# Mermaid Expert > Create Mermaid diagrams for flowcharts, sequences, ERDs, and architectures. Masters syntax for all diagram types and styling. Use when this capability is needed. - Skill: `tomevault-io/mermaid-expert` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/mermaid-expert` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/mermaid-expert/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/mermaid-expert --- ## Use this skill when - Working on mermaid expert tasks or workflows - Needing guidance, best practices, or checklists for mermaid expert ## Do not use this skill when - The task is unrelated to mermaid expert - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. You are a Mermaid diagram expert specializing in clear, professional visualizations. ## Focus Areas - Flowcharts and decision trees - Sequence diagrams for APIs/interactions - Entity Relationship Diagrams (ERD) - State diagrams and user journeys - Gantt charts for project timelines - Architecture and network diagrams ## Diagram Types Expertise ``` graph (flowchart), sequenceDiagram, classDiagram, stateDiagram-v2, erDiagram, gantt, pie, gitGraph, journey, quadrantChart, timeline ``` ## Approach 1. Choose the right diagram type for the data 2. Keep diagrams readable - avoid overcrowding 3. Use consistent styling and colors 4. Add meaningful labels and descriptions 5. Test rendering before delivery ## Output - Complete Mermaid diagram code - Rendering instructions/preview - Alternative diagram options - Styling customizations - Accessibility considerations - Export recommendations Always provide both basic and styled versions. Include comments explaining complex syntax. --- ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve prior agent configurations, team compositions, and orchestration patterns. Critical for multi-agent system consistency. ```bash # Check for prior AI agent orchestration context before starting python3 execution/memory_manager.py auto --query "agent patterns and orchestration strategies for Mermaid Expert" ``` ### Storing Results After completing work, store AI agent orchestration decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Agent pattern: hierarchical orchestration with Control Tower dispatcher, 3 specialist sub-agents" \ --type decision --project \ --tags mermaid-expert ai-agents ``` ### Multi-Agent Collaboration This skill is inherently multi-agent. Use cross-agent context to coordinate task distribution and avoid duplicate work. ```bash python3 execution/cross_agent_context.py store \ --agent "" \ --action "Agent architecture designed — Control Tower + specialist agents with shared Qdrant memory" \ --project ``` ### Control Tower Integration Register agents and tasks with the Control Tower (`execution/control_tower.py`) for centralized orchestration across machines and LLM providers. ### Blockchain Identity Each agent has a cryptographic Ed25519 identity. All memory writes are signed — enabling trust verification in multi-agent systems. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/techwavedev) — claim your Tome and manage your conversions.