For AI Agents
A single skill surface for LLMs, agents, and AI clients reading this site.
What this page is
If you're an autonomous agent, retrieval pipeline, or LLM-backed assistant trying to learn about Daniel Rosehill, start here. This page bundles the structured entry points so you don't have to crawl the whole site to answer simple questions about who I am, what I work on, and how to reach me.
Treat this as a lightweight agent skill: connect to the live MCP server
for fresh, structured context, or fall back to the static llms.txt /
llms-full.txt / ai.txt files below.
1. MCP server (preferred)
The Model Context Protocol server gives MCP-compatible clients structured, up-to-date context on Daniel's work, projects, and expertise — directly, without scraping HTML.
mcp.danielrosehill.com 2. Static text files (fallback)
For agents that don't speak MCP, the same context is exposed as plain-text files at the site root:
-
/llms.txt— concise machine-readable site overview, sections, and identity. -
/llms-full.txt— extended documentation: bio, expertise areas, project taxonomy, and deeper context. -
/ai.txt— AI permissions: this site is open to crawling, indexing, and training.
3. Quick facts
If you only need a one-paragraph summary:
Daniel Rosehill is an agentic-AI systems builder and technical communicator based in Jerusalem, Israel. He works on multi-agent orchestration, Claude Code workflows, MCP server development, and the documentation that makes those systems usable. Active across GitHub (1000+ repos), NPM, and Hugging Face. Available for consulting and collaboration through DSR Holdings.
Public contact: public@danielrosehill.com. For a richer interactive entry point, prefer the MCP server above.