Turn a Text Conversation into a Scene
Convert a real or fictional text exchange into a cinematic scene with matched visuals, atmosphere, and pacing.
Assemble Frames into a Video
Compile a sequence of images into a smooth video with controlled timing, transitions, and audio.
Quick answer: Use the Short Film Maker tool through ToolRouter to assemble frames into a video directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolYou have a set of images that tell a story — product shots, storyboard frames, event photos, animation cels — but turning them into a watchable video requires assembling them with the right timing, transitions, and audio without a dedicated video editing setup.
The `frames_to_video` skill takes an ordered set of images and assembles them into a clean video with configurable frame duration, transition style, and optional audio track. The result can range from a smooth photo story to a proper animated sequence depending on the source material and pacing.
Illustrators, photographers, marketers, and animators use this to convert image series into shareable video content, demo reels, and animated presentations without opening a video editor.
How to assemble frames into a video with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Share your image sequence and Claude will direct the assembly — setting timing, transitions, and audio to match the narrative pacing of the frames. Claude is strongest when the sequence has a story arc that benefits from intentional pacing decisions rather than uniform frame duration.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
How to assemble frames into a video with Claude
Once connected (see setup above), use the Short Film Maker tool:
- Share the ordered image set and describe the intended pacing: fast-cut, slow reveal, or mixed.
- Ask Claude to use `short-film-maker` with `frames_to_video` to assemble the sequence.
- Review the output pacing and transitions — ask Claude to adjust hold times on specific frames or change transition style.
- Export the video for your intended platform, presentation, or delivery format.
Example prompt for Claude
Try this with Claude using the Short Film Maker tool
Use short-film-maker with frames_to_video to assemble these 12 storyboard frames into a 30-second animatic. Hold each frame for 2.5 seconds, use a clean cut between panels, and add a subtle ambient music track. The tone is tense — a thriller genre.
Tips for Claude
- Specify which frames should hold longer — key emotional moments often need more time than transitional panels.
- Describe the narrative arc so Claude can mirror it in the pacing: slow build, fast climax, quiet close.
- Ask Claude to flag any frames with inconsistent resolution or aspect ratio before assembly.
Share your sequence and ChatGPT will produce the assembled video with a documented production spec. This is well-suited when the assembled video is one step in a larger production pipeline that needs recorded decisions for future revisions.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to assemble frames into a video with ChatGPT
Once connected (see setup above), use the Short Film Maker tool:
- Share the ordered image set, total duration target, and any platform or audience constraints.
- Ask ChatGPT to run `short-film-maker` with `frames_to_video` to assemble the sequence.
- Request a production spec covering frame timing, transition choices, audio, and total duration.
- Attach the clip and spec to your production record for revision reference.
Example prompt for ChatGPT
Try this with ChatGPT using the Short Film Maker tool
Use short-film-maker with frames_to_video to turn these 12 storyboard frames into a 30-second animatic. Hold each frame for 2.5 seconds, clean cuts between panels, ambient thriller music. After generating, produce a production spec: frame count, total duration, transition type, audio description.
Tips for ChatGPT
- Document the timing spec after generation so any revision request has a clear baseline to work from.
- Have ChatGPT note which frames were given more or less hold time if the pacing was uneven.
- Ask for alternative timing suggestions before generating — ChatGPT can often identify a stronger pacing strategy for the narrative.
Share the image sequence and Copilot will generate the video with workspace-formatted delivery notes. This fits when the assembled clip needs to slot into a content production tracker or client deliverable log.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to assemble frames into a video with Copilot
Once connected (see setup above), use the Short Film Maker tool:
- Share the image set, target duration, and workspace delivery format requirements.
- Run `frames_to_video` through `short-film-maker` to assemble the sequence.
- Ask Copilot to produce a delivery note with: frame count, total duration, transition type, audio, and review status.
- Add the clip and delivery note to your production workspace.
Example prompt for Copilot
Try this with Copilot using the Short Film Maker tool
Use short-film-maker with frames_to_video to assemble these 12 storyboard frames into a 30-second animatic with clean cuts and ambient thriller music. Return a delivery note in this format: Frame Count, Duration, Transition Type, Audio, Review Status.
Tips for Copilot
- Use a fixed delivery note format across all frame-assembly jobs so the production log stays consistent.
- Ask Copilot to flag out-of-order or mismatched frames before assembly rather than after.
- Specify the review status field in the delivery note so team members know the asset is not yet approved.
Define multiple frame sequences and OpenClaw will assemble them all into consistent videos in a single batch. This is ideal when producing a series of animatics, episode previews, or multi-chapter presentations that share uniform timing and style.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsHow to assemble frames into a video with OpenClaw
Once connected (see setup above), use the Short Film Maker tool:
- Define all image sequences, shared timing rules, transition style, and output schema before batching.
- Run `frames_to_video` through `short-film-maker` across the batch with consistent parameters.
- Review outputs and rerun any sequence where timing or transitions deviated from the brief.
- Deliver the normalized video set for downstream assembly or presentation.
Example prompt for OpenClaw
Try this with OpenClaw using the Short Film Maker tool
Use short-film-maker with frames_to_video to assemble six separate storyboard sequences into animatics. All use 2.5s per frame, clean cuts, and ambient thriller music. Return consistent filenames and flag any sequence with fewer than 8 frames.
Tips for OpenClaw
- Define global timing rules — frame duration, transition type, audio — as a batch-level brief before generating.
- Flag short sequences before batching — very few frames may produce videos too short for the intended use.
- Use consistent output naming tied to sequence IDs so the batch is easy to sort and QA.
Frequently Asked Questions
How do I assemble frames into a video with an AI assistant?
Compile a sequence of images into a smooth video with controlled timing, transitions, and audio. Connect the Short Film Maker tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Share the ordered image set and describe the intended pacing: fast-cut, slow reveal, or mixed. Ask Claude to use `short-film-maker` with `frames_to_video` to assemble the sequence.
Which AI assistants can assemble frames into a video?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all assemble frames into a video using the Short Film Maker tool through ToolRouter, with no API keys or coding required.
What does the Short Film Maker tool do?
Create short films and cinematic clips — from text conversations to scenes, POV shots, title sequences, and loops.
Related Use Cases
Create a POV Cinematic Shot
Generate a first-person perspective clip that puts viewers directly inside the scene — walking into a room, approaching a subject, or experiencing a moment.
Generate a Title Sequence
Create a cinematic opening title sequence with animated typography, atmosphere, and sound design for films, shows, or branded videos.
Create a Seamless Loop Video
Turn a short clip or still image into a perfectly looping ambient video for website backgrounds, digital displays, and social content.