Video Generation
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
This skill provides the five-pillar language system for constructing video prompts with cinematic precision.
$ npx skills add alecs5am/ralphy --skill cinematic-motion-language -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alecs5am/ralphy cinematic-motion-language --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alecs5am/ralphy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/notes/skills/cinematic-motion-language .claude/skills/cinematic-motion-language && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "cinematic-motion-language" agent skill from https://github.com/alecs5am/ralphy/tree/main/notes/skills/cinematic-motion-language into .claude/skills/cinematic-motion-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cinematic-motion-language", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alecs5am/ralphy/tree/main/notes/skills/cinematic-motion-languageType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alecs5am/ralphy --skill cinematic-motion-language -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alecs5am/ralphy cinematic-motion-language --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alecs5am/ralphy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/notes/skills/cinematic-motion-language .agents/skills/cinematic-motion-language && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cinematic-motion-language" agent skill from https://github.com/alecs5am/ralphy/tree/main/notes/skills/cinematic-motion-language into .agents/skills/cinematic-motion-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cinematic-motion-language", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alecs5am/ralphy --skill cinematic-motion-language -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alecs5am/ralphy cinematic-motion-language --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alecs5am/ralphy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/notes/skills/cinematic-motion-language .cursor/skills/cinematic-motion-language && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cinematic-motion-language" agent skill from https://github.com/alecs5am/ralphy/tree/main/notes/skills/cinematic-motion-language into .cursor/skills/cinematic-motion-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cinematic-motion-language", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alecs5am/ralphy.git --path notes/skills/cinematic-motion-language--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alecs5am/ralphy --skill cinematic-motion-language -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alecs5am/ralphy cinematic-motion-language --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alecs5am/ralphy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/notes/skills/cinematic-motion-language .gemini/skills/cinematic-motion-language && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cinematic-motion-language" agent skill from https://github.com/alecs5am/ralphy/tree/main/notes/skills/cinematic-motion-language into .gemini/skills/cinematic-motion-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cinematic-motion-language", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alecs5am/ralphy cinematic-motion-languageInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alecs5am/ralphy --skill cinematic-motion-language -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alecs5am/ralphy.git skills-src && mkdir -p .github/skills && cp -r skills-src/notes/skills/cinematic-motion-language .github/skills/cinematic-motion-language && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cinematic-motion-language" agent skill from https://github.com/alecs5am/ralphy/tree/main/notes/skills/cinematic-motion-language into .github/skills/cinematic-motion-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cinematic-motion-language", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alecs5am/ralphy --skill cinematic-motion-language -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alecs5am/ralphy cinematic-motion-language --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alecs5am/ralphy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/notes/skills/cinematic-motion-language .opencode/skills/cinematic-motion-language && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cinematic-motion-language" agent skill from https://github.com/alecs5am/ralphy/tree/main/notes/skills/cinematic-motion-language into .opencode/skills/cinematic-motion-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cinematic-motion-language", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
cinematic-motion-languageThis skill provides the five-pillar language system for constructing video prompts with cinematic precision.
Cinematic Motion Language is an agent skill from alecs5am/ralphy. This skill provides the five-pillar language system for constructing video prompts with cinematic precision. Apply it to any video generation task — atmosphere shots, product reveals, character scenes, abstract motion, sacred/spiritual visuals, or any brief where imprecise language would produce unpredictable results.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implied-off-screen-motion.md`).
It sits in Media & Creative, covering AI video generation. The repository describes itself as: Open-source desktop app for content creation, with an agent runtime and standalone CLI. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 8d139f0. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cinematic Motion Language loads about 1.9k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 993 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from alecs5am/ralphy at commit 8d139f0, republished under its MIT licence (© alecs5am). 993 words, ~1,918 tokens.
.claude/skills/cinematic-motion-language/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.This skill provides the five-pillar language system for constructing video prompts with cinematic precision. Apply it to any video generation task — atmosphere shots, product reveals, character scenes, abstract motion, sacred/spiritual visuals, or any brief where imprecise language would produce unpredictable results.
The core principle: the model understands physics, geometry, sequence, and constraint — not adjectives. Replace every vague descriptor with a physical analogy, spatial coordinate, temporal sequence, or hard rule.
State the camera's behavior as a hard rule before describing anything else. The model treats the camera as a character — define it or it will improvise.
Examples:
Give every moving element a speed reference from the physical world, not an adjective. Pair physical analogies with time-anchored measurements for maximum precision.
Speed analogy examples:
Time-anchored measurements:
Divide the frame into named regions and assign explicit rules to each. This prevents the model from filling empty space with invented content.
Region naming conventions:
Example zone rules:
Describe focus and depth of field as a narrative event with a beginning, middle, and end. Models can simulate focus-breathing, rack focus, and lens diffusion — but only when the sequence is described explicitly as cause and effect.
Example: "Focus opens on the subject. As the foreground element crosses the lens plane, focus shifts onto it — the subject softens into warm bokeh. The element drifts past. Focus breathes back to the subject. This cycle repeats organically 2-3 times."
Key lens vocabulary:
Name empty areas of the frame as intentional design decisions, not absences. Then reinforce them in the negative prompt.
Examples:
Negative prompt reinforcement:
Use this structure for every high-precision video brief:
CAMERA: [static / push / drift / handheld — state as a hard rule] ASPECT RATIO: [21:9 / 16:9 / 9:16] DURATION: [X seconds]
Narrative: [one sentence — what happens]
Action:
Lens:
Spatial Zones:
Audio: [sound texture description — not music genre]
Negative Prompt: [camera moves, spatial violations, style rejections, motion violations]
Camera static locked-off / handheld drift / slow push-in / crane reveal / whip pan / zero movement / no reframe / locked composition
suspended in honey / floating in still air / cathedral smoke / hour-hand pace / imperceptibly slow / continuous fluid arc / no acceleration / no stillness
three-dimensional spiral / orbiting / foreground crossing / contained within zone / rising and descending in soft arcs / catching directional light / swirling behind and around
shallow depth of field / focus-breathing / rack focus / bokeh silhouette / lens plane crossing / anamorphic rendering / focus returns organically / sharp foreground — soft midground — void background
single key light / directional warm / chiaroscuro / golden-amber / deep shadow / no fill / no ambient spill / upper right source / rim light / backlight halo
sacred emptiness / pure black void / no light bleed / no particles / no movement / deliberate compositional weight / active darkness
references/implied-off-screen-motion.md: How to choreograph limbs/props moving through a locked frame to imply a body rotating or moving outside the camera's view. Worked Example — Dervish Shot Brief: Whirling dervish, close-up of raised hand and forearm, golden dust particles, pure black left third, sacred Sufi atmosphere.
Camera: Static locked-off. Zero movement. No pan, no zoom, no dolly.
Motion anchor: Hand traces the arc of one full Sama rotation over 10 seconds — the pace of a clock's hour hand. Particles move like embers in still air.
Lens event: Foreground particles cross lens plane → focus shifts to particles (sharp, glowing) → hand softens to warm bokeh → particles drift past → focus returns to hand. Cycle repeats 2-3 times organically.
Spatial zones:
Negative prompt: camera movement, pan, zoom, dolly, shake, fast motion, fast particles, particles on the left side, light on the left side, acceleration, abrupt cuts, cartoon, anime, strobing.
© alecs5am, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in notes/skills/cinematic-motion-language of alecs5am/ralphy.
Open the folder on GitHubat commit 8d139f0
Cinematic Motion Language next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cinematic Motion Language this skillalecs5am/ralphy | 138 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Video Generationbytedance/deer-flow | 84k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video | 2.6k | — | ~3.6k | Automated safety check: Pass | MIT |
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
itwanger/toBeBetterJavaer
Generate matched 3:4, 16:9, and 4:3 short-video cover images from toBeBetterJavaer video scripts or AI/Java technical topics.
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
cclank/lanshu-create-ai-presenter-video
Turn a topic or finished script into a complete, publish-ready explainer video — led by an AI presenter from an authorized adult presenter image, or performed in one of nine visual explainer styles…
eternityspring/reelbench-skills
拉片:把一条成片拆成逐镜头的分析表——每个镜头的时长、景别、类别、运镜、画面. An agent skill from eternityspring/reelbench-skills.
alecs5am/ralphy
GSAP animation reference for HyperFrames. An agent skill from alecs5am/ralphy.
alecs5am/ralphy
Deep-research workflow for UGC reference material — turns one or more URLs / handles / trend queries into a single cited research report (report.md + sources.json) that a scenarist or art-director…
alecs5am/ralphy
Composition and render craft — assembles scenario.json plus asset-manifest.json into a HyperFrames HTML composition and renders the mp4.
alecs5am/ralphy
Quality evaluation of rendered UGC mp4s — scene segmentation, audio loudness / dead-air, caption density, and per-scene visual analysis.
alecs5am/ralphy
End-to-end orchestration — the wrapper that drives the whole production contract across roles, plus batch production.
alecs5am/ralphy
Scenario and script craft — writes and reworks the scene-by-scene scenario.json: hook, beat structure, per-scene VO, on-screen text, pacing, and the language/aspect pre-flight.
Categories
This skill provides the five-pillar language system for constructing video prompts with cinematic precision. Cinematic Motion Language is an agent skill from alecs5am/ralphy. This skill provides the five-pillar language system for constructing video prompts with cinematic precision.
Cinematic Motion Language fits situations like: tasks that involve AI video generation.
Run `npx skills add alecs5am/ralphy --skill cinematic-motion-language -a claude-code`. Or copy the skill folder (notes/skills/cinematic-motion-language in alecs5am/ralphy) into .claude/skills/cinematic-motion-language in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alecs5am/ralphy --skill cinematic-motion-language -a codex`. Or copy the skill folder (notes/skills/cinematic-motion-language in alecs5am/ralphy) into .agents/skills/cinematic-motion-language in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alecs5am/ralphy --skill cinematic-motion-language -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cinematic-motion-language, .gemini/skills/cinematic-motion-language, .github/skills/cinematic-motion-language and .opencode/skills/cinematic-motion-language in your project.
SKILL.md names no scripts, command-line tools or credentials: Cinematic Motion Language is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Cinematic Motion Language is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 371 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cinematic Motion Language: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alecs5am (a GitHub user) maintains it in alecs5am/ralphy, which has 138 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on September 22, 2026.
Source: alecs5am/ralphy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.