# agnes-ai-generation

Calls Agnes and Sapiens AI generation APIs for text, images, and video directly from your agent. Useful for scripting media generation and testing Agnes 2.0 Flash models.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 2400 installs · ★ 424
- Author: Yacey
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/Yacey/agnes-ai-generation-skill/tree/HEAD/SKILL.md
- Updated: 2026-06-21
- HTML: https://affpapa.org/en/nevibecode/skills/agnes-ai-generation

## What it does

The skill operates via `scripts/agnes_api.py`, avoiding the need to write curl calls manually. It handles standard and streaming text generation with `agnes-2.0-flash`, image generation with `agnes-image-2.1-flash`, and video creation using `agnes-video-v2.0` from prompts or keyframes.

Running calls requires an API key set in `AGNES_API_KEY`, `AGNES_API_TOKEN`, or `APIHUB_AGNES_API_KEY`. The script validates media constraints locally: frame count must follow `8n + 1` up to 441, defaulting to 121 frames at 24 fps. Video creation is asynchronous, polling status by `video_id` until done.

Autonomous multi-turn function calling is unreliable with this provider, so keep to basic text completion endpoints rather than agent tool loops. Prompts for video or image generation should be translated to English before dispatch to prevent provider-side failures.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add Yacey/agnes-ai-generation-skill --skill agnes-ai-generation -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/agnes-ai-generation/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/agnes-ai-generation/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add Yacey/agnes-ai-generation-skill --skill agnes-ai-generation -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/agnes-ai-generation/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add Yacey/agnes-ai-generation-skill --skill agnes-ai-generation -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/agnes-ai-generation/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install Yacey/agnes-ai-generation-skill agnes-ai-generation
```

2. **Manually: put the files in place**
- File: `.github/skills/agnes-ai-generation/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add Yacey/agnes-ai-generation-skill --skill agnes-ai-generation -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/Yacey/agnes-ai-generation-skill
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/agnes-ai-generation/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add Yacey/agnes-ai-generation-skill --skill agnes-ai-generation -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/Yacey/agnes-ai-generation-skill/tree/HEAD/SKILL.md

## When to use it
- generate text and stream completions using Agnes models
- create and edit images through the Agnes image API
- render videos from text prompts or keyframe images with polling
- validate image dimensions and frame counts before sending requests

## Example prompts
- Generate a concise product intro using agnes-2.0-flash
- Create a video from prompt with status polling via agnes_api.py
- Run a smoke test for image editing with scripts/agnes_api.py

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: b855ae2992d16fde.

BEGIN THIRD-PARTY FILE b855ae2992d16fde
````text
---
name: agnes-ai-generation
description: Call Agnes AI / Sapiens AI generation APIs for text, image, and video. Use when the user asks to use Agnes models, Agnes Image, Agnes Video, Agnes 2.0 Flash, apihub.agnes-ai.com, or to generate text, images, edit images, create videos, animate images, create keyframe videos, or test Agnes API calls.
---

# Agnes AI Generation

Use this skill to call Agnes text, image, and video generation APIs through `https://apihub.agnes-ai.com`.

## Quick Start

1. Read `references/api.md` when endpoint details, parameters, or response fields are needed.
2. Use `scripts/agnes_api.py` for real API calls instead of rewriting curl by hand.
3. Require an API key in `AGNES_API_KEY`, `AGNES_API_TOKEN`, or `APIHUB_AGNES_API_KEY`. Never print the key.
4. For light live verification, run `smoke-test`; it avoids video creation by default. Add `--include-image-edit` for image-to-image, and add `--video-case <case>` explicitly for video modes. Treat the skill as fully tested only when basic text, text streaming, text tool calling, text-to-image, image-to-image, text-to-video, image-to-video, multi-image video, keyframe video, and video retrieval return successful responses.

## Commands

Text generation:

```bash
python scripts/agnes_api.py text --prompt "Write a concise product tagline for an AI assistant."
```

Streaming text:

```bash
python scripts/agnes_api.py text --prompt "Write a short product intro." --stream
```

Streaming output is normalized and includes aggregated `content`, `events`, `done`, and a short `raw_prefix`.

Image generation:

```bash
python scripts/agnes_api.py image --prompt "A luminous floating city above a misty canyon at sunrise, cinematic realism" --size 1024x768
```

Image-to-image:

```bash
python scripts/agnes_api.py image --prompt "Turn the scene into a rainy cyberpunk night while preserving composition" --image https://example.com/input.png --size 1024x768
```

Text-to-video with polling:

```bash
python scripts/agnes_api.py video --prompt "A cinematic shot of a cat walking on the beach at sunset" --poll
```

Image-to-video:

```bash
python scripts/agnes_api.py video --prompt "Animate subtle camera movement and natural lighting" --image https://example.com/image.png --poll
```

Keyframe / multi-image video:

```bash
python scripts/agnes_api.py video --prompt "Create a smooth cinematic transition between the two keyframes" --image https://example.com/a.png --image https://example.com/b.png --mode keyframes --poll
```

Retrieve a video task:

```bash
python scripts/agnes_api.py video-get video_123456
```

Light live smoke test:

```bash
python scripts/agnes_api.py smoke-test
```

Image edit smoke test:

```bash
python scripts/agnes_api.py smoke-test --include-image-edit
```

Single video smoke test:

```bash
````
END THIRD-PARTY FILE b855ae2992d16fde

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