| name | anime-live-action-pipeline |
| description | 7-step anime-to-live-action conversion pipeline: analyze clip → design characters → generate references → plan shots → generate clips → review quality → assemble final film. Use for all anime-to-live-action generation requests. |
Anime to Live-Action Pipeline
Overview
This skill provides the standard workflow for converting Japanese anime clips into cinematic live-action short films using the Deep Agents framework.
Pipeline Steps
Step 1: Analyze
Delegate to analyze-agent with the user's anime clip path and mode setting.
Pass:
clip_path: Path to the input anime videomode: The execution mode (local / cloud / hybrid)
The agent returns structured data about scenes, characters, motion, and art style.
Step 2: Design Characters
Delegate to design-character-agent with the analysis result from Step 1.
Pass:
- The
characters array from the analysis
- Any
style_notes for guidance
The agent returns detailed live-action character sheets with appearance, wardrobe, and expression sets.
Step 3: Generate References
Delegate to generate-reference-agent with the character designs and style notes.
Pass:
- Character design data
- Style notes and reference prompts from the design step
The agent returns paths to generated reference images.
Step 4: Plan Shots
Delegate to plan-shots-agent with the scene analysis, style notes, and reference images.
Pass:
- Scene data from the analysis (scenes array)
- Style notes
- Reference image paths
The agent returns a detailed shot plan with camera, lighting, and composition specs.
Step 5: Generate Clips
Delegate to generate-clips-agent with the shot plan, references, and character designs.
Pass:
- Shot plan from Step 4
- Reference image paths
- Character design data
- Mode setting
The agent returns paths to generated video clips.
Step 6: Review Quality
Delegate to review-quality-agent with the generated clip paths and original shot plan.
Pass:
- Paths to generated clips
- The original shot plan for comparison
The agent returns a quality assessment with pass/fail, score, and feedback.
Quality Loop: If passed is False and iteration < max_iterations, increment iteration and return to Step 5 with the review feedback. If passed is True or iteration >= max_iterations, proceed to Step 7.
Step 7: Assemble Final
Delegate to assemble-final-agent with all approved clip paths.
Pass:
- All clip paths that passed quality review
- Desired transition type
The agent returns the final assembled video path.
Edge Cases
- Invalid input: If the user provides a non-video file or a path that doesn't exist, return an error immediately without running the pipeline.
- Mode switching: The mode can be changed between runs. Always use the mode the user specified.
- Partial results: If a step fails critically, return partial results with an error message rather than crashing.
- Quality loop exhaustion: If max_iterations is reached without passing quality review, proceed with the best available clips and note the quality limitation in the final output.
Mode-Specific Notes
- local: All processing runs on local infrastructure (LM Studio, ComfyUI). Slower but private.
- cloud: Uses cloud APIs (Gemini, Veo). Fastest and highest quality but requires API keys.
- hybrid (default): Analysis runs locally, video generation runs in cloud. Best balance.
