inngest-agents
Use when building durable AI agents or agentic workflows with Inngest and AgentKit, including model calls, tool calls, multi-agent networks, human approval, realtime progress, provider rate limits, and crash-safe execution. Covers AgentKit, `step.ai`, `step.run`, `step.waitForEvent`, native realtime, and when to use lower-level Inngest primitives instead of an in-memory agent loop.
Install
With your agent
Install OMGSkills skill "inngest/inngest-claude-code-plugin:skills/inngest-agents" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/inngest/inngest-claude-code-plugin /tmp/inngest-claude-code-plugin && ln -s /tmp/inngest-claude-code-plugin/skills/inngest-agents ~/.claude/skills/inngest-agentsFrom README
Inngest Agents Use this skill when the user wants to build, migrate, or debug an AI agent, multi-step AI workflow, tool-calling loop, support agent, research agent, human-in-the-loop review flow, or realtime agent UI. Inngest's AgentKit defines agents with createAgent; when an AgentKit run is owned by an Inngest function, model calls use Inngest step.ai so they retry and cache model results durably. Use the lower-level Inngest step primitives around the agent for database reads/writes, tool side effects, waits, approvals, realtime progress, and flow control.
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