Find, trial, compare, and govern AI agents before hiring
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
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
This skill helps you manage Azure Queue Storage in TypeScript by performing send, receive, peek, and delete operations with clear guidance.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you query and manage Azure resources such as storage, Key Vault, Cosmos DB, and AKS using MCP best practices.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides Backblaze B2 Cloud Storage integration with OpenTofu/Terraform and B2 CLI. Use when managing B2 buckets, application keys, file uploads, lifecycle rules, or S3-compatible storage.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill integrates a local Backboard backend to manage assistants, threads, memories, and document RAG for contextual AI workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage MultiversX backend operations by handling transactions, data ingestion, and API integration across Go, Python, and TypeScript.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Browse Backend skills for Claude Code, Cursor, Codex and more AI coding agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill analyzes HTTP signals, DNS, and repository data to infer backend technologies, improving vulnerability assessment and tooling alignment.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps design scalable, resilient backend systems and APIs by defining boundaries, contracts, and observability from day one.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
A lightweight library that leverages Language Models (LLMs) to enable natural language interactions, allowing you to source and converse with data.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables secure SIWA authentication with Bankr signer, facilitating ERC-8004 agent registration and verified requests across supported networks.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates high-quality images using OpenAI and Google APIs with prompts, references, aspect ratios, and quality presets.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through creating and funding a Base wallet and registering ERC-8004 onchain identity for permanent reputation.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
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.
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.