ai-shortfilm-prompts

Higgsfield AI Prompt Skill helps an agent turn a natural-language brief into a structured prompt covering model choice, camera, subject, look, and action. It adds platform-aware camera controls, genre recipes, character-consistency guidance, model selection, and troubleshooting for image and video work. The library is useful for ads, narrative scenes, and other cinematic production workflows. It only constructs and refines prompts; generation itself must be run through Higgsfield's CLI, MCP connector, bundled skills, or web platform.

OpenMontage lets an AI coding assistant orchestrate complete video productions through readable pipeline manifests, stage skills, and Python tools. It handles research, proposals, scripts, scene planning, generated or retrieved assets, narration, music, captions, editing, composition, and post-render checks across explainers, documentaries, demos, podcast clips, localization, and other formats. It can analyze a reference video, use free local or open-footage paths, or connect cloud providers. Human approval, budget controls, and quality gates remain part of the workflow.

Narrator AI CLI Skill teaches compatible agents how to operate narrator-ai-cli for complete movie narration production. From a natural-language request, the workflow can search titles, choose templates, background music and voices, generate a script, compose the video, and return a download link. The skill is an instruction layer rather than a standalone tool: narrator-ai-cli, Python 3.10+, an API key, and the bundled references directory are required.

Video Podcast Maker turns a topic into a narrated video workflow: it researches the topic, drafts the script, tracks assets, produces voice-over and subtitles, mixes audio, and renders with Remotion for platforms such as YouTube, Bilibili, Xiaohongshu, Douyin, and WeChat Channels. Free sources can resolve automatically; paid image or video generation requires a quote and explicit approval, and the script still needs repeated human polishing.