varg-character-keynote
Makes a vertical 9:16 "character on stage" video in one varg render: a custom character (Higgsfield Soul) stands at a conference keynote and delivers a one- or two-line hook with a physical punchline, voiced by Seedance 2.5 native audio with audience applause. Use when someone asks for a keynote or speaker-style UGC ad, a talking character or talking avatar giving a speech on stage, a spokesperson or mascot delivering one punchy line, a conference talk clip with a custom person, or wants to swap the character in this template. Not for long talking-head videos from a script or voiceover (use varg-ai with a lip-sync model), multi-scene ads with the same actors (use varg-consistent-characters), two-person dialogue (use varg-podcast-video), or songs (use varg-music-video).
- License 许可
- MIT
- 最近更新
- 2026-11-14
- Stars
- ★ 1.6k
- Forks
- 491
01 前言 Front Matter
- name
- varg-character-keynote
- license
- MIT
- metadata
- { "author": "vargHQ", "version": "1.0.0", "openclaw": { "homepage": "https://varg.ai" } }
- description
- Makes a vertical 9:16 "character on stage" video in one varg render: a custom character (Higgsfield Soul) stands at a conference keynote and delivers a one- or two-line hook with a physical punchline, voiced by Seedance 2.5 native audio with audience applause. Use when someone asks for a keynote or speaker-style UGC ad, a talking character or talking avatar giving a speech on stage, a spokesperson or mascot delivering one punchy line, a conference talk clip with a custom person, or wants to swap the character in this template. Not for long talking-head videos from a script or voiceover (use varg-ai with a lip-sync model), multi-scene ads with the same actors (use varg-consistent-characters), two-person dialogue (use varg-podcast-video), or songs (use varg-music-video).
- allowed-tools
- Bash(curl:*) Bash(jq:*) Read Write Edit
- compatibility
- Needs the varg MCP connection (https://mcp.varg.ai/mcp, render_video tool) or a VARG_API_KEY with curl for POST https://api.varg.ai/v2/render. No local dependencies.
03 SKILL.md 正文
varg character keynote
One varg render produces a 9:16 talking-speaker video: Soul generates the character, Nano Banana 2.1 the empty stage, and Seedance 2.5 puts the character on that stage and voices the line with native audio.
Generation runs on varg: the varg MCP server (https://mcp.varg.ai/mcp, tool render_video) or the varg-ai skill (cloud render, POST /v2/render). Read varg-ai for sign-in, models and the render format.
To create or swap a character, edit ONLY three things
LINE: one or two short spoken sentences, emotional hook + payoff (fits 8 s).characterprompt: "Candid photo of ..." + body/face/clothing details + "Vivid saturated colors, realistic skin detail." Contrast sells the line: an exact age, an unusual build or a loud outfit played straight beats a generic presenter. Thevarg-character-designskill has archetypes, realism wording and moderation-safe phrasing; if the speaker must reappear in other videos, make a sheet there and pass its face crop instead of generating with Soul.sceneprompt: stage description, always "empty, no people", with a themed screen behind the speaker.
Template (cloud render: no imports)
const LINE = "I learned to code at sixty-eight. Your excuse just expired.";
const character = Image({
prompt: "Candid photo of <PERSON: age, build, face, hair, clothing, accessories>. Vivid saturated colors, realistic skin detail.",
model: varg.imageModel("soul"),
aspectRatio: "9:16",
// Soul "Realistic" style. Provider options must sit under varg.<provider>, or they are dropped.
providerOptions: { varg: { higgsfield: { params: { style_id: "1cb4b936-77bf-4f9a-9039-f3d349a4cdbe" } } } },
});
const scene = Image({
prompt: "Wide shot of a bright modern conference stage, empty, no people: dark backdrop with a large glowing screen showing <THEMED MINIMALIST SLIDE>, warm spotlights, standing microphone, blurred audience in the dark foreground. Vivid saturated colors, photorealistic event photography.",
model: varg.imageModel("nano_banana_2_1"),
aspectRatio: "9:16",
});
const talk = Video({
prompt: {
text: "The <person> from the first reference image stands center stage as a keynote speaker on the conference stage from the second reference image, holding the microphone. <One line of speaking manner/emotion.> Dialogue: \"" + LINE + "\" On the last words <one physical punchline action>, the audience erupts in applause. Warm spotlights, big-conference keynote energy, vivid saturated colors, no text on screen.",
images: [character, scene],
},
model: varg.videoModel("seedance_2_5"),
aspectRatio: "9:16",
duration: 8,
audio: "native",
});
export default (
<Render width={1080} height={1920}>
<Clip duration={8}>{talk}</Clip>
</Render>
);
Run it
- MCP: price it with
estimate_cost(toolrender, input{ "code": <template> }), then pass the template ascodetorender_videoand pollget_jobuntil it completes. Report the billed cost withget_job_cost. - API: save it as
keynote.tsx, then
curl -s -X POST https://api.varg.ai/v2/render \
-H "Authorization: Bearer $VARG_API_KEY" -H "Content-Type: application/json" \
-d "{\"code\": $(jq -Rs . < keynote.tsx)}"
# -> {"id":"job_xxx",...}; poll until completed, the video is at output.outputs[0].url
curl -s https://api.varg.ai/v2/jobs/JOB_ID -H "Authorization: Bearer $VARG_API_KEY"
Rules
- Cloud render code has NO import statements:
Render,Clip,Image,Videoandvargare globals. Models go ONLY throughvarg.imageModel()/varg.videoModel(); bare model strings crash. Image()andVideo()are function calls, composed with JSX (<Clip>{talk}</Clip>).- One clip = one continuous action; the physical punchline lands on the last words of
LINE. - Keep
"no text on screen"andaudio: "native": speech and applause come from Seedance's native audio. - Price first. Run
estimate_cost(MCP, toolrender) orPOST /v2/estimateon the Seedance request and quote the result in credits. One run is roughly 350 credits at Seedance's default 720p (catalog, October 2026) and takes about 5–15 minutes. Never launch a render without the user's explicit go-ahead. - Seedance renders 720p by default. For 1080p, set the resolution for the route that runs it (see
https://varg.ai/models/seedance_2_5.md); it roughly doubles the cost. aspectRatiomust match on both Images, the Video and the Render canvas (1080×1920 = 9:16). Change all four together when changing format.- Unchanged prompts are cached for free: when iterating on the line or the punchline, keep the
characterandsceneprompts byte-identical so only the video regenerates.
Related skills
varg-ai (sign-in, models, cloud render format), varg-consistent-characters (the same people across several scenes), varg-podcast-video (two characters talking), video-skills (find a skill for another format).
04 同仓库更多 Skills
migrate-to-e2e
Moves an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for /migrate-to-e2e, "migrate our tests to e2e", "port these Maestro flows", "move our TesterArmy tests", or when a project has an e2e config and an older suite still running.
e2e
Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.
create-verification-skill
Generate a project-local verify-<app> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for /create-verification-skill, "make a verification skill for this repo", or when a project has no scripted way to prove UI behavior.
deja-search
deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.
deja-reflect
End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.
revid
Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.