Edit Video
ArcReel/ArcReel
在剪辑时间线上剪辑一集,并按要求出成片或导出剪映草稿。本集视频已齐、要剪一版时使用;用户按片段编号提出修改(如「c3 太拖」),或要求配 BGM、出成片、导出剪映草稿、复制或重命名剪辑时间线、回到旧修订时,也使用本 skill。
A skill your agent uses when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions…
$ npx skills add scenario-labs/skills --skill scenario-runway -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install scenario-labs/skills scenario-runway --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/scenario-labs/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scenario-runway .claude/skills/scenario-runway && 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 "scenario-runway" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-runway into .claude/skills/scenario-runway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-runway", 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/scenario-labs/skills/tree/main/skills/scenario-runwayType 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 scenario-labs/skills --skill scenario-runway -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install scenario-labs/skills scenario-runway --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/scenario-runway .agents/skills/scenario-runway && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scenario-runway" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-runway into .agents/skills/scenario-runway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-runway", 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 scenario-labs/skills --skill scenario-runway -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install scenario-labs/skills scenario-runway --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/scenario-runway .cursor/skills/scenario-runway && 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 "scenario-runway" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-runway into .cursor/skills/scenario-runway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-runway", 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/scenario-labs/skills.git --path skills/scenario-runway--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 scenario-labs/skills --skill scenario-runway -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install scenario-labs/skills scenario-runway --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/scenario-runway .gemini/skills/scenario-runway && 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 "scenario-runway" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-runway into .gemini/skills/scenario-runway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-runway", 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 scenario-labs/skills scenario-runwayInstalls 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 scenario-labs/skills --skill scenario-runway -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/scenario-runway .github/skills/scenario-runway && 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 "scenario-runway" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-runway into .github/skills/scenario-runway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-runway", 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 scenario-labs/skills --skill scenario-runway -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install scenario-labs/skills scenario-runway --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/scenario-labs/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/scenario-runway .opencode/skills/scenario-runway && 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 "scenario-runway" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-runway into .opencode/skills/scenario-runway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-runway", 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.
scenario-runwayA skill your agent uses when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions…
Scenario Runway is an agent skill from scenario-labs/skills. Use when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions, camera choreography), or video-to-video editing of real footage with Aleph 2 (remove objects, swap products, restyle or relight shots, keyframe-pinned reference images, motion and audio preserved). Keywords: Runway ML, Gen4.5, Gen-4.5, Aleph, T2V, I2V, V2V, first frame.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering AI video generation and Video production. It works with Model Context Protocol. The repository describes itself as: Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f6f8ab7. 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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
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.
Scenario Runway loads about 1.2k tokens when it runs. Until then it costs about 116 tokens; SKILL.md has 560 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 scenario-labs/skills at commit f6f8ab7, republished under its MIT licence (© scenario-labs). 560 words, ~1,167 tokens.
.claude/skills/scenario-runway/SKILL.md (or your agent's skills folder).Runway's family on Scenario splits by direction: Gen4.5 generates new clips from text or a first-frame image; Aleph 2 rewrites existing footage, changing what the prompt names while motion, audio, and structure carry over. Discover both with search; model_schema_get is the contract.
Connection and the core loop: the scenario skill; model-agnostic video work: the scenario-video skill. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.
Mode follows from the inputs (names and caps from the live schema):
| Mode | Inputs | Behavior |
|---|---|---|
| Text (Gen4.5) | prompt | aspectRatio honored; duration 2 to 10 seconds |
| First frame (Gen4.5) | image + prompt | opens on that frame; same duration; aspectRatio ignored |
| Edit (Aleph 2) | video + prompt | rewrites visuals; motion, audio, structure persist |
At authoring time Aleph capped sources at 30 seconds and 16 MB, separate limits: high-bitrate clips hit the size cap first. Its median cost ran six times Gen4.5's, a fifteen-fold spread following the source video: dry_run the exact payload first. Median latency neared six minutes, so jobs_wait will time out mid-job; re-call it with pending_job_ids.
Text mode needs both the visuals and the motion described. A first frame fixes subject, composition, and palette: spend the whole prompt on motion, camera, and atmosphere. Order beats explicitly ("kneels, then rises, camera cranes up") and give multi-beat prompts 8 to 10 seconds of duration. Name camera moves plainly (locked camera, pan, dolly, tracking, orbit, crane), one or two per clip, in present-tense prose.
aspectRatio takes pixel pairs ("1280:720", "960:960"), and text mode honored only the 16:9 and 9:16 pairs at authoring time; get other shapes (1:1, 4:3, 3:4, 21:9) from a first frame with that geometry instead.
An Aleph prompt states the edit: remove, swap, restyle, relight. Everything unnamed persists, along with motion and audio: Aleph cannot re-choreograph or add camera moves; when motion must change, generate with Gen4.5. To steer the edit, pin up to 5 reference images: keyframes places each image (uri) by seconds or at (a 0 to 1 fraction); promptImage by positionType plus timestampSeconds or positionPercentage. The arrays are alternatives, never combined.
search with target="models", query="runway", public=true, e.g. model_runway-aleph-2 for editing, model_runway-gen4-5 for generation (live hits at authoring time: re-discover each session).model_schema_get with the Aleph id before anything else.scenario-video); upload_asset the clip and product still (see the scenario skill).model_run with dry_run=true and the exact parameters={"prompt": "Replace the soda can with the bottle from the reference image. Keep everything else unchanged.", "video": "asset_clip", "keyframes": [{"uri": "asset_bottle", "at": 0}]}; re-estimate after any trim.wait=false, then jobs_wait the returned job id, re-calling with pending_job_ids; a timeout is not a failure and never justifies a second model_run.asset_display the output; check the swap holds in every shot.keyframes and promptImage: exclusive alternatives; pick one.aspectRatio as "16:9" or alongside image: pixel pairs only, and a first frame overrides it.© scenario-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/scenario-runway of scenario-labs/skills.
Open the folder on GitHubat commit f6f8ab7
Scenario Runway 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 |
|---|---|---|---|---|---|---|
| Scenario Runway this skillscenario-labs/skills | 946 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Edit VideoArcReel/ArcReel | 5.4k | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Avatar Videocalesthio/OpenMontage | 66k | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Cassette Video EditCassette-Editor/oh-my-cassette | 119 | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Beatdesign WorkspaceBeatAPI/BeatDesign | 140 | 1 repos | ~632 | Automated safety check: Pass | Apache-2.0 | |
| Blender MCP Videomicky-li-hd/VideoCoCo | 118 | — | ~1.1k | Automated safety check: Pass | None |
ArcReel/ArcReel
在剪辑时间线上剪辑一集,并按要求出成片或导出剪映草稿。本集视频已齐、要剪一版时使用;用户按片段编号提出修改(如「c3 太拖」),或要求配 BGM、出成片、导出剪映草稿、复制或重命名剪辑时间线、回到旧修订时,也使用本 skill。
calesthio/OpenMontage
Create AI avatar videos with precise control over avatars, voices, scripts, scenes, and backgrounds using HeyGen's v2 API.
Cassette-Editor/oh-my-cassette
Edit, trim, cut, caption, subtitle, reframe, combine, add background music to, or export video, audio, and image files through Cassette.
BeatAPI/BeatDesign
操作本地 BeatDesign 项目中的 Canvas、Assets、生成任务、视频时间线和字幕;在用户要求创作、整理、检查或剪辑媒体时使用。
micky-li-hd/VideoCoCo
A skill your agent uses for Blender MCP or Blender CLI video-generation work, especially when rendering scripted Blender scenes, debugging MCP port 9876, checking why blender is not on PATH…
Cassette-Editor/oh-my-cassette
Show or change the Cassette editing model and thinking level for the current media session.
scenario-labs/skills
A skill your agent uses when drawing or animating with Grease Pencil in Blender 5.x from Python: 2D or 2.5D illustration, frame-by-frame animation, a cutout or part-based 2D character, strokes with…
scenario-labs/skills
A skill your agent uses when grooming hair or fur in Blender with hair curves, such as a character hairstyle, animal fur, procedural fur in geometry nodes, or hair cards and mesh hair for games.
scenario-labs/skills
A skill your agent uses when lighting, rendering or compositing in Blender: light a character, product or hero shot, interior at dusk or night, three-point or motivated lighting, sun and sky, HDRI…
scenario-labs/skills
A skill your agent uses when creating a ChatGPT pet or Codex pet with Scenario: hatching an animated companion from a text idea, a character, mascot or brand cue, or reference photos and art; making…
scenario-labs/skills
A skill your agent uses when animating characters or scenes in Godot 4.7: AnimationPlayer clips and RESET, AnimationTree state machines and blend spaces built in code, Mixamo or glTF import, loop…
scenario-labs/skills
A skill your agent uses when adding or fixing sound in Godot 4.7: audio buses and effects, volume sliders, 'too many sounds', combat audio with hundreds of enemies, sounds clipping or distorting, 3D…
Works with
Categories
A skill your agent uses when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions…. Scenario Runway is an agent skill from scenario-labs/skills.5 (cinematic motion, sequenced actions, camera choreography), or video-to-video editing of real footage with Aleph 2 (remove objects, swap products, restyle or relight shots, keyframe-pinned reference images, motion and audio preserved).
Scenario Runway fits situations like: editing video with Runway models on Scenario via MCP: text-to-video; image-to-video from a first frame with Gen4.5 (cinematic motion; sequenced actions; camera choreography).
Run `npx skills add scenario-labs/skills --skill scenario-runway -a claude-code`. Or copy the skill folder (skills/scenario-runway in scenario-labs/skills) into .claude/skills/scenario-runway in your project. Claude Code loads it when a task matches its description.
Run `npx skills add scenario-labs/skills --skill scenario-runway -a codex`. Or copy the skill folder (skills/scenario-runway in scenario-labs/skills) into .agents/skills/scenario-runway 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 scenario-labs/skills --skill scenario-runway -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scenario-runway, .gemini/skills/scenario-runway, .github/skills/scenario-runway and .opencode/skills/scenario-runway in your project.
Going by SKILL.md and its folder, Scenario Runway needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. 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.
Scenario Runway is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Scenario Runway: Edit Video (ArcReel/ArcReel, 5.4k stars), Avatar Video (calesthio/OpenMontage, 66k stars), Cassette Video Edit (Cassette-Editor/oh-my-cassette, 119 stars) and Beatdesign Workspace (BeatAPI/BeatDesign, 140 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
scenario-labs (a GitHub organization) maintains it in scenario-labs/skills, which has 946 GitHub stars. The repository holds 146 skills in this directory. The repository was last updated on October 10, 2026.
Source: scenario-labs/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.