← Back to Skills Marketplace
mhogan2013-9

For Beginners Video Editing With

by mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
88
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install for-beginners-video-editing-with
Description
beginners and first-time editors edit raw video clips into edited video clips using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPU...
README (SKILL.md)

Getting Started

Send me your raw video clips and I'll handle the AI beginner editing. Or just describe what you're after.

Try saying:

  • "edit a 2-minute unedited phone recording into a 1080p MP4"
  • "trim the footage, add transitions, and put text titles at the start"
  • "editing videos without prior experience using AI tools for beginners and first-time editors"

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 Beginners Video Editing With AI — Edit and Export Videos Easily

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

Here's a typical use: you send a a 2-minute unedited phone recording, ask for trim the footage, add transitions, and put text titles at the start, 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 — shorter clips under 3 minutes process significantly faster for beginners testing the tool.

Matching Input to Actions

User prompts referencing for beginners video editing with, 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.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: for-beginners-video-editing-with
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry 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.

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

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)

Common Workflows

Quick edit: Upload → "trim the footage, add transitions, and put text titles at the start" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the footage, add transitions, and put text titles at the start" — 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 and devices.

Usage Guidance
This skill appears to do what it says (cloud video editing), but exercise caution before installing or sending sensitive videos. Specific recommendations: 1) Note the backend domain (mega-api-prod.nemovideo.ai) — verify the service/provider and privacy/retention policy before uploading private content. 2) Prefer the anonymous-token flow for initial testing rather than supplying a personal NEMO_TOKEN. 3) Ask the publisher to explain why the skill needs to detect install paths and read ~/.config/nemovideo/ (if it does); refuse or sandbox the skill if you don't want local filesystem access. 4) Because the skill asks agents to keep technical details out of the chat, be aware network calls may be hidden — request explicit, auditable logs or a transparency mode. 5) Test first with throwaway/sample clips and confirm outputs and any backend storage/retention. If the publisher/ homepage is unknown, treat the skill as untrusted until provenance is established.
Capability Analysis
Type: OpenClaw Skill Name: for-beginners-video-editing-with Version: 1.0.0 The skill bundle provides a legitimate integration for a cloud-based AI video editing service (nemovideo.ai). It contains detailed instructions for the agent to manage authentication, session handling, file uploads, and video rendering via a specific API (mega-api-prod.nemovideo.ai). No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested permissions and network activities are consistent with the stated purpose of processing video files on remote GPUs.
Capability Assessment
Purpose & Capability
The skill is a cloud video-editing frontend and legitimately needs a service token (NEMO_TOKEN) and network access to mega-api-prod.nemovideo.ai. However the skill's registry metadata reported no config paths while the embedded SKILL.md metadata lists ~/.config/nemovideo/ — this mismatch should be reconciled. Overall requested capabilities are plausible for a cloud rendering service.
Instruction Scope
Instructions include normal editing workflow (create session, upload files, start render, poll SSE). They also instruct the agent to detect the install path (~/.clawhub, ~/.cursor/skills/) and to read attribution from the skill's YAML frontmatter at runtime. Detecting install path or reading local config is scope creep: it requires filesystem inspection of user home paths. The SKILL.md also tells the agent to 'keep the technical details out of the chat', which reduces transparency about network activity. These behaviors are not required for core editing and increase privacy risk.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest-risk install posture. No downloads or extracted archives are requested.
Credentials
Only one credential (NEMO_TOKEN) is declared as primary, which is appropriate for an API-backed editing service. The SKILL.md also provides an anonymous-token fallback flow, which reduces the need for a long-lived secret. The metadata's mention of a config path (~/.config/nemovideo/) contradicts the registry's 'no config paths' claim; reading that config directory (if done at runtime) could expose additional local data and should be justified.
Persistence & Privilege
The skill does not request always:true, does not alter other skills' configs, and has no install-time persistence actions. It runs network calls for service use but does not demand permanent agent presence.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install for-beginners-video-editing-with
  3. After installation, invoke the skill by name or use /for-beginners-video-editing-with
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of For Beginners Video Editing With AI — Edit and Export Videos Easily: - Enables beginners and first-time editors to edit raw video clips with AI, no prior experience required. - Accepts video files (MP4, MOV, AVI, WebM, etc.) up to 500MB; processes and exports 1080p MP4 in 1–2 minutes via cloud GPUs. - Workflow supports trimming, transitions, text overlays, and basic editing tasks via simple instructions. - Session-based design: connects to backend, manages credits, and keeps editing state until export. - Provides clear error messages and user guidance for common issues (file size, type, credits, etc.). - Designed for ease of use — upload clips, describe editing needs, receive export-ready MP4 files.
Metadata
Slug for-beginners-video-editing-with
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is For Beginners Video Editing With?

beginners and first-time editors edit raw video clips into edited video clips using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPU... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.

How do I install For Beginners Video Editing With?

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

Is For Beginners Video Editing With free?

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

Which platforms does For Beginners Video Editing With support?

For Beginners Video Editing With is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created For Beginners Video Editing With?

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

💬 Comments