agenticflow-skills

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Comprehensive guide for building AI workflows, agents, and workforce systems with AgenticFlow. Use when designing workflows with various node types, configuring single agents, or orchestrating workforce collaboration patterns.

Install

mkdir -p .claude/skills/agenticflow-skills && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8330" && unzip -o skill.zip -d .claude/skills/agenticflow-skills && rm skill.zip

Installs to .claude/skills/agenticflow-skills

About this skill

AgenticFlow Skills

AgenticFlow is a platform for building AI-powered automation workflows, intelligent agents, and workforce systems.

Quick Navigation

TopicWhen to UseReference
WorkflowBuilding automation flows with nodesworkflow/overview.md
AgentCreating single intelligent agentsreference/agent/overview.md
WorkforceOrchestrating multiple agentsreference/workforce/overview.md

Workflow

Workflows are linear automation pipelines composed of sequential nodes. Each node performs a specific action.

GuideDescription
overview.mdCore concepts, schemas, execution model
how-to-build.mdStep-by-step build guide
how-to-run.mdExecute workflows and handle results
node-types.mdNode type schemas and discovery
connections.mdConnection providers and setup

Node Types Overview

CategoryExample Node TypesPurpose
AI/LLMclaude_ask, openai_chat, geminiAI model calls, text generation
Image Generationgenerate_image, dall_eCreate images from prompts
Data Processingjson_parse, text_transformTransform and manipulate data
Integrationsslack_send, gmail, notionConnect to 300+ external services (MCPs)
API Callshttp_request, webhookHTTP requests and webhooks
File Operationsfile_upload, pdf_parseUpload, download, process files

Note: Workflows in AgenticFlow are linear and sequential - nodes execute top to bottom with no branching or loops.


Agent

An Agent is an AI entity with specific capabilities, tools, and a defined persona.

To learn about agent configuration, load: reference/agent/overview.md


Workforce

Workforce systems coordinate multiple agents to solve complex tasks collaboratively.

To understand orchestration patterns, load: reference/workforce/overview.md

Common Patterns

  • Supervisor - One agent delegates to specialists
  • Swarm - Agents self-organize dynamically
  • Pipeline - Sequential agent handoffs
  • Debate - Agents discuss to reach consensus

Glossary

For terminology and definitions, see reference/glossary.md.

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