windags-architect

What problem does it solve?

WinDAGs Architect provides a comprehensive framework to design, execute, mutate, and visualize directed acyclic graphs (DAGs) of skillful AI agents so teams can coordinate multi-agent workflows reliably, safely, and cost-effectively. It addresses ambiguity in planning by supporting vague-node expansion, progressive revelation, mutation strategies, circuit breakers, and cross-wave context management to prevent deadlocks and cascade failures. The skill codifies execution-mode selection, model routing, failure mitigation, and quality-evaluation gates so complex, multi-domain problems can be decomposed and executed as repeatable, auditable workflows.

Core Features & Use Cases

• Decision frameworks for execution mode selection (local, web, embedded), DAG architecture patterns (sequential, fan-out, iterative refinement), and node commitment levels (committed, tentative, exploratory).
• Runtime mutation and rescue strategies: circuit breaker configuration, automatic replace/add/split mutations, mutation depth limits, and escalation ladders for human intervention.
• Model and provider routing guidance (tier-based, cascading, adaptive, RouteLLM patterns), cost-tracking, and integration patterns for durable execution (Temporal), live visualization (ReactFlow + ELKjs), and mixed-provider LLM abstraction.
• Worked examples: code-review DAGs, vague-node resolution for architectural decisions, and mutation-based recovery for data parsing failures. Real-world use: design, run, and iterate multi-agent pipelines for product engineering, research synthesis, and deployment workflows.

Quick Start

Ask windags-architect to design a dynamic DAG for "Build a portfolio website", recommend execution mode, assign node commitment levels, and produce a wave-by-wave execution plan.