Agent skill · product strategy · borghei
agent-workflow-designer
Design multi-agent orchestration with workflow DAGs, routing, handoff protocols, and state management. Use when building pipelines of specialized agents, designing fan-out/fan-in patterns, or implementing fault-tolerant workflows.
Why this skill is useful
Adds executable workflows for multi-agent orchestration that enhance the AI's ability to design complex agent interactions and fault-tolerant systems.
What it needs
About 5k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Agent Workflow Designer The agent designs multi-agent orchestration systems using five core patterns: sequential pipeline, parallel fan-out/fan-in, hierarchical delegation, event-driven reactor, and consensus validation. It implements agent routing strategies, circuit breaker reliability patterns, context window budgeting, and cost optimization across LangGraph, CrewAI, AutoGen, and Claude Code agent teams. Core Capabilities Pattern selection & design — sequential pipelines, parallel fan-out/fan-in, hierarchical delegation, event-driven reactors, consensus validation Agent routing — intent-based, skill-based, cost-aware, load-balanced, and fallback-chain routing State & context management — persistent workflow state, context budgeting, checkpoint/resume, conflict resolution Reliability engineering — circuit breakers, retry with backoff, dead letter queues, timeout enforcement, idempotency When to Use Building multi-step AI pipelines that exceed one agent's capability Parallelizing research, analysis, or generation tasks Creating specialist agent teams with defined roles and contracts Designing fault-tolerant AI workflows for production deployment Optimizing cost across workflows with mixed model tiers Clarify First Before designing the workflow, confirm these inputs. If any is unknown or vague, ASK — do not assume: [ ] Workflow topology — linear, parallel, tree/delegation, reactive, or consensus (selects which of the five orchestration patterns) [ ] Framework target — LangGraph, CrewAI, AutoGen, or Claude agent teams (determines the implementation code emitted) [ ] Reliability & cost constraints — failure tolerance and budget (drives circuit breakers, retries, timeouts, and model-tier routing) Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/agent-workflow-designer