Skip to content
mcp/skillhub

Agent Skill

AI Avatar Video skill

ai-avatar-videoprime-skills/runcomfy-agent-skillsai-avatar-video/SKILL.md

Create AI avatar, talking-head, and lip-sync videos on RunComfy via the `runcomfy` CLI. Routes across ByteDance OmniHuman (audio-driven full-body avatar), Wan-AI Wan 2-7 (audio-driven mouth sync via `audio_url` on a portrait), HappyHorse 1.0 (Arena #1 t2v / i2v with in-pass audio), and Seedance v2 Pro (multi-modal cinematic with reference audio + reference subject). Picks the right model for the user's actual intent — UGC voiceover, virtual presenter, dubbed product demo, lip-synced character, dialog scene — and ships each model's documented prompting patterns plus the minimal `runcomfy run` invoke. Triggers on "talking head", "lip sync", "avatar video", "make X speak", "audio to video", "audio driven avatar", "virtual presenter", "AI spokesperson", "dubbed video", "UGC avatar", "HeyGen alternative", "Synthesia alternative", "digital human", "make this portrait talk", "video from voiceover", or any explicit ask to put words in a face.

58MIT

always on

238 tokname + description

once used

3,961 tokSKILL.md body

bundled files

0

installs

378kskills.sh

Install the AI Avatar Video skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill ai-avatar-video

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/prime-skills/runcomfy-agent-skills.git /tmp/runcomfy-agent-skills
mkdir -p ~/.claude/skills
cp -R /tmp/runcomfy-agent-skills/ai-avatar-video ~/.claude/skills/ai-avatar-video

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description238 tok
When the agent uses itThe SKILL.md instructions3,961 tok
Only if openedNo bundled files—

Until it is used, ai-avatar-video costs about 5.7× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 30 skills from prime-skills/runcomfy-agent-skills would load 5,840 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Pre-approved tools (allowed-tools): Bash(runcomfy *). The agent can use these without asking while the skill is active.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • AI Avatar & Talking Head Video
  • Powered by the RunComfy CLI
  • Install this skill
  • Pick the right model for the user's intent
  • Route 1: OmniHuman — default audio-driven avatar
  • Invoke
  • Tips
  • Route 2: Wan 2-7 with audiourl — open-weights lip-sync
  • Invoke
  • Tips
  • Route 3: Wan 2-2 Animate — full-body character animation
  • Invoke
  • Route 4: HappyHorse 1.0 — in-pass audio (no external file)
  • Invoke
  • Tips
  • Route 5: Seedance v2 Pro — multi-modal cinematic
  • Invoke
  • Common patterns
  • UGC product ad (vertical, single voiceover)
  • Multi-language brand video
  • Stylized mascot
  • "Write a script, get a video" (no audio file)
  • Cinematic monologue
  • Talking head from a generated image (chain skills)

More skills from prime-skills/runcomfy-agent-skills

All skills in this repo
  1. video-editprime-skills/runcomfy-agent-skills

    Edit existing video on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Wan 2.7 Edit-Video (general restyle / background swap / packaging swap, identity + motion preservation), Kling 2.6 Pro Motion Control (transfer precise motion from a reference video to a target character), or Lucy Edit Restyle (lightweight identity-stable restyle / outfit swap). Bundles each model's documented prompting patterns so the skill gets sharper edits without burning iterations on the wrong model. Calls `runcomfy run <vendor>/<model>/<endpoint>` through the local RunComfy CLI. Triggers on "video edit", "edit video", "restyle video", "swap video background", "motion control", "outfit swap video", or any explicit ask to transform a video.

    438k180 tok idle · 2,688 in use
  2. image-to-videoprime-skills/runcomfy-agent-skills

    Animate any still image on RunComfy — this skill is a smart router that matches the user's intent to the right i2v model in the RunComfy catalog. Picks HappyHorse 1.0 I2V (Arena #1, native audio, identity preservation) for general animations, Wan 2.7 with `audio_url` for custom-voiceover lip-sync, or Seedance 2.0 Pro for multi-modal animation from image + reference video + reference audio. Bundles each model's documented prompting patterns so the caller gets sharper output without burning iterations on the wrong model. Calls `runcomfy run <vendor>/<model>/image-to-video` (or endpoint variant) through the local RunComfy CLI. Triggers on "image to video", "image-to-video", "i2v", "animate image", "make this move", or any explicit ask to turn a still into video.

    436k190 tok idle · 3,129 in use
  3. nano-banana-2prime-skills/runcomfy-agent-skills

    Generate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream instead. Calls `runcomfy run google/nano-banana-2/text-to-image` through the local RunComfy CLI. Triggers on "nano banana", "nano-banana-2", "nano banana 2", "google image gen", "gemini image", or any explicit ask to generate with this model.

    436k174 tok idle · 2,320 in use
  4. image-editprime-skills/runcomfy-agent-skills

    Edit images on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Nano Banana Edit (batch up to 20, identity-preserving default), OpenAI GPT Image 2 Edit (multilingual in-image text rewrite, multi-ref composition, layout precision), Flux Kontext Pro (single-ref high-fidelity local edit), or Z-Image Turbo Inpaint (mask-driven precise region edit). Bundles each model's documented prompting patterns so the skill gets sharper edits without burning iterations on the wrong model. Calls `runcomfy run <vendor>/<model>/edit` through the local RunComfy CLI. Triggers on "image edit", "edit image", "image-to-image", "i2i", "swap background", "remove object", "rewrite headline", or any explicit ask to edit a single or batch of images.

    435k186 tok idle · 3,241 in use
  5. nano-banana-editprime-skills/runcomfy-agent-skills

    Edit images with Google Nano Banana 2 (image-to-image edit endpoint) on RunComfy. Documents Nano Banana Edit's strengths (preserve subject identity, swap background, localize edits with spatial language, multi-image batch edits up to 20 inputs), the schema, and when to route to GPT Image 2 edit / Flux Kontext / Nano Banana 2 t2i instead. Calls `runcomfy run google/nano-banana-2/edit` through the local RunComfy CLI. Triggers on "nano banana edit", "edit with nano banana", "image edit nano banana", or any explicit ask to edit with this model.

    435k136 tok idle · 2,124 in use
  6. flux-kontextprime-skills/runcomfy-agent-skills

    Edit images with Flux 1 Kontext Pro (Black Forest Labs' precise local image-edit model) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Flux Kontext's strengths (single-reference precise local edits, strong prompt control, consistent high-fidelity outputs), the schema (single image + prompt), and when to route to Nano Banana Edit / GPT Image 2 edit / Flux 2 Klein instead. Calls `runcomfy run blackforestlabs/flux-1-kontext/pro/edit` through the local RunComfy CLI. Triggers on "flux kontext", "flux-kontext", "flux 1 kontext", "kontext", "BFL kontext", or any explicit ask to edit with this model.

    435k167 tok idle · 1,805 in use
  7. wan-2-7prime-skills/runcomfy-agent-skills

    Generate text-to-video with Wan 2.7 (Wan-AI's flagship motion model) on RunComfy. Documents Wan 2.7's strengths (multi-reference conditioning, audio-driven lip-sync via `audio_url`, smoother transitions, prompt expansion), the duration / resolution / aspect-ratio schema, and when to route to HappyHorse 1.0 / Seedance 2.0 / Kling / LTX 2 instead. Calls `runcomfy run wan-ai/wan-2-7/text-to-video` through the local RunComfy CLI. Triggers on "wan", "wan 2.7", "wan-2-7", "wan video", or any explicit ask to generate video with this model.

    435k156 tok idle · 2,140 in use
  8. seedance-v2prime-skills/runcomfy-agent-skills

    Generate cinematic short-form video with ByteDance Seedance 2.0 Pro on RunComfy. Documents Seedance 2.0 Pro's strengths (multi-modal references — up to 9 images, 3 videos, 3 audio — synchronized in-pass audio with natural lip-sync, cinematic motion refinement), the 4–15s duration schema, and when to route to HappyHorse 1.0 / Wan 2.7 / Kling instead. Calls `runcomfy run bytedance/seedance-v2/pro` through the local RunComfy CLI. Triggers on "seedance", "seedance 2", "seedance v2", "seedance pro", "bytedance video", or any explicit ask to generate video with this model.

    434k162 tok idle · 2,258 in use