본문으로 건너뛰기
cccskills
무료GitHub에 공개

scenario-runway

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md4.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Scenario Runway Video

Overview

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.

Quick reference

Mode follows from the inputs (names and caps from the live schema):

ModeInputsBehavior
Text (Gen4.5)promptaspectRatio honored; duration 2 to 10 seconds
First frame (Gen4.5)image + promptopens on that frame; same duration; aspectRatio ignored
Edit (Aleph 2)video + promptrewrites 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.

Gen4.5 prompts follow the mode

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.

Aleph changes what you name

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.

Worked example: swap a product in real footage

  1. 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).
  2. model_schema_get with the Aleph id before anything else.
  3. Trim or compress a source over the caps (see scenario-video); upload_asset the clip and product still (see the scenario skill).
  4. 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.
  5. Repeat with 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.
  6. asset_display the output; check the swap holds in every shot.

Common mistakes

  • Sending both keyframes and promptImage: exclusive alternatives; pick one.
  • Restating the first frame in an image-mode prompt: prompt motion and camera instead.
  • Passing aspectRatio as "16:9" or alongside image: pixel pairs only, and a first frame overrides it.
  • Asking Aleph for new motion or camera moves: the source's motion persists by design.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Handle review comments received on GitHub for the current branch's PR or a given PR number or URL, by triaging each unresolved thread, fixing what is warranted, pushing, and replying in each thread, when asked to address, fix or answer PR comments. Works in any Scenario repository.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

scenario-labs/skills1.1천2026년 10월 23일 업데이트

Generate one short Conventional Commits squash message describing only the net diff between the PR's base and head, set its header as the PR title, validate it with the repository's commitlint and both copy its description to the clipboard and display it, when asked for a squash message. Works in any Scenario repository, whatever its default branch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

scenario-labs/skills1.1천2026년 10월 23일 업데이트

Refresh the current pull request description from its net changes, following the repository's PR template, when asked to update or write the PR summary. Works in any Scenario repository, whatever its default branch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

scenario-labs/skills1.1천2026년 10월 23일 업데이트

scenario

무료

Use when connecting an AI agent to Scenario (scenario.com) through MCP, or when a task involves generating images, video, 3D, audio, sprites, textures, or game assets. Also when picking a Scenario model, running a LoRA, refining a generation prompt, uploading reference images, waiting on generation jobs, checking credits or quota, hitting Scenario auth, scope, or Forbidden errors, or setting up mcp.scenario.com in Claude Code, Cursor, VSCode, or another agent.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

scenario-labs/skills1.1천2026년 10월 23일 업데이트

Use when generating or handling 3D assets through the Scenario MCP server, including text-to-3D or image-to-3D meshes, GPT-6 Astra 3D or Claude Opus 5.5 3D, GLB, FBX, OBJ, STL, or VOX files, PBR-textured or game-ready models, voxel models, multi-view reconstruction, editing a mesh by prompt, retexture, remesh, UV unwrap, auto-rigging a biped or quadruped, or retargeting an animation, previewing a mesh in the 3D viewer, or downloading a model for import into Unity, Unreal, Godot, or Blender.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

scenario-labs/skills1.1천2026년 10월 23일 업데이트

Use when generating navigable 3D worlds or Gaussian splat scenes on Scenario via MCP: text-to-world, image-to-world, a 360 panorama or skybox turned into a walkable splat, multi-view photos or a video walkthrough reconstructed as a splat, or one object photo to splat. Keywords: World Labs Marble 1.1, 1.1 Plus, 1.0 Draft, Hunyuan World, HY World, image-to-skybox, skybox-to-splat, multiview-to-splat, TripoSplat, gaussian splatting, 3DGS, spz, world generation, explorable scene, VR.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

scenario-labs/skills1.1천2026년 10월 23일 업데이트

scenario-labs의 스킬 모두 보기

이 스킬의 문제 신고