BytesAgain is a curated directory of 60,000+ AI agent skills from ClawHub, GitHub, LobeHub, and Dify. Search skills by keyword in 7 languages, browse by role (developer, creator, trader, marketer) or by use case.

How do I find AI skills on BytesAgain?

Use the search bar on BytesAgain.com to search by keyword in 7 languages. You can also browse by role (developer, creator, trader, marketer) or by use case. Each skill shows install instructions for Claude, Cursor, OpenClaw, Continue, and more.

Yes, BytesAgain is completely free. No registration required for searching skills. The MCP API is also free with rate limits.

Does BytesAgain have an API for AI agents?

Yes! BytesAgain provides a free MCP SSE endpoint at /api/mcp/sse for AI agents, plus a REST API at /api/mcp?action=search&q= . No authentication needed.

Can I request a new AI skill on BytesAgain?

Yes! Visit the Requests page on BytesAgain.com to submit a skill request. Your request will be visible to the community and notified to the site admin.

🦀 ClawHub

Vlmrun Cli Skill

by @spillai

Use the VLM Run CLI (`vlmrun`) to interact with Orion visual AI agent. Process images, videos, and documents with natural language. Triggers: image understanding/generation, object detection, OCR, video summarization, document extraction, image generation, visual AI chat, 'generate an image/video', 'analyze this image/video', 'extract text from', 'summarize this video', 'process this PDF'.

Versionv0.1.1

Downloads1,536

Installs2

Stars⭐ 2

#clawhub

View on ClawHub →

TERMINAL

clawhub install vlmrun-cli-skill

📖 About This Skill

name: vlmrun-cli-skill description: "Use the VLM Run CLI (vlmrun) to interact with Orion visual AI agent. Process images, videos, and documents with natural language. Triggers: image understanding/generation, object detection, OCR, video summarization, document extraction, image generation, visual AI chat, 'generate an image/video', 'analyze this image/video', 'extract text from', 'summarize this video', 'process this PDF'."

VLM Run CLI

Chat with VLM Run's Orion visual AI agent via CLI.

Setup

uv venv && source .venv/bin/activate
uv pip install "vlmrun[cli]"

Environment Variables

You must load the following variables in your environment so that the CLI can use them. You may load the ./env file to your environment.

| Variable | Type | Description | |----------|------|-------------| | VLMRUN_API_KEY | Required | Your VLM Run API key (required) | | VLMRUN_BASE_URL | Optional | Base URL (default: https://agent.vlm.run/v1) | | VLMRUN_CACHE_DIR | Optional | Cache directory (default: ~/.vlmrun/cache/artifacts/) |

Command

vlmrun chat "" -i input.jpg [options]

Options

| Flag | Description | |------|-------------| | -p, --prompt | Prompt text, file path, or stdin | | -i, --input | Input file(s) - images, videos, docs (repeatable) | | -o, --output | Artifact directory (default: ~/.vlmrun/cache/artifacts/) | | -m, --model | vlmrun-orion-1:fast, vlmrun-orion-1:auto (default), vlmrun-orion-1:pro | | -s, --session | Optional session ID to continue a previous session | | -j, --json | Raw JSON output | | -ns, --no-stream | Disable streaming | | -nd, --no-download | Skip artifact download |

Examples

Images

vlmrun chat "Describe what you see in this image in detail" -i photo.jpg
vlmrun chat "Detect and list all objects visible in this scene" -i scene.jpg
vlmrun chat "Extract all text and numbers from this document image" -i document.png
vlmrun chat "Compare these two images and describe the differences" -i before.jpg -i after.jpg

Image Generation

vlmrun chat "Generate a photorealistic image of a cozy cabin in a snowy forest at sunset" -o ./generated
vlmrun chat "Remove the background from this product image and make it transparent" -i product.jpg -o ./output

Video

vlmrun chat "Summarize the key points discussed in this meeting video" -i meeting.mp4
vlmrun chat "Find the top 3 highlight moments and create short clips from them" -i sports.mp4
vlmrun chat "Transcribe this lecture with timestamps for each section" -i lecture.mp4 --json

Video Generation

vlmrun chat "Generate a 5-second video of ocean waves crashing on a rocky beach at golden hour" -o ./videos
vlmrun chat "Create a smooth slow-motion video from this image" -i ocean.jpg -o ./output

Documents

vlmrun chat "Extract the vendor name, line items, and total amount" -i invoice.pdf --json
vlmrun chat "Summarize the key terms and obligations in this contract" -i contract.pdf

Prompt Sources

# Direct prompt
vlmrun chat "What objects and people are visible in this image?" -i photo.jpg
Prompt from file
vlmrun chat -p long_prompt.txt -i photo.jpg
Prompt from stdin
echo "Describe this image in detail" | vlmrun chat - -i photo.jpg

Continuing a previous session

If you want to keep the past conversation and generated artifacts in context, you can use the -s flag to continue a previous session using the session ID generated when you started the session.

# Start a new session of an image generation task where a new character is generated
vlmrun chat "Create an iconic scene of a ninja in a forest, practicing his skills with a katana?" -i photo.jpg
Use the previous chat session in context to retain the same character and scene context (where the session ID is )
vlmrun chat "Create a new scene with the same character meditating under a tree" -i photo.jpg -s

Skipping artifact download

If you want to skip the artifact download, you can use the -nd flag.

vlmrun chat "What objects and people are visible in this image?" -i photo.jpg -nd

Notes

Use -o ./ to save generated artifacts (images, videos) relative to your current working directory

Without -o, artifacts save to ~/.vlmrun/cache/artifacts//

Multiple input files upload concurrently

💡 Examples