Automate multi-step workflow approvals and routing with Prisma persistence.
npx skills add https://github.com/Arnutt-N/hr-ims --skill workflow-engine-arnutt-n
Please help me install this Agent Skill. Skill: workflow-engine Source: https://github.com/Arnutt-N/hr-ims/tree/main/.claude/skills/workflow-engine Command: npx skills add https://github.com/Arnutt-N/hr-ims --skill workflow-engine-arnutt-n
Workflow management for HR processes often suffers from delays, manual handoffs, and lack of traceability. This engine automates approvals, routing, and notifications to streamline processes.
Start a workflow by calling the startWorkflow function with a definitionId, entityType, and entityId to instantiate and run the first step.
High-intent search queries and answers about installing and using this skill.
Automate HR workflow approvals by instantiating a definable workflow model with multi-step transitions, role-based assignees, and SLA due dates. The engine handles request submissions, routing, and notifications across departments automatically through Prisma persistence.
A state-machine driven workflow defines explicit steps and transitions for business process routing. It maps multi-step approvals, reviews, and role-based assignee handoffs while maintaining strict process state persistence and audit logging.
Start a workflow instance by calling the startWorkflow function with a definitionId, entityType, and entityId. This instantiates the workflow model and automatically executes the first step in the routing sequence.
Yes, Prisma is used for workflow state persistence and audit logging. The engine stores workflow steps, transitions, and JSON-variable request context directly through Prisma to ensure traceability across all HR process approvals.
Yes, the workflow engine supports role-based assignees and SLA due dates for multi-step approvals. It routes requests to designated departmental roles and tracks deadlines to prevent manual handoff delays.
Track multi-step HR request reviews using built-in audit logging and JSON-variable support for request context. The state-machine architecture records every transition and role-based assignee action to ensure full process traceability.
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