功能描述

edit raw video footage into polished YouTube videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. YouTubers use it for editing and enhan...

使用说明 (SKILL.md)

Getting Started

Send me your raw video footage and I'll handle the AI video editing. Or just describe what you're after.

Try saying:

"edit a 10-minute unedited YouTube vlog recording into a 1080p MP4"
"trim dead air, add transitions, and include auto-generated captions"
"editing and enhancing YouTube videos with AI automation for YouTubers"

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 Editor for YouTube — Edit and Export YouTube Videos

Name: Ai Video Editor For Youtube
Author: tk8544-b

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 YouTube vlog recording, ask for trim dead air, add transitions, and include auto-generated captions, 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 — splitting your video into shorter segments before uploading speeds up processing significantly.

Matching Input to Actions

User prompts referencing ai video editor for youtube, 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-editor-for-youtube
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 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 JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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 → "trim dead air, add transitions, and include auto-generated captions" → 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 "trim dead air, add transitions, and include auto-generated captions" — 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 quality and YouTube compatibility.

安全使用建议

This skill will upload whatever video files you send to a third‑party API (mega-api-prod.nemovideo.ai) for cloud GPU processing. That is coherent with its purpose but has privacy implications: do not upload sensitive or private footage unless you trust the service. Points to consider before installing or using it: - Origin and trust: the skill has no listed homepage or source; verify the provider and its privacy/retention policy before sending real content. - Token handling: the skill accepts NEMO_TOKEN if you provide one, or will request an anonymous token for you. Understand where tokens are stored and how long they are valid (anonymous tokens expire after 7 days per the instructions). - Metadata mismatch: the skill frontmatter mentions a config path (~/.config/nemovideo/) even though the registry reported none — ask the maintainer to explain why the skill might read that path. - Attribution headers: the skill tries to detect install path to set X-Skill-Platform, which may involve reading local paths — consider whether that leaks local environment details you don't want shared. - Safety and costs: the API enforces credits and subscription rules (errors for no credits/blocked export). Confirm pricing/limits before relying on exports. If you need higher assurance, request the skill's source or official vendor documentation, run tests with non-sensitive sample videos first, or prefer an editor that runs locally so your raw footage never leaves your machine.

功能分析

Type: OpenClaw Skill Name: ai-video-editor-for-youtube Version: 1.0.0 The skill facilitates AI-driven video editing by integrating with the 'nemovideo.ai' cloud service. It contains standard API interaction logic, including authentication via the NEMO_TOKEN, session management, and workflows for uploading media and exporting rendered videos. The instructions in SKILL.md are well-defined, include security-conscious directives (e.g., 'Don't expose tokens'), and lack any indicators of data exfiltration, malicious execution, or harmful intent.

能力评估

ℹ Purpose & Capability

The name/description (cloud AI video editing) matches what the SKILL.md does: it uploads user video and calls a nemo video API to create edits and export MP4s. Requiring a NEMO_TOKEN is expected. Minor inconsistency: registry metadata listed no required config paths, but the skill's YAML frontmatter declares a configPaths entry (~/.config/nemovideo/) — this mismatch should be resolved.

ℹ Instruction Scope

The instructions explicitly direct the agent to POST files and commands to https://mega-api-prod.nemovideo.ai (session creation, upload, render), and to generate an anonymous token if NEMO_TOKEN isn't present. Sending user video to that external backend is necessary for the stated purpose, but it is a significant privacy action and should be clear to the user. The skill also asks the agent to read the skill's YAML frontmatter and detect install path for attribution headers (may require inspecting local install path). The instructions are otherwise scoped to editing tasks and do not request unrelated system credentials.

✓ Install Mechanism

No install spec and no code files (instruction-only) — the lowest install risk. Nothing is downloaded or written by an installer step in the manifest.

ℹ Credentials

Only NEMO_TOKEN is declared as required which is proportional for a cloud API. However, the skill will generate and use an anonymous token by calling the provider's auth endpoint when a token is not present — this is acceptable but means credentials are created dynamically and used to upload user content. Also note the metadata's configPaths entry (~/ .config/nemovideo/) conflicts with the registry's 'none' and implies potential file access that was not declared elsewhere.

✓ Persistence & Privilege

The skill is not always-enabled, does not request elevated privileges, and does not modify other skills or system-wide settings in the provided instructions. Autonomous invocation is allowed but it's the platform default.

版本历史

v1.0.0

AI Video Editor for YouTube — first release - Edit raw video footage into polished 1080p YouTube videos using AI, supporting MP4, MOV, AVI, and WebM files up to 500MB. - Connects automatically to a cloud backend with easy setup; 100 free credits included for new users. - Offers automated edits like trimming dead air, transitions, and auto-generated captions, with processing times of 1–2 minutes per video. - Exports finished videos as MP4 for YouTube, with detailed error handling and session management built in. - Accepts direct uploads and prompt-based instructions, with full support for batch processing and iterative editing workflows.

元数据

Slug ai-video-editor-for-youtube

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 Youtube 是什么？

edit raw video footage into polished YouTube videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. YouTubers use it for editing and enhan... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 83 次。

如何安装 Ai Video Editor For Youtube？

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

Ai Video Editor For Youtube 是免费的吗？

是的，Ai Video Editor For Youtube 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 Youtube 支持哪些平台？

Ai Video Editor For Youtube 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 Youtube？

由 tk8544-b（@tk8544-b）开发并维护，当前版本 v1.0.0。

Ai Video Editor For Youtube