Lanshu AI Presenter Video — workflow skill for talking heads & avatars
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curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add.mdto its path. Before generating anything, show the person the options on the use-case page.
Publish-ready explainers led by an AI presenter from an authorized photo, or in one of twelve presenter-free styles.
- Type: Workflow · Talking heads & avatars
- Slug:
lanshu-ai-presenter-video - Status: live
- Publisher: Lanshu (community)
- License: MIT
- Source: https://github.com/cclank/lanshu-create-ai-presenter-video
- Works in: Claude Code, Codex, Cursor, Gemini CLI
- Requires: Python 3.9+, FFmpeg with ffprobe, bash and jq, Node.js (npx) and rsync for the styled-explainer route, Provider credentials for voice and presenter generation
- Cost: Uses your own voice and video provider keys; the provider is chosen per job
- Adoption: 37 installs, 2,818 GitHub stars (GitHub + skills.sh, 2026-10-26)
What it does
Turns a topic or a finished script into a complete explainer video, either led by an AI presenter generated from an authorized adult presenter image or performed without a presenter in one of twelve explainer styles (nine visual, such as paper pop-up, clay town, blueprint and chalkboard, plus three narrative ones). It runs a resumable job state machine (lock content and audio, plan and generate the presenter, edit, verify and deliver), supports revising, captioning, lip-sync repair and re-exporting an existing job, and records the actual model and provider chosen for each job instead of hard-coding one. Published by Lanshu (cclank), with Chinese and English READMEs.
Use when
- Make a digital-presenter explainer from a script
- Pick a presenter-free explainer style
- Fix lip sync or captions on an existing presenter job
Not for
- Promos, ads or footage montages (the skill excludes them)
- Presenter images you are not authorized to use
Install
- Claude Code:
git clone https://github.com/cclank/lanshu-create-ai-presenter-video.git ~/.claude/skills/lanshu-create-ai-presenter-video
Example output
https://skills.varg.ai/previews/lanshu-ai-presenter-video.mp4 — Creator's explainer on Hugging Face Storage: an AI presenter generated and embedded by this skill beside code-drawn explainer panels (graphics via the creator's companion html2video skill). First 8 s of 30 s. (credit: 岚叔 Lanshu (@LufzzLiz), https://x.com/LufzzLiz/status/2094018562046271682)
Used for
- Talking avatar or presenter: A person (from a headshot, or generated) speaks your script to camera with lip-sync, in any language.
More talking heads & avatars skills
- Character Keynote: One render call: a Soul character delivers a keynote-style ad line on a generated stage, voiced by Seedance 2.5.
- Podcast Dialogue Video: Two-character podcast or debate clips: one studio set, locked camera angles, MiniMax H3 Max with native audio.
- Talking Head Production: Produce talking-head videos with AI avatars, lip-sync and voiceover, from portrait specs to final cut.
- AI Avatar Video: Create talking-head avatar videos from a portrait and a script, with a lip-synced voice.
- P-Video Avatar: Turn one portrait into a speaking avatar video with Pruna P-Video-Avatar, its built-in TTS or your audio.
- AI Podcast Video: Generate a multi-person talking-head podcast video from scratch: characters, voices, avatars, stitching.
Run the generation on varg
varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt