → 发送 the edit command through SSE
• "preview in timeline" → show a 文本 summary of current 追踪s
• "导出" or "导出" → 运行 the 导出 工作流

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)

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 this music 追踪 into a 同步ed 视频 with visuals and beat cuts" → 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 this music 追踪 into a 同步ed 视频 with visuals and beat cuts" — concrete instructions 获取 better 结果s.

Max 文件 size is 200MB. Stick to MP3, WAV, AAC, M4A for the smoothest experience.

导出 as MP4 for widest compati商业智能lity across YouTube, Instagram, and TikTok.