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Sync Ai Video

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install sync-ai-video
功能描述
Turn a 2-minute interview clip with out-of-sync audio into 1080p lip-synced videos just by typing what you need. Whether it's fixing audio-video sync issues...
使用说明 (SKILL.md)

Getting Started

Share your video clips and I'll get started on AI audio-video sync. Or just tell me what you're thinking.

Try saying:

  • "sync my video clips"
  • "export 1080p MP4"
  • "sync the audio track to match"

Automatic Setup

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

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

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

Sync AI Video — Sync Audio to Video Automatically

This tool takes your video clips and runs AI audio-video sync through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 2-minute interview clip with out-of-sync audio and want to sync the audio track to match the speaker's lip movements automatically — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter clips under 60 seconds sync faster and with higher accuracy.

Matching Input to Actions

User prompts referencing sync ai video, 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.

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

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source sync-ai-video
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

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

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

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.

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 → "sync the audio track to match the speaker's lip movements automatically" → Download MP4. Takes 30-60 seconds 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 "sync the audio track to match the speaker's lip movements automatically" — concrete instructions get better results.

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

Export as MP4 with H.264 codec for the best balance of sync accuracy and file size.

安全使用建议
This looks like a purpose-aligned video-sync skill rather than malicious behavior. Before installing, make sure you are comfortable sending your video clips and prompts to the NemoVideo cloud API, and do not use it for sensitive media unless the provider’s privacy and retention practices are acceptable to you.
功能分析
Type: OpenClaw Skill Name: sync-ai-video Version: 1.0.0 The skill is a functional integration for an AI video synchronization service hosted at mega-api-prod.nemovideo.ai. It manages authentication via the NEMO_TOKEN environment variable or an anonymous token generation process and facilitates video uploads and processing through standard REST and SSE endpoints. The instructions in SKILL.md are transparent, align with the stated purpose of audio-video syncing, and include privacy-conscious directives such as avoiding the printing of raw tokens or JSON.
能力评估
Purpose & Capability
The described capabilities match the stated purpose: uploading video clips, running cloud lip-sync/rendering, checking status, and exporting MP4 results. The notable user impact is that media is processed by an external cloud service.
Instruction Scope
The skill instructs the agent to connect to the processing API on first interaction and to translate backend GUI-style responses into API actions. This is purpose-aligned, but users should understand the workflow may proceed through provider API calls once invoked.
Install Mechanism
There is no install spec and no code files, so the artifacts do not show package installation, local helper execution, or hidden executable components.
Credentials
The skill uses NEMO_TOKEN or creates an anonymous short-lived token for the NemoVideo API. This is expected for the integration, and the instructions say not to print tokens.
Persistence & Privilege
The artifacts show provider-side session IDs and render jobs, including a 7-day anonymous token, but no local persistence or elevated local privileges are shown.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install sync-ai-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /sync-ai-video 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Sync AI Video 1.0.0 — Initial Release - Instantly syncs audio to video in interview clips using AI, producing 1080p lip-synced videos. - No complicated timeline editing or export setup needed; simply upload and describe your desired result. - Handles video uploads, automatic session/token management, and export via a unified cloud pipeline. - Supports fast cloud-based rendering (30–90 seconds for most jobs), with credits system and required headers. - Offers intuitive text-based commands for uploading, exporting, checking credits, and more. - Detailed error handling and response translation for a seamless user experience.
元数据
Slug sync-ai-video
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

Sync Ai Video 是什么?

Turn a 2-minute interview clip with out-of-sync audio into 1080p lip-synced videos just by typing what you need. Whether it's fixing audio-video sync issues... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 61 次。

如何安装 Sync Ai Video?

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

Sync Ai Video 是免费的吗?

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

Sync Ai Video 支持哪些平台?

Sync Ai Video 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 Sync Ai Video?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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