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vcarolxhberger

Arch Video

by vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install arch-video
Description
edit architectural footage into polished architectural video with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. architects and real estate ma...
README (SKILL.md)

Getting Started

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

Try saying:

  • "edit my architectural footage"
  • "export 4K MP4"
  • "trim the footage, add smooth transitions,"

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.

Arch Video — Edit and Export Architectural Videos

Drop your architectural 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 walkthrough recording of a building interior, ask for trim the footage, add smooth transitions, and overlay architectural labels on key spaces, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 4K by default.

One thing worth knowing — shorter room-by-room clips produce cleaner transitions than one long continuous recording.

Matching Input to Actions

User prompts referencing arch 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.

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

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

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.

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)

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

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.

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 "trim the footage, add smooth transitions, and overlay architectural labels on key spaces" — 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 client presentations and web platforms.

Common Workflows

Quick edit: Upload → "trim the footage, add smooth transitions, and overlay architectural labels on key spaces" → 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 looks like a straightforward connector to an external nemovideo API and needs one token (NEMO_TOKEN). Before installing: 1) Confirm you trust the external domain (mega-api-prod.nemovideo.ai) and its privacy/storage policies because your video files and derived outputs will be uploaded there. 2) Clarify the config path behavior — SKILL.md references ~/.config/nemovideo/ (possible local storage of tokens/session_id) even though registry metadata omitted it. 3) If you don't already have a trusted NEMO_TOKEN, the skill can request an anonymous token for 7 days — be aware that anonymous tokens grant credits and are still sent in Authorization headers. 4) Avoid uploading sensitive or legally protected footage until you verify data retention and sharing terms. If you want higher assurance, ask the skill author for a privacy/data-retention statement or for the API service's official homepage and docs before proceeding.
Capability Analysis
Type: OpenClaw Skill Name: arch-video Version: 1.0.0 The arch-video skill is a legitimate integration for a cloud-based architectural video editing service. It provides the AI agent with structured instructions for managing authentication, sessions, and media processing via the 'nemovideo.ai' API. The skill handles token generation and RESTful communication for video rendering without any evidence of data exfiltration, malicious execution, or deceptive prompt injection.
Capability Assessment
Purpose & Capability
The skill declares a single primary credential (NEMO_TOKEN) and its SKILL.md describes calls to a nemovideo API to upload, edit, and render videos — this matches the stated purpose. Minor inconsistency: the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths.
Instruction Scope
Runtime instructions are focused on session/auth, uploading user video files, SSE editing, and polling for export results — all expected for a cloud editor. They explicitly instruct generating or using a NEMO_TOKEN and saving session_id. The instructions require constructing custom attribution headers (X-Skill-Source/Version/Platform) and ask to auto-detect platform from an install path, which could cause the agent to inspect its environment/install path; this is a minor scope expansion but explainable by the header requirement.
Install Mechanism
No install step or downloadable code is present; the skill is instruction-only so it does not write files or pull remote archives. This is the lowest install risk.
Credentials
Only NEMO_TOKEN is required (and the skill provides a path to obtain an anonymous token if not provided), which is proportional for a service that requires authentication. The frontmatter's configPaths entry (~/.config/nemovideo/) is present in SKILL.md but was not listed in the registry’s 'required config paths' — that mismatch should be clarified because it implies the skill may read or store credentials/session info on disk.
Persistence & Privilege
always:false (not force-included) and normal autonomous invocation are used. The skill expects to create and reuse a session_id and may persist a token/session info (frontmatter config path), which is standard for API clients but the user should confirm where tokens are stored and for how long.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install arch-video
  3. After installation, invoke the skill by name or use /arch-video
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Arch Video 1.0.0 — Initial Release - Launches cloud-based editing and export for architectural video, supporting MP4, MOV, AVI, and WebM files up to 500MB. - Enables AI-assisted trimming, transitions, architectural labels, and 4K MP4 export with 1–2 minute processing times. - Features automatic setup with free token registration and session management. - Provides clear action mapping for edits, uploads, export, and credit checks via chat commands. - Includes robust error handling, tips for best results, and step-by-step workflow guidance. - Requires attribution headers on every API request for successful export.
Metadata
Slug arch-video
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Arch Video?

edit architectural footage into polished architectural video with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. architects and real estate ma... It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.

How do I install Arch Video?

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

Is Arch Video free?

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

Which platforms does Arch Video support?

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

Who created Arch Video?

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

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