agenticflow-skills
GitHubAgenticFlow平台AI工作流、智能体及多智能体协作系统的构建指南。涵盖线性工作流设计、单Agent配置及Supervisor等编排模式，用于开发自动化AI应用。
Trigger Scenarios
Install
npx skills add viralcode/openwhale --skill agenticflow-skills -g -y
SKILL.md
Frontmatter
{
"name": "agenticflow-skills",
"license": "MIT",
"description": "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."
}
AgenticFlow Skills
AgenticFlow is a platform for building AI-powered automation workflows, intelligent agents, and workforce systems.
Quick Navigation
| Topic | When to Use | Reference |
|---|---|---|
| Workflow | Building automation flows with nodes | workflow/overview.md |
| Agent | Creating single intelligent agents | reference/agent/overview.md |
| Workforce | Orchestrating multiple agents | reference/workforce/overview.md |
Workflow
Workflows are linear automation pipelines composed of sequential nodes. Each node performs a specific action.
| Guide | Description |
|---|---|
| overview.md | Core concepts, schemas, execution model |
| how-to-build.md | Step-by-step build guide |
| how-to-run.md | Execute workflows and handle results |
| node-types.md | Node type schemas and discovery |
| connections.md | Connection providers and setup |
Node Types Overview
| Category | Example Node Types | Purpose |
|---|---|---|
| AI/LLM | claude_ask, openai_chat, gemini |
AI model calls, text generation |
| Image Generation | generate_image, dall_e |
Create images from prompts |
| Data Processing | json_parse, text_transform |
Transform and manipulate data |
| Integrations | slack_send, gmail, notion |
Connect to 300+ external services (MCPs) |
| API Calls | http_request, webhook |
HTTP requests and webhooks |
| File Operations | file_upload, pdf_parse |
Upload, 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.
Version History
- 238a4b1 Current 2026-08-20 08:20
