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Turn stories into highly consistent cinematic videos using a deterministic 9-step pipeline orchestrated by Google ADK and wave execution.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
ADK multi-agent story-to-video: vision-grounded LTX motion prompts, Grok refs, LTX 2.3 I2V.
Publish AI-generated videos from a Google Sheet queue to YouTube and Instagram. Instagram Login API (graph.instagram.com), token exchange, Drive via gws. Use when publishing final_film.mp4 to social channels from Hermes VPS agents.
Turn story manifests into scene images using agent-composed prompts (prompt.json) and config-driven workflow templates. Supports model swapping (Qwen, HiDream, etc.) without code changes. Covers character sheet generation (Gemini or ComfyUI T2I fallback), prompt composition, batch scene generation, and vision-based evaluation (OpenRouter Gemini 3.1 Flash Lite with thinking tokens, or Gemini API fallback).
Parse ComfyUI workflow JSONs, extract all required models (UNET, CLIP, VAE, LoRA, checkpoints) and custom node packs, research download URLs via HuggingFace CLI (never download!), and generate self-contained provisioning-ready bash scripts for $REPO_ROOT/workflows/setup/. Scripts must be platform-aware (Vast.ai + RunPod) and end with a ComfyUI restart.
Turn stories into highly consistent cinematic videos using a cloud-based image generation backend (Grok Imagine via fal.ai) and self-hosted LTX-2.3 FLF2V video generation.
Turn story manifests into highly consistent cinematic videos using a 3-stage model chain: Ideogram 4 (T2I) for scene still generation and character sheets, Flux Klein 9B (I2I) for character consistency editing (edit pass), and LTX 2.3 FFLF Seed Hunter for video generation. Utilizes the batch-wave model with automated quality evaluation gates.
| name | story-to-video-deterministic |
| version | 1.0.0 |
| description | Turn stories into highly consistent cinematic videos using a deterministic 9-step pipeline orchestrated by Google ADK and wave execution. |
| triggers | ["deterministic","deterministic pipeline","story-to-video-deterministic"] |
This skill implements a fully scripted, deterministic story-to-video pipeline using Google ADK for structured orchestration and wave execution to minimize model swaps and ensure character consistency.
Run the pipeline programmatically or via python CLI by passing the story text:
python3 main.py --story "Your story content here" --name "story_output_dir_name"