No dependencies. No API keys. No environment setup.
One command, ready to go.
Most AI tools out there need missing dependencies, API keys, or complex configs just to get started.
Skilless is a trusted, curated skill library built for regular people — zero hassle, just works.
github.com/brikerman/skilless.ai~/.agents/skills/ with all dependencies: yt-dlp fastmcpskilless.ai executable, ready to use immediatelyRe-run to upgrade · Zero system pollution · No sudo required
A complete CLI toolkit that gives your AI Agent direct access to real-world data
Deep semantic search powered by Exa, optimized for AI use cases. Supports multi-source cross-validation and fact-checking.
Extracts any webpage into clean Markdown via Jina Reader, ready for LLM context input.
Powered by yt-dlp, supports video download and subtitle extraction from YouTube, Bilibili, and 1700+ sites.
Convert and compress video/audio files via FFmpeg. Supports all formats: mp4, mkv, mp3, aac, wav, and more.
Use tools individually, or let skills orchestrate them into complete workflows
Transform vague ideas into actionable plans through natural dialogue. Proposes 2-3 approaches with trade-offs, and acts only after your approval.
Leverages all four tools for multi-source, cross-validated deep investigation. Turns your AI from a static text generator into an active internet researcher.
Produces articles, emails, docs, and reports backed by real research data. Ensures every claim is verifiable, well-structured, and tone-matched.
Three steps to up and running — no prior experience needed
OpenCode is a free, open-source AI agent that runs in your terminal. It reads your installed skill files and can execute real-world tasks on your behalf — web search, video subtitles, media conversion, and more.
Download from opencode.ai →Copy the prompt below and paste it into OpenCode. The AI will detect your OS, run the install command, and confirm when done — no terminal knowledge needed.
# Install skilless.ai
Run this command in the user's terminal to install skilless.ai:
```bash
curl -LsSf https://skilless.ai/install | bash
```
For Windows (PowerShell):
```powershell
irm https://skilless.ai/install.ps1 | iex
```
This will:
1. Download the latest release from GitHub (github.com/brikerman/skilless.ai)
2. Install uv (ultra-fast Python package manager) if not present
3. Create an isolated virtual environment at ~/.agents/skills/skilless/
4. Install all dependencies (yt-dlp, fastmcp, jina reader, feedparser)
5. Generate the skilless CLI executable
To upgrade, re-run the install command. No sudo required.Open your terminal, type opencode to launch the agent, and start chatting. Your agent now has real-world data superpowers through skilless.ai.
One command, fully isolated environment. No Node.js, Homebrew, or global Python required.
Fully open-source and auditable. All credentials and data stored locally. Nothing uploaded to external servers.
MIT licensed. Uses only free and open-source tools. No hidden costs, no subscriptions.
Skilless is a curated AI skill library. Most AI tools require missing dependencies, API keys, or complex setup just to get started. Skilless is built for regular people — one command to install, zero configuration, covering 90% of daily needs including search, web reading, video download & subtitles, and media conversion & compression.
No. You don't need to manually install anything or configure API keys. The install script automatically downloads uv (an ultra-fast Python package manager) and sets up a completely isolated virtual environment with all dependencies (yt-dlp, fastmcp, jina reader, etc.) — your system stays clean.
macOS, Windows, and Linux. Mac/Linux uses a curl command, Windows uses a native PowerShell script — no Git Bash or WSL required.
After installation, Skilless exposes four CLI commands: search, web, ytd, and media. Any tool that reads SKILL.md files from ~/.agents/skills/ will work. We recommend **OpenCode** — open source and free, works great with Skilless out of the box. Also works with OpenClaw, Kilo Code, Cursor, and Claude Code.
Check the Troubleshooting Guide on GitHub for solutions to common problems, or open an issue and we'll help you out. Troubleshooting Guide
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