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BytesAgain β€Ί Skills β€Ί Contents Generator
πŸ¦€ ClawHub

Contents Generator

by @dsewell-583h0

generate text prompts or footage into structured video content with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and market...

Versionv1.0.0
Downloads273
#writing#video#legal
TERMINAL
clawhub install contents-generator

πŸ“– About This Skill

name: contents-generator version: "1.0.0" displayName: "Contents Generator β€” Generate Videos From Your Content" description: > generate text prompts or footage into structured video content with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and marketers use it for generating organized video content from raw footage or ideas 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": "short_prompts"}}

Getting Started

> Share your text prompts or footage and I'll get started on AI content generation. Or just tell me what you're thinking.

Try saying:

  • "generate my text prompts or footage"
  • "export 1080p MP4"
  • "generate a structured video with intro,"

    • 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.

    Contents Generator β€” Generate Videos From Your Content

    This tool takes your text prompts or footage and runs AI content generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

    Say you have a 2-minute raw product demo recording and want to generate a structured video with intro, sections, and outro from my footage β€” the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

    Tip: shorter source clips under 3 minutes produce faster and more focused outputs.

    Matching Input to Actions

    User prompts referencing contents generator, 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.

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

    | Header | Value | |--------|-------| | X-Skill-Source | contents-generator | | 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.

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

    Create session: POST /api/tasks/me/with-session/nemo_agent β€” body {"task_name":"project","language":""} β€” returns task_id, session_id.

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

    Upload: POST /api/upload-video/nemo_agent/me/ β€” file: multipart -F "files=@/path", or URL: {"urls":[""],"source_type":"url"}

    Credits: GET /api/credits/balance/simple β€” returns available, frozen, total

    Session state: GET /api/state/nemo_agent/me//latest β€” key fields: data.state.draft, data.state.video_infos, data.state.generated_media

    Export (free, no credits): POST /api/render/proxy/lambda β€” body {"id":"render_","sessionId":"","draft":,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/ 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.

    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)

    Error Handling

    | Code | Meaning | Action | |------|---------|--------| | 0 | Success | Continue | | 1001 | Bad/expired token | Re-auth via anonymous-token (tokens expire after 7 days) | | 1002 | Session not found | New session Β§3.0 | | 2001 | No credits | Anonymous: show registration URL with ?bind= (get from create-session or state response when needed). Registered: "Top up credits in your account" | | 4001 | Unsupported file | Show supported formats | | 4002 | File too large | Suggest compress/trim | | 400 | Missing X-Client-Id | Generate Client-Id and retry (see Β§1) | | 402 | Free plan export blocked | Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export." | | 429 | Rate limit (1 token/client/7 days) | Retry in 30s once |

    Tips and Tricks

    The backend processes faster when you're specific. Instead of "make it look better", try "generate a structured video with intro, sections, and outro from my footage" 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†’ "generate a structured video with intro, sections, and outro from my footage" 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

    > Share your text prompts or footage and I'll get started on AI content generation. Or just tell me what you're thinking.

    Try saying:

  • "generate my text prompts or footage"
  • "export 1080p MP4"
  • "generate a structured video with intro,"

    • 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.

    Contents Generator β€” Generate Videos From Your Content

    This tool takes your text prompts or footage and runs AI content generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

    Say you have a 2-minute raw product demo recording and want to generate a structured video with intro, sections, and outro from my footage β€” the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

    Tip: shorter source clips under 3 minutes produce faster and more focused outputs.