Six Markdown files make a portable prompt playbook
The repository has 6 files, all Markdown: two READMEs, the core Skill, an editing guide, and two language references. The main README is Chinese, while README_EN.md and references/en.md give English users the same setup and usage path. There is no application hidden behind the documentation. A compatible agent reads SKILL.md, follows its rules, and returns text that the user can paste into a separate video generator.
The output template can contain 12 sections, including character and outfit consistency, setting, camera, timeline, performance, continuity, sound, negative constraints, and model notes. That structure is more useful than a loose request such as "make this cinematic" because each reference receives a job and each moment receives visible behavior. Minimal input is accepted: one reference image, a rough event, a duration, and an optional target model can become a detailed prompt.
Fifteen and 30-second couple scenes are the center of gravity
The timing rules are unusually specific. A 15-second result normally gets 1 to 3 shots and no more than 4 to 7 short dialogue lines. A 30-second scene gets 3 to 4 longer shots and usually 8 to 15 lines. If a 60-second idea meets a model limited to about 30 seconds, the Skill splits it into two parts and carries the final position, action, lighting, and emotional state across the join.
That precision comes with a narrow editorial taste. The default is a familiar adult couple, often a female lead facing a boyfriend's first-person camera. Stories favor teasing, a tiny misunderstanding, awkward comforting, suppressed laughter, and an everyday ending. The rules discourage breakup plots, major betrayal, melodramatic dialogue, rapid camera moves, and large gestures unless requested. Creators making product demonstrations, action scenes, documentaries, or ensemble work would spend much of the prompt overriding defaults.
What happened when we ran it
commit 60553c1 contains no supported language ecosystem and no Dockerfile; its 6 files are instruction documents rather than an executable project. There are consequently no sandbox figures for installation time, dependency count, disk use, build status, tests, or package vulnerabilities. That absence is the relevant finding. The README's download and import steps may be clear, but a code harness cannot verify whether a particular agent loaded the Skill or followed every direction.
Twelve sections add discipline without checking the result
The Skill anticipates common image-to-video failures. It asks the model to lock facial proportions, hair, clothing, room geometry, eyelines, mirror reflections, and hand contact. It translates emotions into observable changes such as looking away, pressing lips, or suppressing a smile. Negative constraints reject extra hands, face swaps, disappearing limbs, random scene changes, and visible camera equipment. These details can make a prompt easier for a video model to interpret.
None of the 12 output sections inspects the generated frames. The repository has no video API, task poller, image comparison, face matcher, media probe, or retry rule based on rendered evidence. A malformed hand can still appear after the prompt says "correct finger count." Identity can still drift after a strong reference mapping. Teams need a separate review loop that watches the clip, checks continuity, and decides whether to regenerate or edit the result.
Five named model families receive text-level adaptation
Seedance, Hailuo, Kling, Veo, and Sora are named in the model guidance. Seedance gets explicit time ranges and limited hand choreography; Hailuo gets stronger identity reminders and one main action at a time. Kling emphasizes spatial blocking, while Veo and Sora may receive richer sound and camera detail. These are prompt-writing branches only. The files contain no capability probe that confirms which model version, duration, reference count, or audio feature is available.
The folder import is similarly client dependent. The README tells users to select the complete Skill directory and refresh the conversation or Skill list, but it does not give verified paths for individual products. There is no package manager command, versioned release, or compatibility table. A user also needs access to a reference-capable video generator after the agent finishes writing. Any API key, credit cost, upload policy, or retention setting belongs to that separate service.
One unanswered license issue blocks safe reuse
GitHub showed 133 stars, 1 open issue, no release, and a last push on August 28, 2026. The only issue, updated September 10, asks what license governs the project because the repository has no LICENSE file. That is a serious adoption gap for a team that wants to copy, modify, bundle, or redistribute the Skill. Public visibility and readable source do not by themselves grant permission for those uses.
The closest substitute depends on the missing capability. Square-Zero-Labs' Video Prompting Skill covers more video models and character-sheet work. Claude Remotion Skill targets rendered motion graphics with an inspection loop, while LTX-Video supplies a runnable open model. Reference Video Director remains appealing for its exact niche: short, reference-led couple scenes with small reactions. Until licensing and output checks exist, keep it as an evaluated personal prompt aid rather than a dependency in a commercial production system.