For Marketing Editor Ai

v1.0.0

Cloud-based for-marketing-editor-ai tool that handles editing raw footage into ready-to-publish marketing videos. Upload MP4, MOV, AVI, WebM files (up to 500...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for linmillsd7/for-marketing-editor-ai.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "For Marketing Editor Ai" (linmillsd7/for-marketing-editor-ai) from ClawHub.
Skill page: https://clawhub.ai/linmillsd7/for-marketing-editor-ai
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 for-marketing-editor-ai

ClawHub CLI

Package manager switcher

npx clawhub@latest install for-marketing-editor-ai
Security Scan
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Benign
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
Name/description, required env var (NEMO_TOKEN), API endpoints, and actions (upload, render, export) are coherent for a cloud video-editing service. The declared config path (~/.config/nemovideo/) and primaryEnv (NEMO_TOKEN) fit the stated purpose.
Instruction Scope
SKILL.md confines actions to creating sessions, uploading videos, running SSE for edits, and polling renders on mega-api-prod.nemovideo.ai — all consistent with the service. One minor scope note: it instructs deriving an X-Skill-Platform header by detecting an install path (~/.clawhub, ~/.cursor/skills/, etc.), which implies the agent may probe filesystem install locations; this is broader than strictly necessary for basic API calls but not clearly malicious.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is downloaded or written to disk by an installer. This minimizes install-time risk.
Credentials
Only one credential is required (NEMO_TOKEN), which is appropriate for a service that uses bearer tokens. Metadata also lists a config path (~/.config/nemovideo/) which is plausible. Be aware: the skill will use NEMO_TOKEN from the environment if present; ensure you don't place unrelated high-privilege secrets in that variable.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent platform-wide privileges or modify other skills' configurations in the instructions.
Assessment
This skill appears internally consistent with a cloud video-editing service. Before installing/use: (1) only set NEMO_TOKEN if it truly belongs to this service — don't reuse it for unrelated accounts; (2) avoid sending confidential or sensitive videos to an unfamiliar third-party service; (3) note the skill will call https://mega-api-prod.nemovideo.ai and may generate an anonymous token if no NEMO_TOKEN is present; (4) because the package is instruction-only (no code to inspect), you can't verify server-side behavior from the skill bundle — consider asking the publisher for a privacy policy, data retention policy, or a trusted homepage, and prefer ephemeral/anonymous tokens when possible. If you want stronger assurance, request the skill's source or audit logs showing where uploads are sent and how tokens are used.

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

Runtime requirements

📣 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97feyng6vcpm3a1v4t31qdfe984k90v
101downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

Getting Started

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

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "trim the footage, add branded captions,"

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.

For Marketing Editor AI — Edit and Export Marketing Videos

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

Here's a typical use: you send a a 2-minute product demo recording, ask for trim the footage, add branded captions, and cut it into a 30-second ad, 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 — keep clips under 60 seconds for faster processing and tighter ad-ready output.

Matching Input to Actions

User prompts referencing for marketing editor ai, 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.

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

Headers are derived from this file's YAML frontmatter. X-Skill-Source is for-marketing-editor-ai, 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).

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.

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

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

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.

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the footage, add branded captions, and cut it into a 30-second ad" — 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 ad platforms and social media.

Common Workflows

Quick edit: Upload → "trim the footage, add branded captions, and cut it into a 30-second ad" → 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.

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