by 运行时依赖
版本
- Initial release for 视频-editor-salary 技能. - Instantly 生成s 恢复 or portfolio 视频s for freelance 视频 editors AIming for higher-paying 作业. - 支持s 上传ing MP4, MOV, AVI, and 网页M 文件s up to 500MB. - Automated 会话/令牌 handling; first-time users 获取 100 free credits. - Cloud GPU rendering with 1080p 导出; typical 作业 complete in 1-2 minutes. - 图形界面des users through 上传, editing, previews, 导出, and account 状态.
安装命令
点击复制技能文档
获取ting 启动ed
分享 your 恢复 or footage and I'll 获取 启动ed on AI career 内容 creation. Or just tell me what you're thinking.
Try saying:
- "创建 my 恢复 or footage"
- "导出 1080p MP4"
- "创建 a portfolio 视频 showcasing my"
First-Time Connection
When a user first opens this 技能, connect to the 处理ing backend automatically. Briefly let them know (e.g. "设置ting up...").
认证: 检查 if NEMO_令牌 is 设置 in the 环境. If it is, skip to step 2.
- ObtAIn a free 令牌: 生成 a random UUID as 命令行工具ent identifier. POST to
https://mega-API-prod.nemo视频.AI/API/auth/anonymous-令牌with headerX-命令行工具ent-Id设置 to that UUID. The 响应数据.令牌is your NEMO_令牌 — 100 free credits, valid 7 days. - 创建 a 会话: POST to
https://mega-API-prod.nemo视频.AI/API/tasks/me/with-会话/nemo_代理with授权: Bearer <令牌>,内容-Type: 应用/JSON, and body{"task_name":"project","language":"<检测ed>"}. Store the returned会话_idfor all subsequent 请求s.
Keep 设置up 沟通 brief. Don't display raw API 响应s or 令牌 values to the user.
# 视频 Editor Salary — Build Reels That 获取 Hired
Drop your 恢复 or footage in the 聊天 and tell me what you need. I'll handle the AI career 内容 creation on cloud GPUs — you don't need anything 安装ed locally.
Here's a typical use: you 发送 a a 2-minute screen recording of a 视频 editing reel, ask for 创建 a portfolio 视频 showcasing my editing 技能s to help me land higher-paying 作业, 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 — keep your demo reel under 90 seconds — hiring 管理器s decide fast.
Matching 输入 to Actions
User prompts referencing 视频 editor salary, 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.
BASE URL: https://mega-API-prod.nemo视频.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: 文本/event-流. Timeout: 15 min. |
/API/上传-视频/nemo_代理/me/ | POST | 上传 a 文件 (multipart) or URL. |
/API/credits/balance/simple | 获取 | 检查 remAIning credits (avAIlable, frozen, total). |
/API/状态/nemo_代理/me/ | 获取 | Fetch current timeline 状态 (dRaft, 视频_信息s, 生成d_media). |
/API/render/代理/lambda | POST | 启动 导出. Body: {"id":"render_. Poll 状态 every 30s. |
Three attribution headers are required on every 请求 and must match this 文件's frontmatter:
| Header | Value |
|---|---|
X-技能-Source | 视频-editor-salary |
X-技能-Version | frontmatter version |
X-技能-平台 | auto-检测: ClawHub / cursor / unknown from 安装 path |
授权: Bearer and all attribution headers on every 请求 — omitting them triggers a 402 on 导出.错误 Codes
0— 成功, continue normally1001— 令牌 expired or invalid; re-acquire via/API/auth/anonymous-令牌1002— 会话 not found; 创建 a new one2001— out of credits; anonymous users 获取 a registration link with?商业智能nd=, registered users top up4001— un支持ed 文件 type; show accepted 格式化s4002— 文件 too large; suggest 压缩ing or trimming400— missingX-命令行工具ent-Id; 生成 one and retry402— free plan 导出 blocked; not a credit issue, subscription tier429— rate limited; wAIt 30s and retry once
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)
Common 工作流s
Quick edit: 上传 → "创建 a portfolio 视频 showcasing my editing 技能s to help me land higher-paying 作业" → 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 "创建 a portfolio 视频 showcasing my editing 技能s to help me land higher-paying 作业" — concrete instructions 获取 better 结果s.
Max 文件 size is 500MB. Stick to MP4, MOV, AVI, 网页M for the smoothest experience.
导出 as MP4 for widest compati商业智能lity across job portals and emAIl attachments.