← 返回 Skills 市场
whitejohnk-26

Ai Video Editor For Davinci

作者 whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
90
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install ai-video-editor-for-davinci
功能描述
Get edited video files ready to post, without touching a single slider. Upload your raw footage (MP4, MOV, AVI, MKV, up to 500MB), say something like "cut th...
使用说明 (SKILL.md)

Getting Started

Got raw footage to work with? Send it over and tell me what you need — I'll take care of the AI-assisted video editing.

Try saying:

  • "edit a 3-minute DaVinci Resolve project export into a 4K MP4"
  • "cut the dead air, add color grading, and sync transitions to the beat"
  • "AI-assisted editing for DaVinci Resolve users who want faster post-production for video editors and filmmakers"

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.

AI Video Editor for DaVinci — Edit and Export DaVinci Videos

This tool takes your raw footage and runs AI-assisted video editing through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 3-minute DaVinci Resolve project export and want to cut the dead air, add color grading, and sync transitions to the beat — the backend processes it in about 1-2 minutes and hands you a 4K MP4.

Tip: export your DaVinci timeline as a flat MP4 first for the smoothest processing.

Matching Input to Actions

User prompts referencing ai video editor for davinci, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

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

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

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

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

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)

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

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Common Workflows

Quick edit: Upload → "cut the dead air, add color grading, and sync transitions to the beat" → 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 dead air, add color grading, and sync transitions to the beat" — concrete instructions get better results.

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

H.264 codec gives the best balance of quality and file size for uploads.

安全使用建议
This skill behaves like a cloud video editor: it will upload your video files to mega-api-prod.nemovideo.ai and use a NEMO_TOKEN to authenticate (or create a short-lived anonymous token). Before installing, consider: (1) Do you trust the vendor/domain? Videos you upload will leave your machine. (2) Provide only non-sensitive footage; do not upload private or regulated content without review. (3) The skill may store token/session data in ~/.config/nemovideo/ — verify and audit that directory if you use the skill. (4) The package/source is marked unknown and has no homepage; if you need higher assurance, ask the publisher for provenance or prefer an editor with a verifiable vendor and documented privacy policy. Finally, note a minor metadata mismatch: the SKILL frontmatter lists a config path while the registry summary said none — this is likely benign but worth verifying.
功能分析
Type: OpenClaw Skill Name: ai-video-editor-for-davinci Version: 1.0.0 The skill provides a legitimate interface for an AI-powered video editing service hosted at mega-api-prod.nemovideo.ai. It includes standard API interaction patterns such as session management, file uploads, and status polling. No malicious behaviors, data exfiltration, or obfuscation were detected in the SKILL.md or metadata.
能力评估
Purpose & Capability
Name and description describe a cloud AI video editing service. The only credential requested is NEMO_TOKEN and the SKILL.md documents endpoints for uploads, SSE chat, session creation, and export — all directly tied to remote video processing.
Instruction Scope
Instructions direct the agent to obtain/use NEMO_TOKEN (or generate an anonymous one), create a session, upload media, follow SSE for edits, poll status, and return a download URL. Those actions are expected for a cloud render service. The skill requires uploading user media to mega-api-prod.nemovideo.ai (privacy/host trust consideration). It does not instruct reading unrelated system files or other credentials, and it explicitly says not to print tokens/raw JSON.
Install Mechanism
No install spec or code files are present (instruction-only). That minimizes on-disk install risk; runtime network calls are the primary surface.
Credentials
Only NEMO_TOKEN is declared as required (primaryEnv). The SKILL frontmatter also lists a config path (~/.config/nemovideo/) which is coherent for storing tokens/session state, but the registry summary earlier said 'required config paths: none' — minor metadata inconsistency. No unrelated credentials are requested.
Persistence & Privilege
always is false and the skill does not request elevated or global privileges. It may store tokens/session info under its own config path, which is normal. Autonomous invocation is enabled by default (platform default) but is not combined with other red flags.
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 ai-video-editor-for-davinci
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editor-for-davinci 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
- Initial release of AI Video Editor for DaVinci. - Upload raw footage (MP4, MOV, AVI, MKV, up to 500MB) for AI-assisted editing and fast 4K exports. - Automates common video editing tasks like cutting dead air, color grading, and syncing transitions to music. - Handles authentication, session setup, and cloud rendering pipeline automatically. - Supports common user actions: upload, edit, export, check credits, and view session status. - Includes clear error handling, workflow guidance, and tips for best results.
元数据
Slug ai-video-editor-for-davinci
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 Editor For Davinci 是什么?

Get edited video files ready to post, without touching a single slider. Upload your raw footage (MP4, MOV, AVI, MKV, up to 500MB), say something like "cut th... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 90 次。

如何安装 Ai Video Editor For Davinci?

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

Ai Video Editor For Davinci 是免费的吗?

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

Ai Video Editor For Davinci 支持哪些平台?

Ai Video Editor For Davinci 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 Editor For Davinci?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

💬 留言讨论