Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Agentic Workflow Architect Engine

    1

    Architects high-precision multi-agent systems with detailed personas, handover logic, and Mermaid.js diagrams.

    $149

    Secure checkout via Stripe

    30-day refund guarantee

    Converts to your local currency at checkout

    0 installsSecurity scanned
    Agentic Workflow Architect Engine

    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 NameCore ResponsibilitySuccess Metrics
    The Prospecting ScoutIdentifies 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.

    What you get

    Generate multi-agent personas with specific cognitive boundaries and toolsets.Create visual Mermaid.js architecture diagrams for system documentation.Define handover logic and error-correction loops for autonomous swarms.Export structured JSON configurations for CrewAI or LangGraph orchestration.

    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?

    1. 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.
    2. The Claude-Optimized Skill (.md): A specialized version calibrated for the Claude Sonnet and Opus reasoning engine, perfect for complex coding and logic tasks.
    3. The Openclaw-Optimized Skill (.md): A version specifically tuned for autonomous browser-based agents and terminal-heavy execution environments.
    4. 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.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago

    Frequently Asked Questions