← 返回 Skills 市场
susan4731-wilfordf

Maker To Generator

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
37
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install maker-to-generator
功能描述
Get generated video files ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "co...
使用说明 (SKILL.md)

Getting Started

Share your video clips and I'll get started on AI video generation. Or just tell me what you're thinking.

Try saying:

  • "convert my video clips"
  • "export 1080p MP4"
  • "convert my video maker project into"

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.

Maker to Generator — Convert Projects Into Generated Videos

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

A quick example: upload a 30-second product clip, type "convert my video maker project into a shareable generated video", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: shorter source clips generate faster and with fewer artifacts.

Matching Input to Actions

User prompts referencing maker to generator, 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.

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

Header Value
X-Skill-Source maker-to-generator
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

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

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.

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)

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 → "convert my video maker project into a shareable generated video" → Download MP4. Takes 30-60 seconds 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 "convert my video maker project into a shareable generated 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.

安全使用建议
This skill looks purpose-aligned and instruction-only. Before installing, be comfortable with sending your clips and prompts to NemoVideo's cloud API, use a dedicated NEMO_TOKEN if possible, and supervise exports or edits that the backend asks the agent to perform.
功能分析
Type: OpenClaw Skill Name: maker-to-generator Version: 1.0.0 The 'maker-to-generator' skill is a legitimate integration for the Nemo Video AI service (mega-api-prod.nemovideo.ai). It facilitates video processing workflows including session management, file uploads, and cloud rendering. The skill correctly handles authentication via the NEMO_TOKEN environment variable or an anonymous token generation process, and it includes instructions to protect sensitive data by not printing tokens in the UI. No indicators of malicious intent, data exfiltration, or unauthorized execution were found.
能力评估
Purpose & Capability
The stated purpose—converting uploaded video clips into generated/exported videos—matches the API upload, render, state, and export instructions. Users should notice that media processing happens on a remote service.
Instruction Scope
The skill gives the agent routing instructions for uploads, status, credits, SSE generation, and export. It also tells the agent to translate backend GUI-like responses into API actions, which is purpose-aligned but worth supervising.
Install Mechanism
There is no install spec and no code files; the artifact is instruction-only, and the static scanner had nothing suspicious to report.
Credentials
The skill requires or obtains a NEMO_TOKEN for the remote API. This is expected for the service integration, and the instructions explicitly say not to print tokens.
Persistence & Privilege
The skill creates and saves a remote session_id for rendering jobs. This appears scoped to the video session, though the artifact notes that closing the tab can orphan a remote render job.
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-to-generator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maker-to-generator 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 to Generator — quickly convert video projects to shareable generated videos in the cloud. - Upload video clips (MP4, MOV, AVI, WebM, up to 500MB) and describe your desired output for fast AI video generation. - Automated setup: supports anonymous access by generating a temporary token with 100 free credits, valid for 7 days. - Export 1080p MP4 from your projects in 30–90 seconds; all rendering handled server-side for quick turnaround. - Supports core actions via prompt routing: upload, export, check credits, track session state, and edit timelines. - Includes robust error handling, multi-format support, and session/timeline management for iterative workflows.
元数据
Slug maker-to-generator
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 To Generator 是什么?

Get generated video files ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "co... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 37 次。

如何安装 Maker To Generator?

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

Maker To Generator 是免费的吗?

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

Maker To Generator 支持哪些平台?

Maker To Generator 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 To Generator?

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

💬 留言讨论