@geekbb: pi-workflow is a workflow orchestration tool designed for Pi, enabling Pi to execute multi-step, reusable workflows instead of just single-turn conversations. It can be triggered with natural language, no need to write prompts every time. Four workflows ready to use: - deep-research for deep research - dee…

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pi-workflow is a workflow orchestration tool designed for the Pi AI assistant, enabling it to execute multi-step, repeatable workflows, including deep research, code review, specification check, and impact assessment. It defines workflows as JSON stage graphs and supports multiple execution modes.

pi-workflow is a workflow orchestration tool designed for Pi, enabling Pi to execute multi-step, reusable workflows instead of just single-turn conversations. It can be triggered with natural language, no need to write prompts every time. Four workflows ready to use: - deep-research for deep research - deep-review for code review - spec-review for specification check - impact-review for impact assessment. Workflows are defined as JSON stage graphs, supporting six modes: single, foreach, reduce, loop, dag, dynamic. https://github.com/AgwaB/pi-workflow…
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pi-workflow

Workflow orchestration for Pi.

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pi-dynamic-workflows (GitHub Repo)

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pi-dynamic-workflows is a Pi extension that adds a workflow tool allowing the model to write JavaScript scripts to fan out work across subagents, enabling tasks like codebase audits and large refactors.

@vintcessun: LLMs can now write their own work scripts, decomposing tasks into a group of sub-agents that execute in parallel. A single assistant thinks sequentially, and when faced with tasks like codebase audits or large-scale refactoring, it's either slow or prone to mixing up its thoughts. pi-dynamic-workflows lets the model directly generate a JS script, using agent() and parallel() for task orchestration, runs them in a sandbox, and then aggregates the results—with real-time progress display. The essence is transforming "one person working" into "one person writing a scheduling script, while minions execute in parallel."

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Introducing pi-dynamic-workflows, a tool that enables LLMs to dynamically orchestrate multiple sub-agents for parallel task execution by generating JavaScript scripts, suitable for code audits, large-scale refactoring, and similar scenarios.

@Gorden_Sun: Kuse Workflow: AI-generated workflow. Simple operation, powerful. Covers all capabilities of n8n, rich application ecosystem. But much easier to use than n8n, no need to deal with complex node configuration. Describe your needs in natural language, and AI can automatically create stable and reusable workflows. Workflow supports scheduled execution, supports...

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Kuse Workflow is an AI-driven workflow automation tool that is easier to use than n8n. Users only need to describe their needs in natural language to automatically create reusable workflows. It supports scheduled and event-triggered execution.

@Jolyne_AI: Recently, our company has been promoting an AI workflow, and it feels pretty good in practice, so I'm sharing it here. OpenSpec + Superpowers workflow: AI-assisted development complete closed loop from 'writing code' to 'delivery by specification'. Two tools, each with its own role: • OpenSpec manages specs and memory …

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Introducing an AI-assisted development workflow that combines OpenSpec (specification and memory management) with Superpowers (design and execution), using TDD and unified context to solve the two biggest pain points in AI development: lack of memory and lack of discipline.