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Found 21 Skills
Migrates Temporal, Inngest, Trigger.dev, and AWS Step Functions workflows to the Workflow SDK. Use when porting Activities, Workers, Signals, step.run(), step.waitForEvent(), Trigger.dev tasks / wait.forToken / triggerAndWait, ASL JSON state machines, Task/Choice/Wait/Parallel states, task tokens, or child workflows.
Add, enrich, and manage contacts in Joel's Vault. Fire the Inngest enrichment pipeline for full multi-source dossiers, or create quick contacts manually. Use when: 'add a contact', 'enrich this person', 'who is X', 'VIP contact', 'update contact', or any task involving the Vault/Contacts directory.
Create and configure Inngest durable functions. Covers triggers (events, cron, invoke), step execution and memoization, idempotency, cancellation, error handling, retries, logging, and observability.
Create and use Inngest middleware for cross-cutting concerns. Covers the middleware lifecycle, creating custom middleware, dependency injection, and built-in middleware for encryption and error tracking.
Use Inngest step methods to build durable workflows. Covers step.run, step.sleep, step.waitForEvent, step.waitForSignal, step.sendEvent, step.invoke, step.ai, and patterns for loops and parallel execution.
Configure Inngest flow control for functions. Covers concurrency limits with keys, throttling, rate limiting, debounce, priority, singleton, and event batching.
Design and send Inngest events. Covers event schema and payload format, naming conventions, IDs for idempotency, the ts param, fan-out patterns, and system events like inngest/function.failed.
Set up Inngest in a TypeScript project. Install the SDK, create a client, configure environment variables, serve endpoints or connect as a worker, and run the local dev server.
Set up self-hosted Inngest on macOS as a durable background task manager for AI agents. Interactive Q&A to match intent — from Docker one-liner to full k8s deployment with persistent state. Use when: 'set up inngest', 'background tasks', 'durable workflows', 'self-host inngest', 'event-driven functions', 'cron jobs', or any request for a local workflow engine.
Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when: inngest, serverless background job, event-driven wor...
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.
Use when analyzing an existing TypeScript or JavaScript codebase to decide where and how to introduce Inngest. Covers repository discovery, framework and package detection, finding durability gaps in HTTP handlers, webhooks, cron jobs, queues, long-running jobs, AI agents, Agent Evals, polling loops, eval loops, and side-effect-heavy code, then producing and implementing an incremental integration plan.