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mhogan2013-9

Dy Video

by mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install dy-video
Description
edit raw video footage into polished daily videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. daily vloggers and content creators use...
README (SKILL.md)

Getting Started

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

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "cut the long pauses, add background"

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.

Daily Video Editor — Edit and Export Daily 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 2-minute daily vlog recording, ask for cut the long pauses, add background music, and export as a clean daily 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 clips under 3 minutes speeds up processing significantly.

Matching Input to Actions

User prompts referencing dy video, 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 dy-video, 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 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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "cut the long pauses, add background music, and export as a clean daily 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 across platforms.

Common Workflows

Quick edit: Upload → "cut the long pauses, add background music, and export as a clean daily 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.

Usage Guidance
This skill appears purpose-aligned for cloud video editing. Before installing, make sure you are comfortable sending raw footage to mega-api-prod.nemovideo.ai, using or creating a Nemo token, and allowing the workflow to perform edit/export API calls; use non-sensitive clips and a limited token when possible.
Capability Analysis
Type: OpenClaw Skill Name: dy-video Version: 1.0.0 The dy-video skill is a functional wrapper for a cloud-based video editing service (nemovideo.ai). It manages session authentication, video uploads, and rendering tasks via standard REST and SSE API calls. While it performs basic environment discovery to set attribution headers (e.g., checking if installed in ~/.cursor/skills/) and uploads user media to a remote backend, these actions are explicitly documented and necessary for the stated purpose of cloud-based video processing. No evidence of malicious intent, credential theft, or unauthorized execution was found.
Capability Assessment
Purpose & Capability
The described upload, edit, render, and export API actions match the stated daily video editing purpose, but selected media is processed by an external cloud service.
Instruction Scope
The skill tells the agent to connect to the backend before handling requests and to translate backend GUI-style responses into API actions; this is purpose-aligned, but users may want confirmation before export or credit-consuming steps.
Install Mechanism
There is no install script or code file and the static scan is clean, but the registry lists the source as unknown and provides no homepage.
Credentials
Use of NEMO_TOKEN, anonymous starter tokens, and Nemo API calls is proportionate for a cloud editing integration, but users should understand that this credential authorizes sessions, uploads, credits, and renders.
Persistence & Privilege
The artifacts describe provider-side sessions, render job IDs, and anonymous tokens valid for 7 days, but show no local background process, OS privilege escalation, or hidden persistence.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dy-video
  3. After installation, invoke the skill by name or use /dy-video
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of dy-video 1.0.0: streamlined AI-powered daily video editing in the cloud. - Supports MP4, MOV, AVI, and WebM files up to 500MB; export in 1080p MP4 by default. - Handles authentication (with anonymous tokens if needed) and manages user session setup automatically. - Clear mapping of user requests to editing, exporting, credits check, and timeline state actions. - Robust error handling and status feedback throughout all steps, plus tips for efficient editing.
Metadata
Slug dy-video
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Dy Video?

edit raw video footage into polished daily videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. daily vloggers and content creators use... It is an AI Agent Skill for Claude Code / OpenClaw, with 48 downloads so far.

How do I install Dy Video?

Run "/install dy-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Dy Video free?

Yes, Dy Video is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Dy Video support?

Dy Video is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Dy Video?

It is built and maintained by mhogan2013-9 (@mhogan2013-9); the current version is v1.0.0.

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