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 builds complete React features with UI, business logic, and data access, delivering production-ready, maintainable code across layers.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill creates structured, phased feature plans in ~/.ai/plans, enabling progressive disclosure, stackable PRs, and quick context for future agents.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps AI assistants manage Feishu calendars, tasks, and contacts by providing simple CLI commands with conflict detection and OAuth integration.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you recall and search Feishu messages across groups, generate digests, and log cross-group events for OpenClaw agents.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill configures and verifies Feishu multi-account routing with isolated agents, ensuring distinct prompts, memory bootstrap, and deterministic logs.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage Feishu Sheets programmatically, including create, read, write, and modify spreadsheets and worksheets.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Fere AI is your copilot for crypto and Polymarket research and trading, executing strategies with precision.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Teaches agents how FHIR R4 APIs work, what resources are available, how to query them with search parameters, and how to correctly parse all response formats…
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you automate design-to-code workflows with Figma API, extracting tokens and generating React/CSS components.
- Fit
- 61 / 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.