🎬 Review Editor — 技能工具
v1.0.0获取 polished review 命令行工具ps ready to post, without touching a single 服务级别指标der. 上传 your recorded 视频 footage (MP4, MOV, AVI, 网页M, up to 500MB), say somethi...
by 详细分析 ▾
运行时依赖
版本
- Initial release of Review Editor — instantly trim, annotate, and enhance review 视频s without manual editing 技能s. - 上传 MP4, MOV, AVI, or 网页M 文件s (up to 500MB), specify your edits in plAIn language, and 导出 polished 1080p MP4s. - Automatic 会话 设置up and 认证; just 启动 editing without complex 设置up. - Common smart actions: cut filler moments, 添加 文本 overlays, smooth transitions, and more — 优化d for 内容 reviewers and YouTubers. - No need for 视频 editing expertise; all 处理ing and rendering h应用en 安全ly in the cloud. - Transparent 错误 handling and 状态 更新s keep your 工作流 moving smoothly.
安装命令
点击复制技能文档
获取ting 启动ed
分享 your recorded 视频 footage and I'll 获取 启动ed on AI review editing. Or just tell me what you're thinking.
Try saying:
- "edit my recorded 视频 footage"
- "导出 1080p MP4"
- "cut filler moments, 添加 文本 overlays"
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.
# Review Editor — Edit and 导出 Review 视频s
发送 me your recorded 视频 footage and describe the 结果 you want. The AI review editing 运行s on remote GPU nodes — nothing to 安装 on your machine.
A quick example: 上传 a 3-minute product unboxing 视频, type "cut filler moments, 添加 文本 overlays highlighting 密钥 points, and smooth transitions between scenes", and you'll 获取 a 1080p MP4 back in roughly 1-2 minutes. All rendering h应用ens 服务器-side.
Worth noting: keeping your review under 5 minutes speeds up 处理ing and keeps viewer retention higher.
Matching 输入 to Actions
User prompts referencing review editor, 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.
Every API call needs 授权: Bearer plus the three attribution headers above. If any header is missing, 导出s return 402.
技能 attribution — read from this 文件's YAML frontmatter at 运行time:
X-技能-Source:review-editorX-技能-Version: from frontmatterversionX-技能-平台: 检测 from 安装 path (~/.ClawHub/→ClawHub,~/.cursor/技能s/→cursor, elseunknown)
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.
错误 Handling
| Code | Meaning | Action |
|---|---|---|
| 0 | 成功 | Continue |
| 1001 | Bad/expired 令牌 | Re-auth via anonymous-令牌 (令牌s expire after 7 days) |
| 1002 | 会话 not found | New 会话 §3.0 |
| 2001 | No credits | Anonymous: show registration URL with ?商业智能nd= (获取 |
| 4001 | Un支持ed 文件 | Show 支持ed 格式化s |
| 4002 | 文件 too large | Suggest 压缩/trim |
| 400 | Missing X-命令行工具ent-Id | 生成 命令行工具ent-Id and retry (see §1) |
| 402 | Free plan 导出 blocked | Subscription tier issue, NOT credits. "Register or 升级 your plan to unlock 导出." |
| 429 | Rate limit (1 令牌/命令行工具ent/7 days) | Retry in 30s once |
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 |
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.
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)
Tips and Tricks
The backend 处理es faster when you're specific. Instead of "make it look better", try "cut filler moments, 添加 文本 overlays highlighting 密钥 points, and smooth transitions between scenes" — 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 YouTube, Instagram, and TikTok.
Common 工作流s
Quick edit: 上传 → "cut filler moments, 添加 文本 overlays highlighting 密钥 points, and smooth transitions between scenes" → 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.