flowagent

Automate AI agent creation and execution on the Itential Platform.

13|12|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/itential/builder-skills --skill flowagent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: flowagent
Source: https://github.com/itential/builder-skills/tree/main/.claude/skills/flowagent
Command: npx skills add https://github.com/itential/builder-skills --skill flowagent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

FlowAI provides a structured framework to create, configure, and execute AI agents on the Itential Platform, enabling automated orchestration across adapters, workflows, and IAG services.

Core Features & Use Cases

  • Agent construction: define system and user prompts, select LLM provider, and specify capabilities (tools, projects, workflows, and sub-agents).
  • Tool discovery and management: automatically discover platform tools and curate a safe, limited toolset for agents to use.
  • Mission execution and observability: run missions, track objectives, token usage, tool calls, and outcomes, with built-in debugging support.
  • Decorators for customization: apply team-specific overrides to tool schemas without altering the underlying tools.
  • Workflow integration: trigger saved agents from workflows or run ad-hoc agents for quick checks.

Quick Start

Create and run a FlowAI agent with a simple objective to check device health and report results.

Frequently Asked Questions about flowagent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create and execute AI agents for workflow orchestration?

You create AI agents by defining system and user prompts, selecting an LLM provider, and specifying tools. Workflow orchestration executes these agents by running missions that track objectives, token usage, and tool calls across adapters and IAG services.

What is AI agent tool discovery and how does it manage safe operations?

Tool discovery automatically identifies available platform tools. To ensure safe operations, you curate a limited toolset and apply guardrails, restricting agent capabilities to authorized workflows and preventing unauthorized actions.

Do I need to configure LLM providers before building AI agents?

Yes, you must configure LLM providers before building AI agents. Proper provider configuration is required to define system prompts, specify capabilities, and ensure agents can execute missions and track objectives accurately.

Can I trigger AI agents from existing automation workflows?

Yes, you can trigger saved AI agents from existing workflows. This workflow integration allows you to run pre-configured agents for automated tasks or execute ad-hoc agents for quick checks and immediate results.

How do I customize tool schemas for AI agents without altering the underlying tools?

You customize tool schemas using decorators. Decorators apply team-specific overrides to the tool schemas without altering the underlying tools, allowing you to adapt agent capabilities while maintaining the original tool integrity.

What observability features exist for tracking AI agent missions?

Observability features allow you to track AI agent missions by monitoring objectives, token usage, and tool call outcomes. Built-in debugging support helps identify issues and ensures safe, auditable agent operations.