Butterbase Agents

by butterbase-ai

Butterbase Agents is an AI Engineering skill for Claude Code, published by butterbase-ai in butterbase-skills.

532 stars40 forkson butterbase-ai/butterbase-skillsAdded 2026/08/26Repository updated 2026/06/28

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agent-skillsai-agentsbackend-as-a-servicebutterbaseclaudeclaude-codemcpskills

Install in seconds

Install Butterbase Agents

Copy Butterbase Agents into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/butterbase-ai/butterbase-skills/tree/main/skills/agents ~/.claude/skills/agents

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/butterbase-ai/butterbase-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/agents/SKILL.md in butterbase-ai/butterbase-skills
Installs to: ~/.claude/skills/agents
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Butterbase Agents does

Butterbase Agents helps design, deploy, and debug declarative LLM/tool graphs for Butterbase apps. Use it for stateful multi-step workflows, MCP tool registration, access controls, limits, and agent run debugging.

Butterbase Agents is cataloged under AI Engineering on DirSkills. Butterbase Agents comes from a repository tagged agent-skills, ai-agents, backend-as-a-service, butterbase and claude.

Documentation

README

Excerpt

Butterbase Agents

A Butterbase agent is a declarative graph of LLM and tool nodes — not a free-running chat loop. The runtime traverses the graph, calls tools (builtin / MCP / function), and resolves the end node's output_template. State, rate limits, and budgets are enforced by the control plane.

When to use

The user wants to add a workflow that combines an LLM with tool calls (DB writes, storage reads, MCP servers, app functions).
The user wants to expose an agent endpoint to end users (visibility: public or authenticated).
Debugging a failing agent run (look at list_agent_runs, then get_agent_run).
Registering an external MCP server for the agent to use.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Butterbase Agents

What else does butterbase-ai publish alongside Butterbase Agents?
Butterbase Agents is one of 25 skills that DirSkills catalogs from butterbase-ai/butterbase-skills, the repository it ships in. Its siblings there include Auth Setup, Build App and Butterbase AI Gateway. Each one is a separate skill with its own page in this directory, installs the same way Butterbase Agents does, and is maintained by butterbase-ai in that same repository. The rest of the collection is listed on the butterbase-ai/butterbase-skills page.
How does Butterbase Agents compare to other AI Engineering skills?
Butterbase Agents ranks #2078 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Butterbase Agents against them. Open each page to compare what they document and how they install.