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.

📋 Use Case Guide

Legal Assistant

Legal professionals often struggle to rapidly interpret complex statutes, extract precise clauses from scanned case documents or legacy PDFs, and generate concise, citation-accurate summaries for briefs or client memos. The AI Legal Document Assistant leverages statute for authoritative statutory interpretation and citation, docstrange to reliably extract text and structure from low-quality legal scans, and chain-of-density to distill dense statutory language or case excerpts into actionable, jurisdiction-aware summaries—enabling faster, more accurate legal drafting and research.

Browse matching skills →View stack Read article

What this workflow covers

This page groups multiple AI agent skills into one practical workflow. Use it when you care about the outcome, not just a single tool name. Start with the recommended stack below, then open the related articles for examples and implementation ideas.

Suggested workflow

1Clarify the task and success criteria for Legal Assistant.
2Pick 3–5 complementary skills instead of relying on one generic tool.
3Run the workflow, review output quality, and replace weak skills with better matches.