Vertical Video

v1.0.0

Get vertical MP4 clips ready to post, without touching a single slider. Upload your horizontal video footage (MP4, MOV, AVI, WebM, up to 500MB), say somethin...

0· 62·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for tk8544-b/vertical-video.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Vertical Video" (tk8544-b/vertical-video) from ClawHub.
Skill page: https://clawhub.ai/tk8544-b/vertical-video
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install vertical-video

ClawHub CLI

Package manager switcher

npx clawhub@latest install vertical-video
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description (convert horizontal video to vertical MP4) match the declared API calls, upload endpoints, SSE stream usage, and the single required credential (NEMO_TOKEN). Asking for an API token and session management is appropriate for a cloud render service.
Instruction Scope
SKILL.md focuses on uploading videos, starting render jobs, polling state, and returning download URLs. It does not instruct reading unrelated system files or harvesting other credentials. It does instruct automatic anonymous-token creation if NEMO_TOKEN is absent, which is consistent with establishing per-session access to the backend.
Install Mechanism
Instruction-only skill with no install spec or code files; nothing is written to disk by an installer. This minimizes risk and is proportional to the described functionality.
Credentials
Only one env var (NEMO_TOKEN) is required, which is appropriate. The skill also instructs creating an anonymous token via the service if none is present. Metadata lists a config path (~/.config/nemovideo/) which is plausible for persisting session state, but the SKILL.md does not explicitly describe writing to that path — a minor inconsistency to be aware of.
Persistence & Privilege
always:false and normal model invocation — expected. The skill mentions storing session_id and includes a config path in metadata; while storing session info locally (or in agent storage) is reasonable, users should be aware tokens/sessions might be persisted for later use.
Assessment
This skill appears to do what it says: it uploads your videos to a third‑party service (mega-api-prod.nemovideo.ai) and returns reformatted MP4s. Before installing: (1) confirm you are comfortable uploading video content to that domain; (2) decide whether to provide your own NEMO_TOKEN (from a trusted account) or allow the skill to create an anonymous token — anonymous tokens are short‑lived but still grant the service access to uploaded media; (3) check whether session/token data will be stored on disk (~/.config/nemovideo/) if you want to avoid local persistence; (4) avoid supplying unrelated secrets. If any of these are unacceptable, do not enable the skill.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

📱 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk975wqnhrdw19w87zwdqe8ys9h85g7cc
62downloads
0stars
1versions
Updated 3d ago
v1.0.0
MIT-0

Getting Started

Got horizontal video footage to work with? Send it over and tell me what you need — I'll take care of the AI format conversion.

Try saying:

  • "convert a 60-second landscape YouTube clip into a 1080p MP4"
  • "convert this horizontal video to vertical 9:16 format for TikTok"
  • "converting landscape videos to 9:16 portrait format for Reels and TikTok for TikTok creators"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Vertical Video — Convert Videos to Portrait Format

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

Here's a typical use: you send a a 60-second landscape YouTube clip, ask for convert this horizontal video to vertical 9:16 format for TikTok, and about 20-40 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter clips under 60 seconds process fastest and give the AI more control over smart cropping.

Matching Input to Actions

User prompts referencing vertical video, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip 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:

HeaderValue
X-Skill-Sourcevertical-video
X-Skill-Versionfrontmatter version
X-Skill-Platformauto-detect: clawhub / cursor / unknown from install path

Every API call needs Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

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

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

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

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

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

Session state: GET /api/state/nemo_agent/me/<sid>/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_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> 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.

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)

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Common Workflows

Quick edit: Upload → "convert this horizontal video to vertical 9:16 format for TikTok" → Download MP4. Takes 20-40 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 this horizontal video to vertical 9:16 format for TikTok" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 with H.264 codec for widest compatibility across TikTok, Reels, and YouTube Shorts.

Comments

Loading comments...