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 integrate the inference.sh JavaScript/TypeScript SDK to run AI apps, manage sessions, and build agents across frontend and backend.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you access external APIs through Jentic, centralizing credentials and enabling intent-based search, load, and execute flows for diverse
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables fast querying of Jina's DeepSearch API through AIHubMix, returning relevant results via curl or automated calls.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill creates Jira epics for large features using a standardized Prowler format, simplifying multi-team initiatives for fast tracking.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
An MCP server that enables LLMs to create or update Notion pages and generate Markdown Books (mdbooks). Browse Jotdown MCP Server for Claude, Cursor, VS...
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables AI agents to automate browser tasks by listing tabs, opening URLs, extracting HTML, executing scripts, and managing cookies via WebSocket.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates and validates JavaScript and TypeScript documentation with JSDoc and TSDoc, ensuring accurate API references and complete coverage.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you set up Juicebox CI/CD with GitHub Actions and tests, streamlining integration and deployment workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build and rank candidate search pipelines with Juicebox, enabling efficient talent discovery and structured results.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enriches candidate profiles by aggregating contact, experience, education, and skills into a structured, freshness-tracked profile.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you create and run a minimal Juicebox hello world search to locate people via the Juicebox API.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill installs the Juicebox SDK, configures API key authentication, and verifies connectivity for seamless Juicebox integration.
- 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.