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dsewell-583h0

Editor Kaise Kare

by dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install editor-kaise-kare
Description
Skip the learning curve of professional editing software. Describe what you want — trim the video, add transitions, and export a clean final cut — and get po...
README (SKILL.md)

Getting Started

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

Try saying:

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

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Editor Kaise Kare — Edit and Export Finished Videos

Drop your raw video clips in the chat and tell me what you need. I'll handle the AI video 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 video, add transitions, and export a clean final cut, 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 60 seconds process significantly faster.

Matching Input to Actions

User prompts referencing editor kaise kare, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source editor-kaise-kare
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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

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

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

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

Session state: GET /api/state/nemo_agent/me/\x3Csid>/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_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> 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.

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)

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the video, add transitions, and export a clean final cut" — 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.

Common Workflows

Quick edit: Upload → "trim the video, add transitions, and export a clean final cut" → 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 will upload any video files you drop into the chat to a third-party service (mega-api-prod.nemovideo.ai) and uses a NEMO_TOKEN (or an anonymously generated token) to do so. Before installing: (1) Confirm you trust the external service and are comfortable sending your videos and any metadata to it; (2) Verify the provenance of this skill (no homepage/source listed); (3) Ask the publisher to clarify the configPath discrepancy (SKILL.md frontmatter references ~/.config/nemovideo/ while registry metadata did not); (4) Avoid sending sensitive content unless you have reviewed the service's privacy terms and token handling. If you need higher assurance, request a published source/homepage or an installable package audited by a trusted party.
Capability Assessment
Purpose & Capability
Name/description (AI cloud video editing) align with the declared primary credential (NEMO_TOKEN) and the API endpoints in SKILL.md. Small inconsistency: registry metadata lists no config paths but the SKILL.md frontmatter's openclaw.requires includes a configPath (~/.config/nemovideo/). This is not fatal but should be clarified.
Instruction Scope
SKILL.md explicitly instructs the agent to upload user video files and to call the remote nemovideo API (session creation, SSE, uploads, render polling). These operations are expected for the stated purpose, but they involve sending user content to a third-party endpoint (mega-api-prod.nemovideo.ai) and handling tokens. The instructions also require adding attribution headers and 'auto-detect' a platform from an install path (which may require reading environment/install path)—this is additional scope the user should be aware of.
Install Mechanism
Instruction-only skill with no install spec or code files. No binaries or archive downloads are requested, so there is minimal install-time risk.
Credentials
Only one credential (NEMO_TOKEN) is required, which is proportionate to a cloud API integration. The SKILL.md also documents generating an anonymous token if NEMO_TOKEN is absent. Watch for the configPath mentioned in frontmatter which could allow the skill to access ~/.config/nemovideo/ if implemented.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system presence. Agent autonomous invocation is allowed (platform default) but not combined here with other broad privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install editor-kaise-kare
  3. After installation, invoke the skill by name or use /editor-kaise-kare
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of "Editor Kaise Kare" for automated video editing and export. - Upload MP4, MOV, AVI, or WebM files up to 500MB; no local software needed. - Instantly trim clips, add transitions, and export 1080p MP4s via cloud tools, ideal for beginners and students. - Automatic setup with free trial credits and session management handled in the background. - User prompts are mapped to editing actions (editing, export, upload, credits, status) for a simple workflow. - Detailed error handling and tips included to streamline the editing process.
Metadata
Slug editor-kaise-kare
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Editor Kaise Kare?

Skip the learning curve of professional editing software. Describe what you want — trim the video, add transitions, and export a clean final cut — and get po... It is an AI Agent Skill for Claude Code / OpenClaw, with 86 downloads so far.

How do I install Editor Kaise Kare?

Run "/install editor-kaise-kare" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Editor Kaise Kare free?

Yes, Editor Kaise Kare is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Editor Kaise Kare support?

Editor Kaise Kare is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Editor Kaise Kare?

It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.

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