How do I install the Agent University skill?

Run npx skillmds@latest add dennisonbertram/agent-university in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Agent University safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Agent University?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Agent University free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Agent University?

dennisonbertram (@dennisonbertram) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Agent University by dennisonbertram

Name: Agent University
Rating: 4.5 (4 reviews)
Author: dennisonbertram

Agent University

Connect to and use the Agent University hosted MCP server — evidence-backed knowledge (build guides, gotchas, recipes, code samples) for building with LLM-tooling targets. Use when building with a tool, SDK, or API covered by an Agent University degree, when you need a step-by-step build guide grounded in live-verified evidence, or when debugging a platform-specific error.

File contents

Agent University MCP Server

Agent University is a knowledge corpus built from real, live-verified builds ("degrees") of LLM-tooling targets — SDKs, APIs, CLIs, and cloud services. Every artifact carries an evidence tier and a source citation back to the build that produced it. The corpus is served by a hosted MCP server.

Requirements

An Agent University API key in the AGENT_UNIVERSITY_API_KEY environment variable. The server rejects unauthenticated requests. Keys are issued by the maintainer — request one via an issue on this repo.

Register the server

Claude Code:

claude mcp add --transport http agent-university \
  https://agent-university-api-production.up.railway.app/v1/mcp \
  --header "Authorization: Bearer ${AGENT_UNIVERSITY_API_KEY}"

Any other MCP client (streamable HTTP):

{
  "url": "https://agent-university-api-production.up.railway.app/v1/mcp",
  "headers": { "Authorization": "Bearer <AGENT_UNIVERSITY_API_KEY>" }
}

How to use the tools

Building with a covered target? Call agent_university_how_to_build FIRST. It returns the complete, ordered build guide assembled from how the target was actually built and verified — verbatim source content with citations, not search snippets.

Knowledge tools:

Tool	When to use
`agent_university_how_to_build`	First call for any "how do I build X" task — full ordered guide.
`agent_university_search`	General queries; supports target/degree/artifact/evidence filters.
`agent_university_plan_build`	Planning context: recipes, gotchas, instructions for a target.
`agent_university_get_gotchas`	Before writing code against a target — known traps, live-verified.
`agent_university_get_recipe`	Working recipes for a target or degree.
`agent_university_debug_error`	Hit a platform-specific error or symptom — search known fixes.
`agent_university_get_artifact`	Fetch a full artifact by ID (from search results).
`agent_university_get_code_sample`	Fetch a code sample by ID with source citation.
`agent_university_get_degree_status`	Degree metadata for a target.

Ops tools (agent_university_ops_*: deployment, checks, freshness, probe, metrics, events, runbooks, runbook, error_catalog) report on the hosted API itself — corpus version, health checks, retrieval mode, error-code handling. Use them to verify the server is current before trusting results, or when a call fails: ops_freshness answers "is the corpus live and current?" in one call; ops_error_catalog says whether an error is retryable.

Recommended flow: how_to_build (or search) → get_gotchas before coding → debug_error when something breaks. Prefer artifacts marked with higher evidence tiers (e.g. live_verified) when results conflict.

---name: agent-universitydescription: Connect to and use the Agent University hosted MCP server — evidence-backed knowledge (build guides, gotchas, recipes, code samples) for building with LLM-tooling targets. Use when building with a tool, SDK, or API covered by an Agent University degree, when you need a step-by-step build guide grounded in live-verified evidence, or when debugging a platform-specific error.---# Agent University MCP ServerAgent University is a knowledge corpus built from real, live-verified builds("degrees") of LLM-tooling targets — SDKs, APIs, CLIs, and cloud services.Every artifact carries an evidence tier and a source citation back to the buildthat produced it. The corpus is served by a hosted MCP server.## Requirements- An Agent University API key in the `AGENT_UNIVERSITY_API_KEY` environment variable. The server rejects unauthenticated requests. Keys are issued by the maintainer — request one via an issue on this repo.## Register the serverClaude Code:```bashclaude mcp add --transport http agent-university \ https://agent-university-api-production.up.railway.app/v1/mcp \ --header "Authorization: Bearer ${AGENT_UNIVERSITY_API_KEY}"```Any other MCP client (streamable HTTP):```json{ "url": "https://agent-university-api-production.up.railway.app/v1/mcp", "headers": { "Authorization": "Bearer <AGENT_UNIVERSITY_API_KEY>" }}```## How to use the tools**Building with a covered target? Call `agent_university_how_to_build` FIRST.**It returns the complete, ordered build guide assembled from how the target wasactually built and verified — verbatim source content with citations, notsearch snippets.Knowledge tools:| Tool | When to use ||---|---|| `agent_university_how_to_build` | First call for any "how do I build X" task — full ordered guide. || `agent_university_search` | General queries; supports target/degree/artifact/evidence filters. || `agent_university_plan_build` | Planning context: recipes, gotchas, instructions for a target. || `agent_university_get_gotchas` | Before writing code against a target — known traps, live-verified. || `agent_university_get_recipe` | Working recipes for a target or degree. || `agent_university_debug_error` | Hit a platform-specific error or symptom — search known fixes. || `agent_university_get_artifact` | Fetch a full artifact by ID (from search results). || `agent_university_get_code_sample` | Fetch a code sample by ID with source citation. || `agent_university_get_degree_status` | Degree metadata for a target. |Ops tools (`agent_university_ops_*`: deployment, checks, freshness, probe,metrics, events, runbooks, runbook, error_catalog) report on the hosted APIitself — corpus version, health checks, retrieval mode, error-code handling.Use them to verify the server is current before trusting results, or when acall fails: `ops_freshness` answers "is the corpus live and current?" in onecall; `ops_error_catalog` says whether an error is retryable.Recommended flow: `how_to_build` (or `search`) → `get_gotchas` before coding →`debug_error` when something breaks. Prefer artifacts marked with higherevidence tiers (e.g. `live_verified`) when results conflict.

Frequently asked questions