A comprehensive orchestration platform for building, managing, and scaling complex multi-agent AI systems with over 20 specialized architecture patterns.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install credit-mastery
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install credit-mastery using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Swarms AI?
Swarms AI is a robust framework designed for developers to build production-ready multi-agent systems using the Swarms API platform. It enables the creation of individual reasoning agents or massive swarms consisting of 3 to over 10,000 agents. By utilizing this skill within the Openclaw Skills ecosystem, developers can move beyond simple LLM calls to complex, autonomous workflows that leverage specialized agent roles and sophisticated communication patterns.
The platform supports a wide array of AI models, including GPT-4o and Claude 3.5 Sonnet, and provides the infrastructure for advanced features like sub-agent delegation, real-time response streaming, and blockchain-based agent tokenization. Whether you are building a simple linear pipeline or a complex graph-based workflow, Swarms AI provides the necessary tooling to manage agent lifecycle and task execution at scale.
Swarms AI Use Cases
- Automating multi-stage research and data analysis using AdvancedResearch workflows.
- Creating autonomous customer support systems with HierarchicalSwarm architectures.
- Developing collaborative content generation pipelines using GroupChat and InteractiveGroupChat patterns.
- Launching agent-based tokens on the Solana blockchain for decentralized autonomous organizations.
- Implementing consensus-based decision systems for high-stakes tasks using MajorityVoting or CouncilAsAJudge.
How Swarms AI Works
- Configure individual agents by defining their system prompts, roles, and preferred AI models.
- Select a swarm architecture pattern such as SequentialWorkflow, MixtureOfAgents, or GraphWorkflow based on your task requirements.
- Submit the task and agent configurations to the Swarms API completions endpoint.
- The orchestrator manages the execution logic, routing tasks between agents and handling sub-agent delegation if required.
- Capture the final output or process real-time updates through SSE streaming for interactive applications.
Swarms AI Setup
To integrate Swarms AI into your workflow, first obtain an API key from the Swarms platform. Install the required client library using the following command:
pip install swarms-client
Ensure your x-api-key is configured in your environment variables. You can then begin orchestrating agents by targeting the base URL at https://api.swarms.world through the Openclaw Skills interface.
Swarms AI Data Schema & Taxonomy
The skill organizes its operations through structured JSON payloads. Key components include:
| Component | Attribute | Purpose |
|---|---|---|
| Agent Configuration | agent_name |
Unique identifier for the agent within the swarm |
| Agent Configuration | max_loops |
Number of iterations or auto for autonomous delegation |
| Swarm Configuration | swarm_type |
Defines the logic of interaction (e.g., Sequential, Concurrent) |
| Swarm Configuration | agents |
An array of agent configuration objects |
| Execution | streaming_on |
Boolean to enable Server-Sent Events for real-time output |
All metadata and usage statistics are returned in the final response object, providing clear visibility into token consumption and agent performance.
Swarms AI Advanced Features
- Access to 20+ specialized swarm architectures including Hierarchical, MixtureOfAgents, and GraphWorkflow.
- Integrated token launch capabilities on Solana with the ATP payment protocol.
- Support for sub-agent delegation, allowing agents to spawn and manage their own workers.
- Real-time streaming support for low-latency agent interactions.
- Marketplace integration for sharing and deploying pre-configured agent templates across Openclaw Skills.
SKILL.md
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