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susan4731-wilfordf

Maker Youtube

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install maker-youtube
功能描述
Get YouTube-ready videos ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something lik...
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:

  • "create a 10-minute raw screen recording or vlog clip into a 1080p MP4"
  • "cut out silences, add intro, export as YouTube-ready video"
  • "creating polished YouTube videos from raw footage for YouTubers"

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.

YouTube Video Maker — Create and Export YouTube Videos

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

Here's a typical use: you send a a 10-minute raw screen recording or vlog clip, ask for cut out silences, add intro, export as YouTube-ready video, 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 — keeping source clips under 5 minutes speeds up processing significantly.

Matching Input to Actions

User prompts referencing maker 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is maker-youtube, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

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.

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.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the 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 → "cut out silences, add intro, export as YouTube-ready video" → 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 out silences, add intro, export as YouTube-ready video" — 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 with YouTube uploads.

安全使用建议
This skill appears to be what it claims: it will upload any media you provide to a third‑party service (mega-api-prod.nemovideo.ai) and requires a service token (NEMO_TOKEN). Before installing/use: (1) confirm you trust nemovideo.ai and review its privacy/retention policy, (2) avoid putting sensitive footage or secrets in uploads, (3) prefer using an ephemeral or least-privilege token (the skill can create an anonymous token for short-term use), (4) verify billing/credit implications (anonymous tokens have limited credits), and (5) note the metadata references a local config path (~/.config/nemovideo/) — ask the author how/if that path is used to persist tokens or session data. If you need stronger assurance, request publicly documented service provenance (homepage, docs, or GitHub) before proceeding.
功能分析
Type: OpenClaw Skill Name: maker-youtube Version: 1.0.0 The skill acts as a legitimate wrapper for a cloud-based video editing service (nemovideo.ai). It provides instructions for an AI agent to manage authentication, file uploads, and video rendering via a dedicated API. No evidence of data exfiltration, unauthorized local file access, or malicious execution was found; all network activity is directed to the service's domain (mega-api-prod.nemovideo.ai) as required for its stated functionality.
能力评估
Purpose & Capability
The name/description (YouTube video maker) matches the declared requirement for a NEMO_TOKEN and the API endpoints in SKILL.md: session creation, upload, render, credits, etc. Minor mismatch: metadata lists a config path (~/.config/nemovideo/) though the visible instructions do not explicitly tell the agent to read/write that path; this is plausibly for storing tokens/sessions but is not documented in SKILL.md.
Instruction Scope
The SKILL.md contains concrete API calls and SSE handling and limits itself to (a) creating/using a token, (b) creating a session, and (c) uploading user-provided media to the provider's endpoints. It does not instruct the agent to read arbitrary files or other environment variables beyond NEMO_TOKEN. Behavior that involves sending files to the remote service is expected for this purpose and is explicitly documented.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest install risk. Nothing is downloaded or written to disk by an installer in the skill bundle.
Credentials
Only one credential is required: NEMO_TOKEN (primaryEnv). SKILL.md also documents creating an anonymous token via the provider's anonymous-token endpoint if no token is present. Requiring a single service token is proportionate; however, because the skill will upload user media to a third-party domain, users should treat NEMO_TOKEN as sensitive and confirm they trust the service.
Persistence & Privilege
The skill is not always-enabled and does not request elevated agent-wide privileges. It does instruct saving session_id and using tokens for the session, which is normal for this kind of integration. There is no instruction to modify other skills or global agent config beyond its own session/token use.
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 maker-youtube
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maker-youtube 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 maker-youtube — your fast, cloud-based YouTube video editing tool. - Upload raw video footage (up to 500MB). Supported: MP4, MOV, AVI, WebM. - Automated editing (cut silences, add intro, etc.) via simple prompts. - Cloud rendering delivers 1080p MP4 downloads, YouTube-ready within 1–2 minutes. - Built-in API authentication and session management; free tier includes 100 credits. - Direct text commands for exporting, credits check, status, and editing actions. - Error handling and helpful user feedback for uploads, exports, and credits.
元数据
Slug maker-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

Maker Youtube 是什么?

Get YouTube-ready videos ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something lik... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 46 次。

如何安装 Maker Youtube?

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

Maker Youtube 是免费的吗?

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

Maker Youtube 支持哪些平台?

Maker 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 Maker Youtube?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

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