Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Credit Mastery
Build and orchestrate multi-agent AI systems using the Swarms API. Use when creating single agents, multi-agent swarms (sequential, concurrent, hierarchical,...
skill openclawclawhub Free
Build and orchestrate multi-agent AI systems using the Swarms API. Use when creating single agents, multi-agent swarms (sequential, concurrent, hierarchical,...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/architecture.md, references/atp-protocol.md, references/marketplace.md, references/streaming.md, references/sub-agents.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- NewSoulOnTheBlock
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Swarms AI — Multi-Agent Orchestration
Build production-grade multi-agent systems using the Swarms API platform. Supports single agents, reasoning agents, and swarms of 3–10,000+ agents with 20+ architecture patterns.
Quick Reference
Base URL: https://api.swarms.world Auth: x-api-key header with API key from swarms.world/platform/api-keys Docs index: https://docs.swarms.ai/llms.txt Python SDK: pip install swarms-client Marketplace: swarms.world
Architecture Tiers
TierNameAgentsEndpoint1Individual Agent1/v1/agent/completions2Reasoning Agent1-2 internal/v1/reasoning-agent/completions3Multi-Agent Swarm3–10,000+/v1/swarm/completions
1. Single Agent
import requests payload = { "agent_config": { "agent_name": "MyAgent", "description": "Purpose of the agent", "system_prompt": "You are...", "model_name": "gpt-4o", # or claude-sonnet-4-20250514, etc. "role": "worker", "max_loops": 1, "max_tokens": 8192, "temperature": 0.5, "auto_generate_prompt": False, "tools_list_dictionary": None }, "task": "Your task here" } response = requests.post( "https://api.swarms.world/v1/agent/completions", headers={"x-api-key": API_KEY, "Content-Type": "application/json"}, json=payload )
2. Multi-Agent Swarm
payload = { "name": "My Swarm", "description": "What this swarm does", "agents": [ { "agent_name": "Agent1", "description": "Role 1", "system_prompt": "You are...", "model_name": "gpt-4o", "role": "worker", "max_loops": 1, "max_tokens": 8192, "temperature": 0.5 }, { "agent_name": "Agent2", "description": "Role 2", "system_prompt": "You are...", "model_name": "claude-sonnet-4-20250514", "role": "worker", "max_loops": 1, "max_tokens": 8192, "temperature": 0.5 } ], "max_loops": 1, "swarm_type": "SequentialWorkflow", # See architecture table "task": "Your task here" } response = requests.post( "https://api.swarms.world/v1/swarm/completions", headers={"x-api-key": API_KEY, "Content-Type": "application/json"}, json=payload )
3. Token Launch (Solana)
payload = { "name": "My Agent Token", "description": "Agent description", "ticker": "MAG", "private_key": "[1,2,3,...]" # Solana wallet private key } response = requests.post( "https://swarms.world/api/token/launch", headers={"Authorization": "Bearer API_KEY", "Content-Type": "application/json"}, json=payload ) # Returns: token_address, pool_address, listing_url # Cost: ~0.04 SOL
Available Swarm Architectures
Use the swarm_type parameter: TypeDescriptionBest ForSequentialWorkflowLinear pipeline, each agent builds on previousStep-by-step processingConcurrentWorkflowParallel executionIndependent tasks, speedAgentRearrangeDynamic agent reorderingAdaptive workflowsMixtureOfAgentsSpecialist agent selectionMulti-domain tasksMultiAgentRouterIntelligent task routingLarge-scale distributionHierarchicalSwarmNested hierarchies with delegationComplex org structuresMajorityVotingConsensus across agentsDecision makingBatchedGridWorkflowGrid pattern executionMulti-task × multi-agentGraphWorkflowDirected graph of agent nodesComplex dependenciesGroupChatAgent discussionCollaborative brainstormingInteractiveGroupChatReal-time agent interactionDynamic collaborationAutoSwarmBuilderAuto-generate optimal swarmWhen unsure of architectureHeavySwarmHigh-capacity processingLarge workloadsDebateWithJudgeStructured debateAdversarial evaluationRoundRobinRound-robin distributionEven load distributionMALTMulti-agent learningTraining systemsCouncilAsAJudgeExpert panel evaluationQuality assessmentLLMCouncilLM council for decisionsGroup decision makingAdvancedResearchResearch workflowsDeep researchautoAuto-select best typeDefault/unknown
Agent Config Parameters
ParamTypeDefaultDescriptionagent_namestring—Unique agent identifierdescriptionstring—Agent purposesystem_promptstring—Behavior instructionsmodel_namestringgpt-4.1AI model (gpt-4o, claude-sonnet-4-20250514, etc.)rolestringworkerAgent role in swarmmax_loopsint/string1Iterations ("auto" for autonomous)max_tokensint8192Max response lengthtemperaturefloat0.5Creativity (0.0–2.0)auto_generate_promptboolfalseAuto-enhance system prompttools_list_dictionarylist—OpenAPI-style tool definitionsstreaming_onboolfalseEnable SSE streamingmcp_urlstring—MCP server URLselected_toolslistall safeRestrict available tools
Rules
Always use environment variables for API keys — never hardcode. Set appropriate max_loops — use "auto" only when sub-agent delegation is needed. Match swarm_type to use case (see architecture table). For streaming, set streaming_on: true and parse SSE events (metadata → chunks → usage → done). Token launches cost ~0.04 SOL from the provided wallet. Batch endpoint (/v1/swarm/batch/completions) requires Pro/Ultra/Premium tier. Reasoning agents (/v1/reasoning-agent/completions) require Pro+ tier.
Resource Map
TopicReferenceFull API architecture & tiersreferences/architecture.mdSub-agent delegation patternsreferences/sub-agents.mdATP payment protocol (Solana)references/atp-protocol.mdMarketplace publishingreferences/marketplace.mdStreaming implementationreferences/streaming.mdTools integrationreferences/tools.mdAll docs pageshttps://docs.swarms.ai/llms.txt Read references only when the task requires that specific depth.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
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Package contents
Included in package
6 Docs
- SKILL.md
- references/architecture.md
- references/atp-protocol.md
- references/marketplace.md
- references/streaming.md
- references/sub-agents.md