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agent-workflow-designerlisted

Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
sinhoneyy/master-skills · ★ 4 · AI & Automation · score 67
Install: claude install-skill sinhoneyy/master-skills
# Agent Workflow Designer **Tier:** POWERFUL **Category:** Engineering **Domain:** Multi-Agent Systems / AI Orchestration --- ## Overview Design production-grade multi-agent workflows with clear pattern choice, handoff contracts, failure handling, and cost/context controls. ## Core Capabilities - Workflow pattern selection for multi-step agent systems - Skeleton config generation for fast workflow bootstrapping - Context and cost discipline across long-running flows - Error recovery and retry strategy scaffolding - Documentation pointers for operational pattern tradeoffs --- ## When to Use - A single prompt is insufficient for task complexity - You need specialist agents with explicit boundaries - You want deterministic workflow structure before implementation - You need validation loops for quality or safety gates --- ## Quick Start ```bash # Generate a sequential workflow skeleton python3 scripts/workflow_scaffolder.py sequential --name content-pipeline # Generate an orchestrator workflow and save it python3 scripts/workflow_scaffolder.py orchestrator --name incident-triage --output workflows/incident-triage.json ``` --- ## Pattern Map - `sequential`: strict step-by-step dependency chain - `parallel`: fan-out/fan-in for independent subtasks - `router`: dispatch by intent/type with fallback - `orchestrator`: planner coordinates specialists with dependencies - `evaluator`: generator + quality gate loop Detailed templates: `references/workflow-patterns.md`