Description

Cloud-based fast-video-editing-with tool that handles quickly trimming and enhancing raw footage without manual editing. Upload MP4, MOV, AVI, WebM files (up...

README (SKILL.md)

Getting Started

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

Try saying:

"edit my raw video clips"
"export 1080p MP4"
"trim the pauses, add transitions, and"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

Generate a UUID as client identifier
POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Fast Video Editing With AI — Edit and Export Videos Quickly

Name: Fast Video Editing With
Author: mory128

This tool takes your raw video clips and runs AI-powered video editing through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 3-minute unedited screen recording and want to trim the pauses, add transitions, and export in 1080p — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter clips under 2 minutes process significantly faster.

Matching Input to Actions

User prompts referencing fast 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: fast-video-editing-with
X-Skill-Version: from frontmatter version
X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else 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 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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the pauses, add transitions, and export in 1080p" — 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 the widest platform compatibility.

Common Workflows

Quick edit: Upload → "trim the pauses, add transitions, and export in 1080p" → Download MP4. Takes 30-60 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.

Usage Guidance

This skill appears to be a normal cloud video-editing integration, but before installing: (1) confirm you trust the remote domain https://mega-api-prod.nemovideo.ai because the skill sends your videos and bearer tokens there; (2) ask the publisher why the SKILL.md lists ~/.config/nemovideo/ when the registry shows no required config paths—that directory might contain tokens or config; (3) if you keep sensitive tokens in your environment, consider running the skill in a sandbox or remove sensitive env vars during use; (4) if you are uncomfortable with autonomous invocation, restrict the skill or require manual approval for network actions. If the publisher can explain the configPath mismatch and confirm no extra local secrets are read, the remaining behavior is consistent with the advertised purpose.

Capability Analysis

Type: OpenClaw Skill Name: fast-video-editing-with Version: 1.0.0 The skill provides a functional interface for a cloud-based video editing service (nemovideo.ai). It handles session management, file uploads, and video rendering via a standard API structure. While it requests access to a specific configuration directory (~/.config/nemovideo/) and environment variables (NEMO_TOKEN), these actions are directly aligned with its stated purpose of managing cloud-based editing tasks and attribution headers. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.

Capability Assessment

ℹ Purpose & Capability

The name/description, listed API endpoints, and required NEMO_TOKEN align with a cloud video‑editing service. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata listed no required config paths; this mismatch is unexplained but could be benign (e.g., optional local config). The ability to obtain an anonymous token if NEMO_TOKEN is missing is coherent for giving a fallback.

ℹ Instruction Scope

Instructions are focused on uploading files, creating sessions, sending SSE messages, polling render state, and returning download URLs — all expected for this purpose. The runtime instructions also tell the agent to read the skill's YAML frontmatter and to probe user home paths (~/.clawhub, ~/.cursor) to detect platform; those filesystem checks are outside the core editing flow but are limited in scope (platform detection). The skill also instructs network POST/GET calls to an external domain (mega-api-prod.nemovideo.ai) which is central to its function.

✓ Install Mechanism

No install spec or code files — instruction-only skill. This is the lowest install risk; nothing is downloaded or written by an installer per the provided metadata.

⚠ Credentials

Registry declares NEMO_TOKEN as the primary credential which is appropriate for a cloud API, but SKILL.md also documents an anonymous-token acquisition flow (POST to /api/auth/anonymous-token). The SKILL.md frontmatter also lists a config path (~/.config/nemovideo/) that the registry did not declare — reading that path could expose local credentials/config not described in the registry. The number of secrets requested is small and plausible, but the metadata/registry inconsistency and implicit access to a local config merit caution.

ℹ Persistence & Privilege

The skill is not marked always:true and does not request elevated system privileges. It will run network requests and can be invoked autonomously (platform default). It also instructs probing the user's home for install-path detection which is low-privilege but broadens the data the skill can observe.

Version History

v1.0.0

Initial release: fast cloud-based AI video editing for raw footage. - Upload video files (MP4, MOV, AVI, WebM up to 500MB), describe edits, and get 1080p MP4 output in 30-60 seconds. - Automatic setup: handles token generation, session creation, and backend connection. - Supports rapid trimming, transitions, aspect ratio changes, audio tracks, and text overlays via natural language prompts. - User-friendly error handling for file types, size, credits, and rate limits. - Detailed session and job handling to ensure smooth cloud processing and export. - Designed for content creators and marketers needing fast, hands-off video editing.

Metadata

Slug fast-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 Fast Video Editing With?

Cloud-based fast-video-editing-with tool that handles quickly trimming and enhancing raw footage without manual editing. Upload MP4, MOV, AVI, WebM files (up... It is an AI Agent Skill for Claude Code / OpenClaw, with 91 downloads so far.

How do I install Fast Video Editing With?

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

Is Fast Video Editing With free?

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

Which platforms does Fast Video Editing With support?

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

Who created Fast Video Editing With?

It is built and maintained by mory128 (@mory128); the current version is v1.0.0.

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