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susan4731-wilfordf

Maker Arabic

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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在 OpenClaw 中安装
/install maker-arabic
功能描述
Turn a 60-second product demo video into 1080p Arabic-language videos just by typing what you need. Whether it's creating Arabic-language videos with text an...
使用说明 (SKILL.md)

Getting Started

Send me your video clips and I'll handle the Arabic video creation. Or just describe what you're after.

Try saying:

  • "create a 60-second product demo video into a 1080p MP4"
  • "create a video with Arabic text, voiceover, and subtitles"
  • "creating Arabic-language videos with text and subtitles for Arabic content creators"

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.

Maker Arabic — Create Arabic Language Videos

Send me your video clips and describe the result you want. The Arabic video creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 60-second product demo video, type "create a video with Arabic text, voiceover, and subtitles", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: right-to-left Arabic text renders correctly — no manual alignment needed.

Matching Input to Actions

User prompts referencing maker arabic, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is maker-arabic, 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).

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

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 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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "create a video with Arabic text, voiceover, and subtitles" — 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 across Arabic social platforms.

Common Workflows

Quick edit: Upload → "create a video with Arabic text, voiceover, and subtitles" → 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.

安全使用建议
This skill is mostly coherent for its stated purpose (remote Arabic video rendering) and only needs one API token, but check these before installing: 1) Clarify the config-path discrepancy — SKILL.md frontmatter mentions ~/.config/nemovideo/ even though the registry shows no required config paths. Confirm whether the agent will read that directory or any other local files. 2) Understand that any video files and any NEMO_TOKEN you provide will be sent to https://mega-api-prod.nemovideo.ai; do not provide long-lived or highly-privileged credentials unless you trust the service. 3) If you want to test safely, let the skill obtain an anonymous starter token (the instructions support that) rather than providing a personal token, and verify the domain and privacy/retention policy for uploaded videos. 4) If you need stronger assurance, ask the skill author for a privacy/security statement or an official homepage/release repository (none is provided).
功能分析
Type: OpenClaw Skill Name: maker-arabic Version: 1.0.0 The skill is a functional wrapper for the NemoVideo Arabic video creation service, facilitating video uploads, rendering, and session management through the 'mega-api-prod.nemovideo.ai' backend. All network activity, environment variable usage (NEMO_TOKEN), and instructions to the agent are directly aligned with the stated purpose of server-side video processing, with no evidence of data exfiltration, malicious execution, or unauthorized system access.
能力评估
Purpose & Capability
The declared purpose (server-side Arabic video rendering) matches the runtime actions (session creation, upload, render, export) and the single declared secret (NEMO_TOKEN) is appropriate. However, the SKILL.md frontmatter references a required config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — an inconsistency that should be clarified.
Instruction Scope
The instructions direct the agent to use NEMO_TOKEN if present or obtain an anonymous token by POSTing to an external API, create sessions, upload user video files, stream SSE, poll render status, and include attribution headers. Those network operations are expected for this service, but the doc also implies detecting an install path to set X-Skill-Platform (which would require probing local paths) and references a config directory in its metadata — the agent may therefore be directed to access local filesystem state beyond simply reading one env var.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk by an installer here — lowest install risk.
Credentials
Only NEMO_TOKEN is requested as the primary credential, which is proportional for a third-party API. Be aware that the skill instructs the agent to include that token on every request to https://mega-api-prod.nemovideo.ai (i.e., the token will be sent to that domain).
Persistence & Privilege
always:false and no install actions; skill does not request persistent presence or elevated platform privileges in the manifest. Nothing indicates it will modify other skills or system-wide settings.
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-arabic
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maker-arabic 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 Arabic — quickly generate Arabic-language videos with text and subtitles in a simple chat workflow. - Upload your video clips and describe the result; supports product demos, subtitles, voiceovers, and text overlays, all in Arabic. - No video editing timeline or export settings needed; rendering is done on remote GPU servers with typical turnaround in 1–2 minutes. - Handles right-to-left Arabic text layout automatically for subtitles and overlays. - Automatic session and authentication: uses NEMO_TOKEN if available or fetches a temporary token with free credits. - Supports cloud-based video editing actions, credits checking, state queries, and exports via an intuitive set of chat commands.
元数据
Slug maker-arabic
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 Arabic 是什么?

Turn a 60-second product demo video into 1080p Arabic-language videos just by typing what you need. Whether it's creating Arabic-language videos with text an... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 51 次。

如何安装 Maker Arabic?

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

Maker Arabic 是免费的吗?

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

Maker Arabic 支持哪些平台?

Maker Arabic 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 Arabic?

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

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