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, crash-safe execution, and Agent Evals handoff. 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. Use inngest-agent-evals with this skill when the user wants scoring, sessions, experiments, deferred scorers, or outcome-based evaluation for the agent.
How to install inngest-agents?
inngest/inngest-skills/inngest-agents
$npx -y skills add inngest/inngest-skills --skill inngest-agentsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/inngest/inngest-skills" --skill "inngest/inngest-skills/inngest-agents"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/inngest/inngest-skills" that are relevant to the current task. Run `npx skills add "https://github.com/inngest/inngest-skills"` and select the relevant skills, then follow their instructions.
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