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tk8544-b

Ai Video Editor From Prompt

by tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-video-editor-from-prompt
Description
Skip the learning curve of professional editing software. Describe what you want — create a 30-second product video from this description: energetic, modern...
README (SKILL.md)

Getting Started

Send me your text prompt and I'll handle the AI video generation. Or just describe what you're after.

Try saying:

  • "generate a short text description like 'a 30-second promo for a coffee shop with upbeat music' into a 1080p MP4"
  • "create a 30-second product video from this description: energetic, modern style, with text overlays"
  • "generating ready-to-publish videos from a text description alone for marketers, social media creators, small business owners"

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 \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. 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.

AI Video Editor from Prompt — Generate Videos from Text Prompts

Drop your text prompt in the chat and tell me what you need. I'll handle the AI video generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a short text description like 'a 30-second promo for a coffee shop with upbeat music', ask for create a 30-second product video from this description: energetic, modern style, with text overlays, 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 — more specific prompts produce better results — include style, tone, and length in your description.

Matching Input to Actions

User prompts referencing ai video editor from prompt, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: 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 ai-video-editor-from-prompt, 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).

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.

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

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.

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 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 "create a 30-second product video from this description: energetic, modern style, with text overlays" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across social platforms and websites.

Common Workflows

Quick edit: Upload → "create a 30-second product video from this description: energetic, modern style, with text overlays" → 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 to do what it says (calls nemovideo.ai to generate videos). Before installing: (1) verify you trust the external domain (mega-api-prod.nemovideo.ai); uploaded media and prompt text will be sent to that service; do not upload sensitive material unless you trust their policies; (2) be aware the skill will obtain/store an anonymous bearer token automatically if you don't set NEMO_TOKEN — consider providing your own token only if you trust the service; (3) the skill may read install/config paths to derive headers (minor metadata leakage); (4) if you install it, monitor where the token/session are stored (e.g., ~/.config/nemovideo/) and delete them when no longer needed. If you need higher assurance, ask the skill author for a source repository, privacy policy, or verification of the nemo service before proceeding.
Capability Analysis
Type: OpenClaw Skill Name: ai-video-editor-from-prompt Version: 1.0.0 The skill 'ai-video-editor-from-prompt' is a legitimate integration for a cloud-based video generation service (nemovideo.ai). It provides instructions for an AI agent to manage video editing tasks, including automated session setup, file uploads, and rendering via a dedicated API. The skill includes security-conscious instructions to avoid displaying raw API tokens to the user and follows standard patterns for API-based tools without any evidence of data exfiltration, malicious execution, or unauthorized system access.
Capability Assessment
Purpose & Capability
The skill claims to generate videos via a cloud backend and requires a NEMO_TOKEN; that is proportionate. The declared config path (~/.config/nemovideo/) and primaryEnv NEMO_TOKEN align with storing a token/session for the external nemo service.
Instruction Scope
SKILL.md instructs the agent to call nemovideo.ai endpoints, obtain anonymous tokens if NEMO_TOKEN is not set, create sessions, upload files, and stream SSE responses. These actions are expected for a remote render pipeline. Two points to note: (1) the skill will automatically request an anonymous token and use it if the user hasn't supplied NEMO_TOKEN (this creates an outbound network call and issues a bearer token valid for 7 days); (2) the skill derives an X-Skill-Platform header from install paths (which may require reading environment/paths and could leak platform/install info). The instructions explicitly say not to display raw token values to users.
Install Mechanism
No install spec or code is included — this is instruction-only and does not write new binaries to disk. That minimizes install-time risk; however runtime network calls to an external service are required.
Credentials
Only one credential is declared (NEMO_TOKEN), which matches the service being called. The skill will create and use an anonymous token if none is provided, and recommends storing session_id and token (implied in the declared config path). This is proportionate, but users should be aware that uploads and prompt text will be sent to nemo's servers and that the skill may persist a token/session locally.
Persistence & Privilege
The skill does not request always:true, no special platform privileges are declared, and it does not propose modifying other skills. It does imply persisting an ephemeral anonymous token and session_id (normal for a cloud service).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-video-editor-from-prompt
  3. After installation, invoke the skill by name or use /ai-video-editor-from-prompt
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Instantly generate 30-second product videos from text prompts, with no editing skills required. - Create MP4, MOV, WebM, or AVI videos up to 500MB from a simple text prompt (style, tone, overlays, etc.) - Automatic cloud GPU processing — videos ready in 1-2 minutes, 1080p by default - Supports uploading and editing your own footage, audio, or images - Simple authentication with free token and 100 credits (7-day validity) - Full video editing workflow: prompt-based editing, file upload, export, and credit balance tracking - Built-in error handling for upload limits, credits, authentication, and session status
Metadata
Slug ai-video-editor-from-prompt
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ai Video Editor From Prompt?

Skip the learning curve of professional editing software. Describe what you want — create a 30-second product video from this description: energetic, modern... It is an AI Agent Skill for Claude Code / OpenClaw, with 94 downloads so far.

How do I install Ai Video Editor From Prompt?

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

Is Ai Video Editor From Prompt free?

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

Which platforms does Ai Video Editor From Prompt support?

Ai Video Editor From Prompt is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ai Video Editor From Prompt?

It is built and maintained by tk8544-b (@tk8544-b); the current version is v1.0.0.

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