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.