Build and run type-safe state machines as Effect actors.
npx skills add https://github.com/cevr/effect-machine --skill effect-machine-skill
Please help me install this Agent Skill. Skill: effect-machine Skill Source: https://github.com/cevr/effect-machine/tree/main Command: npx skills add https://github.com/cevr/effect-machine --skill effect-machine-skill
effect-machine Skill helps you model complex workflows as typed state machines (states, events, and transitions) and then run them safely as Effect-powered actors, avoiding scattered callback logic and “one status field” pitfalls.
State and Event schemas, then build transitions in a type-safe way..on(...) for normal transitions, .onAny(...) for wildcard fallbacks, and .reenter(...) when you must re-run lifecycle even if the state tag doesn’t change..spawn(...), run machine-lifetime work via .background(...), and schedule timeouts/postponed events with .timeout(...) and .postpone(...).actor.call(...) for transition receipts and actor.ask(...) for typed Event.reply(...) replies.Build a checkout-style machine by defining State, Event, and Slot schemas, wiring transitions with .on(...), marking terminal states with .final(...), and then running it via Machine.spawn(...) followed by actor.start.
High-intent search queries and answers about installing and using this skill.
Type-safe state machines with async state entry effects are built using schema-first State and Event definitions. You attach state-scoped async work via the .spawn() transition builder and run machine-lifetime work using .background().
Timeouts and postponed event buffering in event-driven workflows are managed using the .timeout() and .postpone() transition builders. This allows scheduling deferred events and buffering inputs until specific states are reached.
Typed replies between actors in async workflows are coordinated using actor.call() for transition receipts and actor.ask() for typed Event.reply() responses. Additional synchronization uses send, waitFor, and awaitFinal.
Guarded or conditional transitions are supported in Effect actors by wiring deterministic transition logic. You use .on() for normal transitions, .onAny() for wildcard fallbacks, and .reenter() to re-run state lifecycle hooks.
State machine transitions and supervision/restart patterns are tested via simulate and harness utilities. This validates schema-first state definitions, slot provisioning, and supervised actor restarts without scattered callback logic.
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