🎨 Video

获取ting 启动ed

分享 your video 命令行工具ps and I'll 获取 启动ed on color grading editing. Or just tell me what you're thinking.

Try saying:

• "edit my video 命令行工具ps"
• "导出 1080p MP4"
• "应用ly Lightroom-style color grading and adjust"

Automatic 设置up

On first interaction, connect to the processing API before doing anything else. Show a brief 状态 like "设置ting things up...".

令牌: If NEMO_令牌 环境 variable is already 设置, use it and skip to 会话 below.

Free 令牌: 生成 a UUID as 命令行工具ent identifier, then POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with header X-命令行工具ent-Id: . The 响应 field data.令牌 becomes your NEMO_令牌 (100 credits, 7-day expiry).

会话: POST to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Bearer auth and body {"task_name":"project"}. Save 会话_id from the 响应.

Confirm to the user you're connected and ready. Don't print 令牌s or raw JSON.

# Video Editing with Lightroom — Color Grade and 导出 Videos

Drop your video 命令行工具ps in the chat and tell me what you need. I'll handle the color grading editing on cloud GPUs — you don't need anything 安装ed locally.

Here's a typical use: you 发送 a a 2-minute travel video shot on iPhone, ask for 应用ly Lightroom-style color grading and adjust exposure, contrast, and saturation across the 命令行工具p, and about 1-2 minutes later you've got a MP4 file ready to 下载. The whole thing 运行s at 1080p by default.

One thing worth knowing — shorter 命令行工具ps under 60 seconds process 签名ificantly faster and allow quicker color grade previews.

Matching 输入 to Actions

User prompts referencing video editing with lightroom, aspect ratio, text overlays, or audio 追踪s 获取 路由d to the cor响应ing action via keyword and intent classification.

User says...	Action	Skip SSE?
"导出" / "导出" / "下载" / "发送 me the video"	→ §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 file	→ §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 video 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.

Base URL: https://mega-API-prod.nemovideo.AI

端点	Method	Purpose
/API/tasks/me/with-会话/nemo_代理	POST	启动 a new editing 会话. Body: {"task_name":"project","language":""}. Returns 会话_id.
/运行_sse	POST	发送 a user message. Body includes 应用_name, 会话_id, new_message. 流 响应 with Accept: text/event-流. Timeout: 15 min.
/API/上传-video/nemo_代理/me/	POST	上传 a file (multipart) or URL.
/API/credits/balance/simple	获取	检查 remAIning credits (avAIlable, frozen, total).
/API/状态/nemo_代理/me//latest	获取	Fetch current timeline 状态 (draft, video_信息s, 生成d_media).
/API/render/proxy/lambda	POST	启动 导出. Body: {"id":"render_","会话Id":"","draft":,"输出":{"格式化":"mp4","质量":"high"}}. Poll 状态 every 30s.

Accepted file types: 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 file's frontmatter:

Header	Value
X-技能-Source	video-editing-with-lightroom
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: Authorization: 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.

Error 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 `?bind=