agenticflow-skills
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.
What this skill does
# 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](./reference/workflow/overview.md) | | **Agent** | Creating single intelligent agents | [reference/agent/overview.md](./reference/agent/overview.md) | | **Workforce** | Orchestrating multiple agents | [reference/workforce/overview.md](./reference/workforce/overview.md) | --- ## Workflow Workflows are linear automation pipelines composed of sequential nodes. Each node performs a specific action. | Guide | Description | |-------|-------------| | [overview.md](./reference/workflow/overview.md) | Core concepts, schemas, execution model | | [how-to-build.md](./reference/workflow/how-to-build.md) | Step-by-step build guide | | [how-to-run.md](./reference/workflow/how-to-run.md) | Execute workflows and handle results | | [node-types.md](./reference/workflow/node-types.md) | Node type schemas and discovery | | [connections.md](./reference/workflow/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](./reference/agent/overview.md) --- ## Workforce Workforce systems coordinate multiple agents to solve complex tasks collaboratively. **To understand orchestration patterns, load:** [reference/workforce/overview.md](./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](./reference/glossary.md).
Related in Backend & APIs
jfrog
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IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
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token-optimizer
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