Agnes Ai Generation

Community

Yacey

agnes-ai-generation

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.

Overview

Publisher	Yacey
Repository	`agnes-ai-generation-skill`
Skill name	`agnes-ai-generation`
Stars	425
Forks	77
Bundled files	4
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Yacey on GitHub. Read the source before you install it.

Installation

Install the Agnes Ai Generation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Yacey/agnes-ai-generation-skill/tree/master
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Yacey/agnes-ai-generation-skill.git \
  .claude/skills/agnes-ai-generation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agnes Ai Generation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agnes Ai Generation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agnes Ai Generation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Agnes AI Generation

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

Quick Start

Read references/api.md when endpoint details, parameters, or response fields are needed.
Use scripts/agnes_api.py for real API calls instead of rewriting curl by hand.
Require an API key in AGNES_API_KEY, AGNES_API_TOKEN, or APIHUB_AGNES_API_KEY. Never print the key.
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
python scripts/agnes_api.py smoke-test --video-case text-to-video

Workflow

Prefer agnes-2.0-flash for text chat/completions.
Do not use Agnes Responses API multi-turn function calling for autonomous tool workflows. Live testing showed the provider can return function_call with overall status=completed, and submitting function_call_output with previous_response_id may fail. Use this skill's chat completions path for text generation and treat tool-calling as best-effort request-shape compatibility only.
Prefer agnes-image-2.1-flash for text-to-image, image-to-image, and high-information-density image generation. High-density generation is prompt-driven; include subject hierarchy, environment, secondary details, lighting, composition, and quality requirements.
Prefer agnes-video-v2.0 for text-to-video, image-to-video, multi-image video, keyframe animation, prompt-based motion and scene control, cinematic output, asynchronous task creation, polling-based result retrieval, and seed-based reproducibility.
For image and video generation, convert any non-English user prompt to a fluent English generation prompt before calling the image/video API. English prompts are more stable for Agnes video generation. Preserve concrete visual details, style, lighting, composition, motion, camera instructions, and constraints during translation.
For videos, remember the API is asynchronous: create a task first, then poll or retrieve by video_id when the create response includes it. The script falls back to legacy task_id lookup only when video_id is absent.
The script validates image sizes, video frame counts, frame rates, and dimensions before sending requests. num_frames must be 8n + 1 and <= 441; 81 or 121 are good short values.
The video command defaults to num_frames=121 and frame_rate=24 for more stable generation. Video smoke tests default to num_frames=81 and frame_rate=24.
Warn the user before costly or long-running live video generation unless they explicitly asked to test or generate video.
Test video capabilities one at a time with smoke-test --video-case <case> to avoid creating many tasks at once. Supported cases are text-to-video, image-to-video, multi-image, and keyframes.

Current Validation Notes

Confirmed locally: skill metadata validation and Python syntax.
Confirmed by live API: basic text, streaming text, tool-calling request shape, text-to-image, image-to-image, high-information-density text-to-image, Chinese prompt translation for image/video, completed text-to-video URL retrieval, and completed image-to-video URL retrieval.
Caveat: Agnes may accept tool-calling request parameters without consistently returning tool_calls; use smoke-test --strict-tools when strict tool-call validation is required.
Caveat: Agnes Responses API multi-turn function calling is not reliable for agent tool loops; do not rely on it for Codex/Claude-style automatic tool continuation.
Supported by the script and smoke-test selector, but not re-run end-to-end in the latest pass: multi-image video and keyframe animation.
Not yet confirmed end-to-end: completed URL retrieval for every multi-image video and keyframe animation task. A previous text-to-video task returned a provider-side division by zero error, so keep video retries visible and report provider errors clearly.

Output Handling

Return generated image/video URLs directly by default. Do not download, save, open, or inspect generated media unless the user explicitly asks for a local file or visual inspection.
For image responses, expect URL-style results when extra_body.response_format is url.
For video responses, extract URLs from video_url, url, or remixed_from_video_id when status is completed.
For video retrieval, prefer GET /agnesapi?video_id=...&model_name=agnes-video-v2.0; legacy GET /v1/videos/{task_id} remains a fallback.
If a request fails, report HTTP status and provider error body without exposing the API key.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agnes Ai Generation AI skill do?

Why use Agnes Ai Generation on TypingMind?

Because you install it once and use it with any model. Agnes Ai Generation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agnes Ai Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yacey/agnes-ai-generation-skill/tree/master. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agnes Ai Generation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agnes Ai Generation?

As many as you like. As long as a model supports skills, you can use Agnes Ai Generation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agnes Ai Generation AI skill free?

Yes. It is published on GitHub by Yacey under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Agnes AI Generation

Quick Start

Commands

Workflow

Current Validation Notes

Output Handling

Bundled files

Frequently asked questions

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