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temporal-expert

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Actualizado26 de junio de 2026 a las 04:38

Use when adding scheduled, recurring, or AI workflow behavior to a Cogni node; deciding graph vs route vs own Temporal worker; working with /api/v1/schedules, GraphRunWorkflow, NodeTaskWorkflow, defineScheduledJob, or the shared scheduler-worker substrate.

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Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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Fuente

cogni-dao

cogni-dao/node-template

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SKILL.md

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name	temporal-expert
description	Use when adding scheduled, recurring, or AI workflow behavior to a Cogni node; deciding graph vs route vs own Temporal worker; working with /api/v1/schedules, GraphRunWorkflow, NodeTaskWorkflow, defineScheduledJob, or the shared scheduler-worker substrate.

Temporal Expert

Read docs/guides/node-temporal.md first. It is the node-author guide.

Default stance:

Scheduled AI work is a graph run via GraphRunWorkflow.
Plain recurring work is a route, preferably declared with defineScheduledJob, via NodeTaskWorkflow.
Normal nodes do not add Temporal workflow code and do not run their own worker.
Per-node workers are a rare escape hatch for custom durable orchestration that the shared generic substrate cannot express.

When changing substrate design, also read:

docs/spec/substrate-temporal.md
docs/spec/temporal-patterns.md
docs/spec/langgraph-patterns.md

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name	temporal-expert
description	Use when adding scheduled, recurring, or AI workflow behavior to a Cogni node; deciding graph vs route vs own Temporal worker; working with /api/v1/schedules, GraphRunWorkflow, NodeTaskWorkflow, defineScheduledJob, or the shared scheduler-worker substrate.

Temporal Expert

Read docs/guides/node-temporal.md first. It is the node-author guide.

Default stance:

Scheduled AI work is a graph run via GraphRunWorkflow.
Plain recurring work is a route, preferably declared with defineScheduledJob, via NodeTaskWorkflow.
Normal nodes do not add Temporal workflow code and do not run their own worker.
Per-node workers are a rare escape hatch for custom durable orchestration that the shared generic substrate cannot express.

When changing substrate design, also read:

docs/spec/substrate-temporal.md
docs/spec/temporal-patterns.md
docs/spec/langgraph-patterns.md