Bridge TAO orchestration to pi-mono for multi-provider LLM execution.
npx skills add https://github.com/CleanExpo/Pi-Dev-Ops --skill pi-integration
Please help me install this Agent Skill. Skill: pi-integration Source: https://github.com/CleanExpo/Pi-Dev-Ops/tree/main/skills/pi-integration Command: npx skills add https://github.com/CleanExpo/Pi-Dev-Ops --skill pi-integration
The skill bridges the TAO agent workflow into the pi-mono runtime so you can run multi-provider setups without switching orchestration logic between providers.
Use the pi-integration skill to bridge your TAO orchestration into pi-mono for a multi-provider environment.
High-intent search queries and answers about installing and using this skill.
Multi-provider LLM execution lets you route agent workflows to Anthropic, OpenAI, or Ollama under a single unified API. It eliminates the need to rewrite orchestration logic when switching between different language model providers.
Yes, when using Claude Max plans within this multi-provider setup, you must delegate execution to claude-max-runtime. This ensures correct handling of Anthropic configurations inside the pi-mono unified LLM API.
Yes, you can use Ollama models alongside OpenAI and Anthropic in the same TAO agent workflow. Bridging TAO to pi-mono provides a unified runtime interface that supports these multi-provider configurations simultaneously.
TAO orchestration logic typically breaks when switching LLM providers because each has distinct API requirements. Bridging TAO into the pi-mono runtime solves this by providing a unified LLM API that standardizes session handling across providers.
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