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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
55page
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
playbooks / skill
aws-sdk-java-v2-s3 skill by giuseppe-trisciuoglio/developer-kit
This skill teaches practical Amazon S3 operations with AWS SDK for Java 2.x, enabling efficient bucket management, object handling, and presigned URLs.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-serverless skill by xfstudio/skills
This skill helps you design, deploy, and optimize production-ready AWS serverless apps using Lambda, API Gateway, DynamoDB, and SQS/SNS.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-strands skill by hoodini/ai-agents-skills
This skill helps you build model-agnostic AI agents with the Strands SDK on AWS, enabling ReAct, multi-agent orchestration, and production deployment.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-strands skill by openclaw/skills
This skill helps you build and run Python-based AI agents with Strands SDK, enabling autonomous workflows, tool creation, and multi-agent coordination.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-strands-agents-agentcore skill by sammcj/agentic-coding
This skill guides you in building and deploying AI agents with AWS Strands Agents SDK and Bedrock AgentCore, including architecture, observability, and
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
axe-accessibility skill by a5c-ai/babysitter
This skill runs automated axe-core accessibility scans, reports WCAG violations, and suggests actionable fixes to improve inclusivity across web pages.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
axiom-swiftui-26-ref skill by charleswiltgen/axiom
This skill guides implementing iOS 26 SwiftUI features, enabling Liquid Glass, AttributedString, WebView, Animatable, drag and drop, and visionOS integration.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / workflow
Azure skills for AI agents
Browse Azure skills for Claude Code, Cursor, Codex and more AI coding agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-agents-persistent-dotnet skill by sickn33/antigravity-awesome-skills
This skill helps you orchestrate persistent AI agents in .NET with threads, messages, runs, and tools for end-to-end workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-agents-persistent-java skill by sickn33/antigravity-awesome-skills
This skill helps you manage persistent Azure AI agents in Java by creating threads, messages, runs, and tools across sessions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-agents-py skill by openclaw/skills
This skill helps you build and manage Azure AI Agents using the Python SDK to deploy threads, messages, runs, and tools.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-agents-python skill by microsoft/skills
This skill helps you build and manage Azure AI Agents workflows in Python, enabling threads, messages, runs, streaming, and vector storage.
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.