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pi-prompt-template-model

Execute prompt templates via slash commands with per-command model and thinking-level control.

Updated May 4, 2026
Search Tags:#workflow orchestration#slash commands#model routing#prompt templates#deterministic execution#thinking level
One-click install
npx skills add https://github.com/panamini/pi-tooling --skill pi-prompt-template-model
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pi-prompt-template-model
Source: https://github.com/panamini/pi-tooling/tree/main/skills/pi-prompt-template-model
Command: npx skills add https://github.com/panamini/pi-tooling --skill pi-prompt-template-model

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reduces friction when you need different prompt templates to run with specific model and thinking-level settings, so your slash-command workflows behave consistently.

Core Features & Use Cases

  • Model and thinking-level switching per command: Ensures the right execution style is used for each prompt-template-driven task.
  • Deterministic, handoff-friendly orchestration: Keeps multi-step workflows predictable when you need hands-off handoffs between stages.
  • Template-driven slash command registration: Turns installed prompt templates into discoverable commands for repeatable operations.

Quick Start

Ask the AI to run your configured prompt template command while allowing the skill to apply its model and think-level settings for that command.

Frequently Asked Questions about pi-prompt-template-model

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

FAQPage Schema
How do I run prompt templates with specific model and thinking level settings?▼

You can execute prompt templates with model-aware control by registering them as slash commands, which allows each command to automatically apply specific model and thinking level configurations for consistent workflow execution.

What is the best way to maintain deterministic handoff workflows across multi-step prompt tasks?▼

Deterministic handoff workflows are maintained by using template-driven slash command registration, ensuring multi-step prompt orchestration remains predictable and consistent during hands-off stage transitions.

How do slash commands select the appropriate model for prompt template execution?▼

Slash commands select the appropriate model through per-command switching logic that applies model and think-level control, ensuring the right execution style is used for each specialized planning, review, or debug task.

Can I use prompt templates for specialized planning and debug orchestration?▼

Yes, prompt templates can be used for specialized planning, review, and debug orchestration by turning installed templates into discoverable slash commands that enforce specific execution styles for repeatable operations.

Do I need to manually configure model routing for each slash command workflow?▼

No, you do not need to manually configure model routing each time; the skill applies its model and think-level settings automatically when you ask the AI to run your configured prompt template command.

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