piflow-start

Execute and monitor Pi Flow workflows via SDK CLI with Claude Code.

103|1|Updated Jun 9, 2026
One-click install
npx skills add https://github.com/blueif16/PiFlow --skill piflow-start
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: piflow-start
Source: https://github.com/blueif16/PiFlow/tree/main/.claude/skills/piflow-start
Command: npx skills add https://github.com/blueif16/PiFlow --skill piflow-start

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @piflow/core, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a streamlined method for running and monitoring Pi Flow workflows directly through the SDK CLI with Claude Code, facilitating automated and efficient workflow management.

Core Features & Use Cases

  • Workflow Execution: Run and monitor any pre-created Pi Flow workflow on the Pi fleet with a single CLI command.
  • Dry Run and Live Execution: Execute workflows in a free dry run mode for template validation or directly in the background for live execution.
  • Monitoring and Diagnostics: Continuously monitor the status and health of workflows using integrated tools and logging.
  • Scope Windowing: Filter the execution to a specific part of the workflow using the --from and --until options.
  • Profilied Execution: Run predefined profiles in workflows for optimized performance or dev versions without gate verification.

Quick Start

Execute the 'game-omni' workflow in production mode using Claude Code by typing:

run piflow-start game-omni --profile production

Frequently Asked Questions about piflow-start

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

FAQPage Schema
How do I execute Pi Flow workflows via SDK CLI?

Run Pi Flow workflows via SDK CLI by issuing a single command like `run piflow-start game-omni --profile production` to deploy and execute workflows on a Pi fleet directly with Claude Code.

Can I do a dry run for Pi Flow workflow template validation?

Yes, you can execute workflows in a free dry run mode to validate Pi Flow workflow templates before deploying them for live execution on the Pi fleet.

Do I need @piflow/core SDK to manage agentic workflows on a Pi fleet?

Yes, the @piflow/core SDK is a required dependency for running and monitoring Pi Flow workflows, providing the essential framework to manage agentic workflows on a Pi fleet.

How do I monitor workflow health and filter execution scope?

Monitor workflow health using integrated logging tools, and filter execution scope to specific workflow parts using the `--from` and `--until` windowing options during SDK CLI deployment.

What is the best way to run predefined execution profiles for Pi Flow?

Run predefined profiles in Pi Flow workflows using the `--profile` option, enabling optimized production performance or dev versions without requiring gate verification.

What are the limitations of running dev profiles in Pi Flow workflows?

Running dev profiles in Pi Flow workflows bypasses gate verification to facilitate testing, which means workflows execute without the validation checks enforced in production profiles.