🎁 Get the FREE AI Skills Starter Guide β€” Subscribe β†’
BytesAgainBytesAgain
BytesAgain β€Ί Skills β€Ί Ai Video Editor Job Vacancy
πŸ¦€ ClawHub

Ai Video Editor Job Vacancy

by @peand-rover

edit raw footage into polished edited clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. freelance video editors use it for editing raw...

Versionv1.0.0
Downloads272
#video#legal
TERMINAL
clawhub install ai-video-editor-job-vacancy

πŸ“– About This Skill

name: ai-video-editor-job-vacancy version: "1.0.0" displayName: "AI Video Editor Job Vacancy β€” Edit and Export Polished Videos" description: > edit raw footage into polished edited clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. freelance video editors use it for editing raw footage into professional video deliverables β€” processing takes 1-2 minutes on cloud GPUs and you get 1080p MP4 files. metadata: {"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}

Getting Started

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

Try saying:

  • "edit a 2-minute interview recording into a 1080p MP4"
  • "trim silences, add transitions, and export a clean final cut"
  • "editing raw footage into professional video deliverables for freelance video editors"

    • 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 β€” 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 , Content-Type: application/json, and body {"task_name":"project","language":""}. 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 Job Vacancy β€” Edit and Export Polished Videos

    Send me your raw footage and describe the result you want. The AI video editing runs on remote GPU nodes β€” nothing to install on your machine.

    A quick example: upload a 2-minute interview recording, type "trim silences, add transitions, and export a clean final cut", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

    Worth noting: shorter clips under 3 minutes process significantly faster.

    Matching Input to Actions

    User prompts referencing ai video editor job vacancy, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

    | User says... | Action | Skip SSE? | |-------------|--------|----------| | "export" / "ε―Όε‡Ί" / "download" / "send me the video" | β†’ Β§3.5 Export | βœ… | | "credits" / "η§―εˆ†" / "balance" / "余钝" | β†’ Β§3.3 Credits | βœ… | | "status" / "ηŠΆζ€" / "show tracks" | β†’ Β§3.4 State | βœ… | | "upload" / "上传" / user sends file | β†’ Β§3.2 Upload | βœ… | | Everything else (generate, edit, add BGM…) | β†’ Β§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":""}. 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/ | POST | Upload a file (multipart) or URL. | | /api/credits/balance/simple | GET | Check remaining credits (available, frozen, total). | | /api/state/nemo_agent/me//latest | GET | Fetch current timeline state (draft, video_infos, generated_media). | | /api/render/proxy/lambda | POST | Start export. Body: {"id":"render_","sessionId":"","draft":,"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-job-vacancy, 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).

    Include Authorization: Bearer and all attribution headers on every request β€” omitting them triggers a 402 on export.

    Error Codes

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

    Translating GUI Instructions

    The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" β†’ execute the action via the relevant endpoint
  • "open" or "打开" β†’ query session state to get the data
  • "drag/drop" or "ζ‹–ζ‹½" β†’ send the edit command through SSE
  • "preview in timeline" β†’ show a text summary of current tracks
  • "Export" or "ε―Όε‡Ί" β†’ run the export workflow

    • Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

    Example timeline summary: 

    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 silences, add transitions, and export a clean final cut" β€” 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.

    Common Workflows

    Quick edit: Upload β†’ "trim silences, add transitions, and export a clean final cut" β†’ 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.

    πŸ’‘ Examples

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

    Try saying:

  • "edit a 2-minute interview recording into a 1080p MP4"
  • "trim silences, add transitions, and export a clean final cut"
  • "editing raw footage into professional video deliverables for freelance video editors"

    • 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 β€” 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 , Content-Type: application/json, and body {"task_name":"project","language":""}. 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 Job Vacancy β€” Edit and Export Polished Videos

    Send me your raw footage and describe the result you want. The AI video editing runs on remote GPU nodes β€” nothing to install on your machine.

    A quick example: upload a 2-minute interview recording, type "trim silences, add transitions, and export a clean final cut", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

    Worth noting: shorter clips under 3 minutes process significantly faster.