ziho7/agnes-skills/agnes-videogen
Claude Code and agent skill by ziho7/agnes-skills
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Checking that the SKILL.md file is still in the repository.
Generate videos using the Agnes Video V2.0 model API. Use when the user asks to generate videos via Agnes AI platform (apihub.agnes-ai.com). Triggers on: agnes video, agnes 视频, video gen, generate video, text to video, image to video, keyframe interpolation, 生视频, 文生视频, 图生视频.
Install
npx vskill@latest install ziho7/agnes-skills/agnes-videogenSKILL.md
Agnes Video Generation
Generate videos using the Agnes Video V2.0 API.
Prerequisites
- An Agnes AI API key from API Platform
- Base URL:
https://apihub.agnes-ai.com/v1
API Architecture
Agnes Video V2.0 uses an asynchronous two-step workflow:
- Create Video Task — submit the request, get a
video_id - Retrieve Video Result — poll the
video_idto get the final video
API Endpoints
Step 1: Create Video Task
Endpoint: POST https://apihub.agnes-ai.com/v1/videos
Headers:
Authorization: Bearer YOUR_API_KEYContent-Type: application/json
Step 2: Retrieve Video Result
Endpoint: GET https://apihub.agnes-ai.com/agnesapi?video_id=<VIDEO_ID>
Headers:
Authorization: Bearer YOUR_API_KEY
Optional parameter: model_name — specify model explicitly (e.g., agnes-video-v2.0)
Legacy method (compatibility): GET https://apihub.agnes-ai.com/v1/videos/<TASK_ID>
Model Name
agnes-video-v2.0
Request Parameters (Create Task)
| Parameter | Type | Required | Description | |
|---|---|---|---|---|
| model | string | Yes | Use agnes-video-v2.0 | |
| prompt | string | Yes | Text description of the video content | |
| image | string / array | No | Image URL or image URL array (for image-to-video) | |
| mode | string | No | Generation mode: ti2vid (text-to-video) or keyframes | |
| height | integer | No | Video height. Default: 768 | |
| width | integer | No | Video width. Default: 1152 | |
| num_frames | integer | No | Number of frames. Must be ≤ 441, follows 8n + 1 rule | |
| frame_rate | number | No | Video FPS. Range: 1–60 | |
| num_inference_steps | integer | No | Number of inference steps | |
| seed | integer | No | Random seed for reproducible results | |
| negative_prompt | string | No | Content to avoid | |
| extra_body.image | array | No | Input image URLs for multi-image or keyframe mode | |
| extra_body.mode | string | No | Additional mode setting, e.g., keyframes |
Workflows
1. Text-to-Video
Response:
2. Image-to-Video (single image)
3. Multi-Image Video
4. Keyframe Interpolation
Retrieve Video Result
Poll until status is "completed" and progress is 100:
Completed response:
Final video URL: remixed_from_video_id
Result Fields
| Field | Type | Description | |
|---|---|---|---|
| id | string | Task ID | |
| video_id | string | Video ID | |
| model | string | Model used | |
| object | string | Always "video" | |
| status | string | Task status (queued, processing, completed, failed) | |
| progress | integer | Progress percentage (0–100) | |
| seconds | string | Video duration | |
| size | string | Video resolution (e.g., "1280x768") | |
| remixed_from_video_id | string | Final video URL (only when completed) | |
| error | string / null | Error message if failed |
Important Notes
- Asynchronous workflow: Submit → get
video_id→ poll for result num_framesmust follow8n + 1rule and be ≤ 441frame_raterange: 1–60- Default resolution: 1152×768
- Recommended polling interval: 5–10 seconds
- Timeout recommended: 60s–360s for create request
- Pricing: Currently free during beta
Supported Capabilities
- Text-to-Video generation
- Image-to-Video generation
- Multi-image video composition
- Keyframe interpolation
- Custom resolution, frame rate, and duration
- Reproducible results via seed
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingagnes-videogen/SKILL.md
Popularity
- Repository stars
- 70
- Repository forks
- 14
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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