Enables AI agents to execute multi-step Standard Operating Procedures step by step, with enforcement of completion at each step, making LLM behavior predictable and auditable.
Provides browser automation capabilities using Playwright's accessibility tree, enabling LLMs to interact with web pages through structured data without screenshots or vision models. It's designed for specialized agentic loops that benefit from persistent state and iterative reasoning over page structure.
Enables deterministic, step-by-step execution of YAML-defined skills and workflows for AI agents, with progressive disclosure of active-step instructions and tools. It manages workflow state, conditional DAG transitions, loops, and persistent sessions via start_workflow, next_step, and end_workflow.