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Grok Bot+18 agentsAgentic Workflow Architect Engine
Architects high-precision multi-agent systems with detailed personas, handover logic, and Mermaid.js diagrams.
$149
Agentic Workflow Architect Engine
Example session with this skill installed
Design a 3-agent Lead Gen swarm for a B2B SaaS. Goal: High conversion. Level: Enterprise. Format: Markdown and JSON.
- Read your context and instructions
- Compiled the agentic workflow architect
AGENTIC WORKFLOW DESIGN: B2B Lead Gen Swarm
METADATA
- Target System: Multi-Agent Orchestration
- Strategic Focus: High Conversion
- Estimated Efficiency Gain: 72%
AGENT PERSONA TABLE
| Agent Name | Core Responsibility | Success Metrics |
|---|---|---|
| The Prospecting Scout | Identifies high-intent accounts by cross-referencing LinkedIn data and recent funding rounds to ensure 100% ICP alignment. | Lead Quality > 95% |
[JSON Export and Mermaid code provided for LangGraph implementation]
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Designing multi-agent systems often results in vague architectures, missing handover logic, and brittle workflows that fail in production. Developers spend hours manually defining agent personas and error-handling loops instead of building.
📦 WHAT'S INCLUDED IN THIS BUNDLE?
- The Universal AI Skill (.md): Enterprise-grade universal orchestration layer. Zero prompt engineering — just configure your strategic variables and the system executes the full workflow autonomously. Fully adaptable to any major AI platform.
- The Claude-Optimized Skill (.md): A specialized version calibrated for the Claude Sonnet and Opus reasoning engine, perfect for complex coding and logic tasks.
- The Openclaw-Optimized Skill (.md): A version specifically tuned for autonomous browser-based agents and terminal-heavy execution environments.
- README_FIRST.txt Quick Start Guide: A zero-friction deployment guide to get your first autonomous swarm running in under three minutes.
What it does
- Decomposes business processes into granular, executable multi-agent tasks.
- Generates detailed AI agent personas with specific goals, backstories, and toolsets.
- Constructs a Handover Logic Matrix to define data flow between autonomous agents.
- Produces Mermaid.js diagrams for visual architecture and JSON exports for programmatic ingestion.
- Creates high-density system prompts (150+ words) for lead agents to ensure operational consistency.
Frameworks & tools
LangGraph, CrewAI, AutoGen, Mermaid.js, and any LLM-based orchestration framework requiring structured JSON or Markdown configurations.
Why this beats prompting it yourself
Generic prompts result in "lazy" outputs with placeholders and vague roles. This skill enforces strict constraints, requiring 50+ words per table cell and forbidding truncation, ensuring you get a complete enterprise-grade blueprint ready for implementation.
Use cases
- Architecting high-concurrency customer support swarms for fintech or regulated industries.
- Building automated content supply chains with SEO research and fact-checking agents.
- Designing self-correcting B2B operational workflows with built-in error-correction loops.
- Generating technical documentation and visual graphs for complex AI system proposals.
Known limitations
The skill focuses on architecture and logic design. It does not write the underlying Python or TypeScript implementation code for agent hosting.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.
Focuses on architecture, logic, and configuration. Does not generate the full Python/TypeScript boilerplate for hosting agents.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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- Accounts
OpenAI
Anthropic
Permissions
Allowed Hosts
File Scopes
Permission is required to generate system diagrams, validate JSON syntax via code interpreter, and fetch latest industry standards for workflow logic.