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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
54page
413pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Coordinate several agents around one outcome.
- Assign specialist roles and handoffs.
- Inspect launch packets before running a team.
Recommended trials and bundles
explainx / agent
Autonomous HR Chatbot
An autonomous HR agent that can answer user queries using tools
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
avantis-skill skill by openclaw/skills
This skill executes leveraged trades on Avantis Base across crypto, forex, and commodities using Python SDK for automated wallet trading.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
avnu skill by avnu-labs/avnu-skill
This skill helps you build Starknet DeFi features by integrating avnu SDK for best-price swaps, DCA, staking, and gasless transactions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
AWS AgentCore MCP Server - weiwarren/agentcore-mcp-server
Provides MCP access to AWS AgentCore components for building secure, observable AI agents at scale.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws skill by doanchienthangdev/omgkit
This skill helps you design and deploy AWS infrastructure using Lambda, S3, DynamoDB, ECS, and CDK with best practices.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-agentcore skill by hoodini/ai-agents-skills
This skill helps you design and deploy AI agents on AWS Bedrock AgentCore, enabling tool orchestration, memory, and secure identity integration.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-cloud-services skill by manutej/luxor-claude-marketplace
This skill helps you design, deploy, and manage AWS cloud infrastructure using S3, Lambda, DynamoDB, IAM, CloudFormation, and best practices.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-cloud-watch skill by openclaw/skills
This skill fetches AWS CloudWatch metrics for ECS, EC2, and RDS and returns concise text summaries with actionable insights.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-s3 skill by mgd34msu/goodvibes-plugin
Manages file storage with AWS S3 using the JavaScript SDK v3. Use when uploading files, generating presigned URLs, managing buckets, or implementing cloud storage in Node.js applications.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-sdk-java-v2-bedrock skill by giuseppe-trisciuoglio/developer-kit
This skill helps Java developers integrate Amazon Bedrock patterns with AWS SDK 2.x, enabling model listing, invocation, streaming, and Spring Boot integration.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-sdk-java-v2-rds skill by giuseppe-trisciuoglio/developer-kit
This skill helps you manage AWS RDS resources using the Java v2 SDK, covering instances, snapshots, parameter groups, backups, and monitoring.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4955 matching candidates for Multi-agent Orchestration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.