Fal AI Media
affaan-m/ECC
Unified media generation via fal.ai MCP — image, video, and audio.
A skill your agent uses when generating or extending video with Google Veo models on Scenario via MCP: text-to-video, image-to-video from a first frame, first and last frame transitions…
Install Scenario Veo
$ npx skills add scenario-labs/skills --skill scenario-veo -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install scenario-labs/skills scenario-veo --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-veo .claude/skills/scenario-veo && 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-veo" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-veo into .claude/skills/scenario-veo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-veo", 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-veoType 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-veo -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install scenario-labs/skills scenario-veo --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-veo .agents/skills/scenario-veo && 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-veo" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-veo into .agents/skills/scenario-veo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-veo", 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-veo -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install scenario-labs/skills scenario-veo --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-veo .cursor/skills/scenario-veo && 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-veo" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-veo into .cursor/skills/scenario-veo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-veo", 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-veo--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-veo -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install scenario-labs/skills scenario-veo --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-veo .gemini/skills/scenario-veo && 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-veo" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-veo into .gemini/skills/scenario-veo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-veo", 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-veoInstalls 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-veo -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-veo .github/skills/scenario-veo && 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-veo" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-veo into .github/skills/scenario-veo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-veo", 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-veo -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-veo --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-veo .opencode/skills/scenario-veo && 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-veo" agent skill from https://github.com/scenario-labs/skills/tree/main/skills/scenario-veo into .opencode/skills/scenario-veo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scenario-veo", 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.
Facts
- Skill name
scenario-veo- GitHub stars
- 946
- Token cost
- ~1.4k tokens
- SKILL.md length
- 691 words
- Files
- 1
- Skills in repo
- 146
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when generating or extending video with Google Veo models on Scenario via MCP: text-to-video, image-to-video from a first frame, first and last frame transitions…
- Works in 6 steps: search with target="models",… → model_schema_get on the chosen id:… → upload_asset two character stills (see… → …
- Extending video with Google Veo models on Scenario via MCP: text-to-video
- SKILL.md covers Overview, Quick reference, The soundstage is in the prompt and Prompt one continuous shot, plus 2 more sections
- Calls npx
What it does
Scenario Veo is an agent skill from scenario-labs/skills. Use when generating or extending video with Google Veo models on Scenario via MCP: text-to-video, image-to-video from a first frame, first and last frame transitions, reference-to-video (R2V) with asset or style reference images, native audio with dialogue, sound effects, and ambience, negative prompts, seeded reruns, extending a 16:9 clip, or choosing a quality, fast, or lite tier. Keywords: Veo 3.1, Veo 3.1 Fast, Veo 3.1 Lite, Extend Video, Google, T2V, I2V, V2V, 720p, 1080p.
Its SKILL.md is about 1.4k 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. It works with Google Veo and 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.
When your agent uses it
- Extending video with Google Veo models on Scenario via MCP: text-to-video
- Image-to-video from a first frame
- First and last frame transitions
- Reference-to-video (R2V) with asset
Example prompts
- “/scenario-veo”
Requirements
- Node.js
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- search with target="models", query="veo", public=true. Prefer the newest non-deprecated hits, e.g. model_veo3-1 and model_veo3-1-fast…
- model_schema_get on the chosen id: confirm which reference inputs exist before writing the payload.
- upload_asset two character stills (see the scenario skill) to get asset ids.
- model_run with that model_id, dry_run=true, and parameters={"prompt": "Medium shot, the knight lowers her visor and says, \"Hold the…
- Repeat model_run with wait=false, then jobs_wait with the returned job id, re-called with pending_job_ids on timeout, never a second…
- asset_display the output and review with sound. To iterate on wording alone, hold an explicit seed fixed across reruns.
What it can do on your machine
Read from SKILL.md and the folder at commit f6f8ab7. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
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.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Scenario Veo loads about 1.4k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 691 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from scenario-labs/skills at commit f6f8ab7, republished under its MIT licence (© scenario-labs). 691 words, ~1,419 tokens.
Download SKILL.mdSave it as
.claude/skills/scenario-veo/SKILL.md (or your agent's skills folder).- name
- scenario-veo
- description
- Use when generating or extending video with Google Veo models on Scenario via MCP: text-to-video, image-to-video from a first frame, first and last frame transitions, reference-to-video (R2V) with asset or style reference images, native audio with dialogue, sound effects, and ambience, negative prompts, seeded reruns, extending a 16:9 clip, or choosing a quality, fast, or lite tier. Keywords: Veo 3.1, Veo 3.1 Fast, Veo 3.1 Lite, Extend Video, Google, T2V, I2V, V2V, 720p, 1080p.
- license
- MIT
Scenario Veo Video
Overview
Veo, Google's video family on Scenario, ships four members at authoring time: Veo 3.1 (full quality, reference images with a style switch), Veo 3.1 Fast (same modes, quicker, no switch), Veo 3.1 Lite (frame anchors only, cheapest), and Veo 3.1 Extend Video (continues a clip). Discover them with search and treat model_schema_get as the contract: members agree on parameter names and disagree on which inputs exist at all.
Connection and the core loop: see the scenario skill in this repo; 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 from the live schema):
| Mode | Inputs | Behavior |
|---|---|---|
| Text | prompt | aspectRatio 16:9 or 9:16 |
| First frame | image (+ prompt) | opens on that frame; a mismatched image may be cropped |
| Transition | image + lastFrameImage | bridges the stills; prompt one continuous move |
| Reference | referenceImages (1 to 3) | subject or style consistency; duration locked to 8 |
| Extend | video (Extend member) | continues the clip; 16:9 source, short side 720p or 1080p |
image and referenceImages are mutually exclusive. referenceImagesType exists on full Veo 3.1 alone and reads the whole array one way: ASSET (default) carries subjects, objects, and scenes; STYLE carries palette, lighting, and texture. Fast takes references without the switch; Lite takes none. Shared across the three generators at authoring time: negativePrompt, resolution (720p, 1080p), duration (4, 6, or 8 seconds), and seed. generateAudio is required on every member and moves the price. The Extend member takes only prompt, video, generateAudio, and seed: no duration, resolution, or ratio controls. At authoring time price spanned roughly five times between Lite and full 3.1 for one image-to-video job, and one extension cost more than a fresh full generation, so aim for the shot in one 8 second pass and dry_run the same payload on two members before a batch.
The soundstage is in the prompt
With generateAudio: true, Veo renders synchronized dialogue, effects, and ambience, and it takes audio direction literally. Put spoken lines in quotation marks, prefix effects with SFX: and room tone with Ambient noise:. A prompt with no audio direction still gets a soundtrack, just not the one you meant. When a clip needs silence for later scoring, set generateAudio: false rather than prompting for quiet.
Show full SKILL.md (290 more words)Show less
Prompt one continuous shot
Write present-tense prose ordered as cinematography, subject, action, context, style: camera and shot scale first, one primary arc, roughly 90 to 250 words. For several beats in one clip, timestamp lines work ([00:00-00:02] Medium shot...), spans fitting inside the chosen duration.
Worked example: a dialogue shot from character references
searchwithtarget="models",query="veo",public=true. Prefer the newest non-deprecated hits, e.g.model_veo3-1andmodel_veo3-1-fast(live hits at authoring time: re-discover each session).model_schema_geton the chosen id: confirm which reference inputs exist before writing the payload.upload_assettwo character stills (see thescenarioskill) to get asset ids.model_runwith thatmodel_id,dry_run=true, andparameters={"prompt": "Medium shot, the knight lowers her visor and says, \"Hold the line.\" Torchlight flickers on wet stone. Ambient noise: distant thunder. SFX: metal visor clank.", "referenceImages": ["asset_a", "asset_b"], "referenceImagesType": "ASSET", "duration": 8, "resolution": "1080p", "aspectRatio": "16:9", "generateAudio": true}. Estimate the same job on the Fast id (dropreferenceImagesType, absent there) and compare.- Repeat
model_runwithwait=false, thenjobs_waitwith the returned job id, re-called withpending_job_idson timeout, never a secondmodel_run. asset_displaythe output and review with sound. To iterate on wording alone, hold an explicitseedfixed across reruns.
Common mistakes
- Combining
imagewithreferenceImages: mutually exclusive; pick the opening state or consistency. - Any duration but 8 with
referenceImages: reference mode supports only 8 seconds. - Sending
referenceImagesto Lite orreferenceImagesTypeto Fast: the schema decides which inputs exist. - Omitting
generateAudio: it is required on every member; pass it explicitly. - Extending a 9:16 clip: Extend takes 16:9 sources with a 720p or 1080p short side only.
- Writing the prompt as a list of negatives: describe the wanted scene, reserve
negativePromptfor what to discourage.
© 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
Files
Just SKILL.md in skills/scenario-veo of scenario-labs/skills.
Open the folder on GitHubat commit f6f8ab7
Compare with similar skills
Scenario Veo 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 Veo this skillscenario-labs/skills | 946 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Fal AI Mediaaffaan-m/ECC | 277k | 4 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Fal AI Mediaaffaan-m/ECC | 277k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Fal AI Mediaaffaan-m/ECC | 276k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Avatar Videocalesthio/OpenMontage | 66k | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Create Videocalesthio/OpenMontage | 66k | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 |
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Works with
Categories
Questions about Scenario Veo
What does Scenario Veo do?
A skill your agent uses when generating or extending video with Google Veo models on Scenario via MCP: text-to-video, image-to-video from a first frame, first and last frame transitions…. Scenario Veo is an agent skill from scenario-labs/skills. Use when generating or extending video with Google Veo models on Scenario via MCP: text-to-video, image-to-video from a first frame, first and last frame transitions, reference-to-video (R2V) with asset or style reference images, native audio with dialogue, sound effects, and ambience, negative prompts, seeded reruns, extending a 16:9 clip, or choosing a quality, fast, or lite tier.
When should I use Scenario Veo?
Scenario Veo fits situations like: extending video with Google Veo models on Scenario via MCP: text-to-video; image-to-video from a first frame; first and last frame transitions; reference-to-video (R2V) with asset.
How do I install Scenario Veo in Claude Code?
Run `npx skills add scenario-labs/skills --skill scenario-veo -a claude-code`. Or copy the skill folder (skills/scenario-veo in scenario-labs/skills) into .claude/skills/scenario-veo in your project. Claude Code loads it when a task matches its description.
How do I install Scenario Veo in Codex?
Run `npx skills add scenario-labs/skills --skill scenario-veo -a codex`. Or copy the skill folder (skills/scenario-veo in scenario-labs/skills) into .agents/skills/scenario-veo in your project. Codex loads it when a task matches its description.
Can I use Scenario Veo in Cursor, Gemini CLI or GitHub Copilot?
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-veo -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-veo, .gemini/skills/scenario-veo, .github/skills/scenario-veo and .opencode/skills/scenario-veo in your project.
What does Scenario Veo need to run?
Going by SKILL.md and its folder, Scenario Veo needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Scenario Veo access the network?
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.
Is Scenario Veo safe to install?
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.
What licence does Scenario Veo use?
Scenario Veo is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Scenario Veo use?
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Scenario Veo?
Skills that share tags, products or a category with Scenario Veo: Fal AI Media (affaan-m/ECC, 277k stars), Fal AI Media (affaan-m/ECC, 277k stars), Fal AI Media (affaan-m/ECC, 276k stars) and Avatar Video (calesthio/OpenMontage, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scenario Veo?
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.