← 返回 Skills 市场
francemichaell-15

Youtube Creator

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
57
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install youtube-creator
功能描述
Turn a 10-minute unedited vlog recording into 1080p polished YouTube videos just by typing what you need. Whether it's editing and formatting videos for YouT...
使用说明 (SKILL.md)

Getting Started

Ready when you are. Drop your raw video footage here or describe what you want to make.

Try saying:

  • "edit a 10-minute unedited vlog recording into a 1080p MP4"
  • "cut the pauses, add chapter titles, and export for YouTube upload"
  • "editing and formatting videos for YouTube upload for YouTubers"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

YouTube Creator — Edit and Export YouTube Videos

Drop your raw video footage in the chat and tell me what you need. I'll handle the AI video editing on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 10-minute unedited vlog recording, ask for cut the pauses, add chapter titles, and export for YouTube upload, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter clips under 5 minutes process significantly faster.

Matching Input to Actions

User prompts referencing youtube creator, 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: youtube-creator
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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

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 chapter titles, and export for YouTube upload" → 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 chapter titles, and export for YouTube upload" — 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 best YouTube compatibility.

安全使用建议
This skill looks coherent for cloud-based YouTube video editing. Before installing, make sure you are comfortable uploading your raw media and instructions to NemoVideo, and use a dedicated token/account if possible.
功能分析
Type: OpenClaw Skill Name: youtube-creator Version: 1.0.0 The youtube-creator skill is a functional integration for an AI video editing service (nemovideo.ai). It facilitates video uploads, timeline editing via SSE, and cloud-based rendering. While it performs basic environment fingerprinting by checking local installation paths (e.g., ~/.clawhub/) to set attribution headers, its behavior is transparent and strictly aligned with its stated purpose of video processing. No indicators of malicious intent, unauthorized data exfiltration, or harmful prompt injection were found.
能力评估
Purpose & Capability
The requested capabilities—uploading raw video, sending editing instructions, rendering, and downloading an MP4—match the stated YouTube video-creation purpose, but they rely on an external cloud service.
Instruction Scope
The skill instructs the agent to connect to the backend before handling requests and route editing prompts to the provider; this is purpose-aligned, though the user may not see the technical details in chat.
Install Mechanism
No install script or code files are present, and the static scanner had no code to analyze.
Credentials
The skill requires or acquires a NEMO_TOKEN and uses provider API endpoints; this is proportionate for a cloud video-editing integration.
Persistence & Privilege
The artifacts mention tokens, sessions, and render job IDs, but do not show local background persistence, self-starting behavior, or privilege escalation.
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 youtube-creator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /youtube-creator 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
YouTube Creator 1.0.0 — Initial Release - Instantly edit and export YouTube-ready videos from raw footage with simple text instructions. - Automatic connection to the cloud backend using NEMO_TOKEN or free anonymous tokens. - Supports rapid, AI-powered editing: cut pauses, add chapter titles, format for YouTube, and export in 1080p MP4. - Accepts major video, audio, and image file types (max 500MB). - Clear workflows for upload, editing, credits checking, session state, and export. - Robust error handling and progress updates throughout the editing pipeline.
元数据
Slug youtube-creator
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

Youtube Creator 是什么?

Turn a 10-minute unedited vlog recording into 1080p polished YouTube videos just by typing what you need. Whether it's editing and formatting videos for YouT... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 57 次。

如何安装 Youtube Creator?

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

Youtube Creator 是免费的吗?

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

Youtube Creator 支持哪些平台?

Youtube Creator 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 Youtube Creator?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

💬 留言讨论