skills
vargHQ's `skills` repository offers a range of powerful AI agent skills, specifically designed for video, image, speech, and music generation. It integrates cutting-edge AI models like Kling, Flux, ElevenLabs, and Sora, enabling users to easily create multimedia content with simple prompts, without needing to write code. This skill set is compatible with mainstream AI coding assistants such as Claude Code and Cursor, significantly simplifying the AI creation process and enhancing efficiency.
npx skills add vargHQ/skillsBefore / After Comparison
1 组Before using varg skills, developers or creators had to individually learn and integrate multiple AI models like Kling, ElevenLabs, etc. This involved complex API calls and coding, leading to fragmented, time-consuming, and high-barrier workflows.
Now, with varg skills, a single, unified AI agent skill allows access to all integrated models through simple prompts. No coding is required, greatly simplifying the multimedia content generation process and significantly boosting creative efficiency and accessibility.
description SKILL.md
varg — AI Agent Skills for Video, Image, Speech & Music Generation
A collection of Agent Skills for AI video, image, speech, and music generation using the varg platform. One skill to access Kling, Flux, ElevenLabs, Sora, and more — zero code, just prompt.
Works with Claude Code, Cursor, Windsurf, OpenCode, ClawHub, and any tool that supports the Agent Skills standard.
Installation
ClawHub (recommended)
# Install a specific skill
npx clawhub@latest install vargai
# Or install all skills from this repo
npx clawhub@latest install vargai
Claude Code
# Clone into personal skills directory (available in all projects)
git clone https://github.com/vargHQ/skills.git ~/.claude/skills/varg
# Or symlink individual skills
ln -s /path/to/skills/varg-ai ~/.claude/skills/varg-ai
OpenCode
# Clone into any supported skills directory
git clone https://github.com/vargHQ/skills.git ~/.opencode/skills/varg
# Also works with:
# ~/.agents/skills/
# .opencode/skills/ (project-level)
Agent Skills CLI
npx skills add vargHQ/skills --yes
Available Skills
| Skill | Description | ClawHub Slug |
|---|---|---|
| varg-ai | AI video, image, speech, and music generation | vargai |
Requirements
VARG_API_KEY(get at varg.ai) -- required for all skills- Cloud mode: curl only (zero dependencies)
- Local mode: bun runtime + ffmpeg
Skill Structure
Each skill follows the Agent Skills specification:
skill-name/
├── SKILL.md # Core instructions (required)
├── references/ # On-demand reference docs
│ ├── models.md # Model catalog, pricing
│ ├── components.md # Component reference
│ └── ...
├── scripts/ # Executable setup/helper scripts
│ └── setup.sh
└── assets/ # Static resources (optional)
Adding a New Skill
- Create a directory at the repo root with your skill name (lowercase, hyphens only):
mkdir my-new-skill
- Create
my-new-skill/SKILL.mdwith cross-compatible frontmatter:
---
name: my-new-skill
description: >-
What this skill does and when to use it.
Include trigger keywords for auto-discovery.
license: MIT
metadata:
author: vargHQ
version: "1.0.0"
openclaw:
requires:
env:
- VARG_API_KEY
anyBins:
- curl
- bun
primaryEnv: VARG_API_KEY
homepage: https://varg.ai
compatibility: >-
Describe environment requirements here.
allowed-tools: Bash(bun:*) Bash(curl:*) Read Write Edit
---
Your skill instructions here...
-
Add reference docs in
my-new-skill/references/(keepSKILL.mdunder 500 lines). -
Push to
main-- the GitHub Actions workflow auto-publishes all changed skills to ClawHub viaclawhub sync.
Frontmatter Field Reference
| Field | Standard | Purpose |
|---|---|---|
name | Agent Skills | Skill identifier (must match directory name) |
description | Agent Skills | What + when (used for discovery in all tools) |
license | Agent Skills | License (MIT for ClawHub) |
metadata.author | Agent Skills | Author identifier |
metadata.version | Agent Skills | Semver version string |
metadata.openclaw | ClawHub | Runtime requirements, env vars, binaries |
compatibility | Agent Skills | Human-readable requirements description |
allowed-tools | Claude Code / OpenCode | Pre-approved tools (experimental in OpenCode) |
All fields are cross-compatible -- tools ignore fields they don't recognize.
Quick Start
# 1. Install the skill
npx clawhub@latest install vargai
# 2. Set your API key
export VARG_API_KEY=varg_xxx
# 3. Run setup to verify environment
bash varg-ai/scripts/setup.sh
# 4. Render your first video
bunx vargai render hello.tsx --preview # Free preview
bunx vargai render hello.tsx --verbose # Full render
Documentation
- vargHQ/sdk -- Full SDK documentation
- vargHQ/templates -- Video template examples
- Agent Skills Spec -- Agent Skills format
- ClawHub -- Skill registry
License
MIT
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