功能描述

Get polished MP4 videos ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like...

使用说明 (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI video editing. Or just tell me what you're thinking.

Try saying:

"edit my raw video footage"
"export 1080p MP4"
"cut the pauses, add background music,"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

Generate a UUID as client identifier
POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

AI Video Pro Online — Edit and Export Pro Videos

Name: Ai Video Pro Online
Author: mory128

Send me your raw video footage and describe the result you want. The AI video editing runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 2-minute unedited screen recording, type "cut the pauses, add background music, and export in 1080p", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter clips under 60 seconds process significantly faster.

Matching Input to Actions

User prompts referencing ai video pro online, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...	Action	Skip SSE?
"export" / "导出" / "download" / "send me the video"	→ §3.5 Export	✅
"credits" / "积分" / "balance" / "余额"	→ §3.3 Credits	✅
"status" / "状态" / "show tracks"	→ §3.4 State	✅
"upload" / "上传" / user sends file	→ §3.2 Upload	✅
Everything else (generate, edit, add BGM…)	→ §3.1 SSE	❌

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint	Method	Purpose
`/api/tasks/me/with-session/nemo_agent`	POST	Start a new editing session. Body: `{"task_name":"project","language":"\x3Clang>"}`. Returns `session_id`.
`/run_sse`	POST	Send a user message. Body includes `app_name`, `session_id`, `new_message`. Stream response with `Accept: text/event-stream`. Timeout: 15 min.
`/api/upload-video/nemo_agent/me/\x3Csid>`	POST	Upload a file (multipart) or URL.
`/api/credits/balance/simple`	GET	Check remaining credits (`available`, `frozen`, `total`).
`/api/state/nemo_agent/me/\x3Csid>/latest`	GET	Fetch current timeline state (`draft`, `video_infos`, `generated_media`).
`/api/render/proxy/lambda`	POST	Start export. Body: `{"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}`. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Skill attribution — read from this file's YAML frontmatter at runtime:

X-Skill-Source: ai-video-pro-online
X-Skill-Version: from frontmatter version
X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Error Codes

0 — success, continue normally
1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
1002 — session not found; create a new one
2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
4001 — unsupported file type; show accepted formats
4002 — file too large; suggest compressing or trimming
400 — missing X-Client-Id; generate one and retry
402 — free plan export blocked; not a credit issue, subscription tier
429 — rate limited; wait 30s and retry once

SSE Event Handling

Event	Action
Text response	Apply GUI translation (§4), present to user
Tool call/result	Process internally, don't forward
`heartbeat` / empty `data:`	Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes	Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says	You do
"click [button]" / "点击"	Execute via API
"open [panel]" / "打开"	Query session state
"drag/drop" / "拖拽"	Send edit via SSE
"preview in timeline"	Show track summary
"Export button" / "导出"	Execute export workflow

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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

Common Workflows

Quick edit: Upload → "cut the pauses, add background music, and export in 1080p" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "cut the pauses, add background music, and export in 1080p" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility across platforms and devices.

安全使用建议

This skill appears to do what it says: it uploads your video to a third‑party cloud service (mega-api-prod.nemovideo.ai) for editing and returns a download URL. Before installing/using it: (1) confirm you are comfortable uploading your footage to that external domain and review any privacy/retention claims from the service; (2) be aware the skill uses a bearer token (NEMO_TOKEN) and will auto-request an anonymous token if none is present — anonymous tokens may have limited credits/expiry; (3) note the small metadata inconsistencies (declared configPaths vs registry metadata, and required env var vs runtime anonymous-token flow) — these are likely benign but worth knowing; (4) because this is an instruction-only skill that makes network requests, avoid putting long‑lived secret credentials into its environment unless you trust the remote service. If you want higher assurance, ask the publisher for a homepage or privacy policy and verify the domain and ownership before sending sensitive content.

功能分析

Type: OpenClaw Skill Name: ai-video-pro-online Version: 1.0.0 The skill provides a legitimate interface for an AI video editing service hosted at mega-api-prod.nemovideo.ai. It manages video processing tasks, including uploads and exports, using standard API patterns and handles authentication via a NEMO_TOKEN (supporting both environment variables and anonymous token generation). The instructions in SKILL.md are well-aligned with the stated purpose of video editing and include appropriate security guidance for the agent, such as not exposing raw tokens or API outputs to the user.

能力评估

ℹ Purpose & Capability

The skill is an instruction-only connector to a cloud video-editing backend (mega-api-prod.nemovideo.ai) and only requests a single bearer token (NEMO_TOKEN) which is appropriate for that purpose. Minor inconsistency: the SKILL.md frontmatter lists a configPaths entry (~/.config/nemovideo/) while the registry metadata shows no required config paths; this is an implementation/metadata mismatch but does not change the core capability.

✓ Instruction Scope

SKILL.md instructions are focused on creating a session, uploading user-supplied media, sending edits via SSE, polling render status, and returning a download URL. It explicitly instructs not to leak tokens or raw API responses. It also instructs reading the skill's frontmatter and install path to populate attribution headers — that requires reading skill files/install path but is reasonable and scoped to attribution.

✓ Install Mechanism

There is no install spec and no code files (instruction-only). That is the lowest-risk model; nothing is downloaded or written to disk by an install step.

ℹ Credentials

Only a single credential (NEMO_TOKEN) is required, which fits a backend API. One minor contradiction: the manifest marks NEMO_TOKEN as required, yet runtime instructions include logic to obtain a short-lived anonymous token from /api/auth/anonymous-token if NEMO_TOKEN is absent. This is plausible design (allow anonymous usage) but is a behavioral mismatch between declared requirements and runtime behavior that users should be aware of.

✓ Persistence & Privilege

always is false and the skill does not request persistent/privileged platform presence. It does instruct creating and using short-lived session tokens for render jobs; that is expected for a cloud rendering service.

版本历史

v1.0.0

AI Video Pro Online 1.0.0 — Initial Release - Instantly edit and export pro-quality videos online—no desktop software required. - Upload raw footage (up to 500MB; MP4, MOV, AVI, WebM, and more), give natural language editing instructions, and receive 1080p MP4 exports. - Connects to a secure cloud backend for fast, server-side GPU rendering. - Simple setup with automatic token handling and session management. - Supports checking credits, project status, and direct video uploads. - Designed for creators and marketers who need polished results quickly.

元数据

Slug ai-video-pro-online

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题

Ai Video Pro Online 是什么？

Get polished MP4 videos ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 113 次。

如何安装 Ai Video Pro Online？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-video-pro-online」即可一键安装，无需额外配置。

Ai Video Pro Online 是免费的吗？

是的，Ai Video Pro Online 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Ai Video Pro Online 支持哪些平台？

Ai Video Pro Online 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Ai Video Pro Online？

由 mory128（@mory128）开发并维护，当前版本 v1.0.0。

Ai Video Pro Online