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πŸ¦€ ClawHub

Trimmer Software

by @vcarolxhberger

Turn a 10-minute raw interview recording into 1080p trimmed video clips just by typing what you need. Whether it's cutting down long recordings into clean sh...

Versionv1.0.0
Downloads286
TERMINAL
clawhub install trimmer-software

πŸ“– About This Skill


name: trimmer-software version: "1.0.0" displayName: "Trimmer Software β€” Trim and Export Clean Videos" description: > Turn a 10-minute raw interview recording into 1080p trimmed video clips just by typing what you need. Whether it's cutting down long recordings into clean shorter clips or quick social content, drop your video clips and describe the result you want. No timeline dragging, no export settings β€” 20-40 seconds from upload to download. metadata: {"openclaw": {"emoji": "βœ‚οΈ", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "short_prompts"}}

Getting Started

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

Try saying:

  • "trim my video clips"
  • "export 1080p MP4"
  • "trim the silent pauses and cut"
  • 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 β€” 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.

    Trimmer Software β€” Trim and Export Clean Videos

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

    Say you have a 10-minute raw interview recording and want to trim the silent pauses and cut out the first 30 seconds β€” the backend processes it in about 20-40 seconds and hands you a 1080p MP4.

    Tip: shorter source clips process faster and give more precise trim results.

    Matching Input to Actions

    User prompts referencing trimmer software, 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.

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

    | Header | Value | |--------|-------| | X-Skill-Source | trimmer-software | | X-Skill-Version | frontmatter version | | X-Skill-Platform | auto-detect: clawhub / cursor / unknown from install path |

    All requests must include: Authorization: Bearer , X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

    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.

    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" / "ζ‹–ζ‹½" | Send edit via SSE | | "preview in timeline" | Show track summary | | "Export button" / "ε―Όε‡Ί" | 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 silent pauses and cut out the first 30 seconds" 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 across platforms and devices.

    Common Workflows

    Quick edit: Upload β†’ "trim the silent pauses and cut out the first 30 seconds" β†’ Download MP4. Takes 20-40 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.

    πŸ’‘ Examples

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

    Try saying:

  • "trim my video clips"
  • "export 1080p MP4"
  • "trim the silent pauses and cut"
  • 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 β€” 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.

    Trimmer Software β€” Trim and Export Clean Videos

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

    Say you have a 10-minute raw interview recording and want to trim the silent pauses and cut out the first 30 seconds β€” the backend processes it in about 20-40 seconds and hands you a 1080p MP4.

    Tip: shorter source clips process faster and give more precise trim results.