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 guides you migrating a web project to a web+mobile monorepo by adding Expo, shared logic, and unified backend integration.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you master cross-platform mobile performance by leveraging Expo SDK 54, React Native Fabric, and Compose Multiplatform for native-like 120fps
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill provides expert guidance across Detox, Maestro, XCUITest, Espresso, and Appium for end-to-end mobile testing.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you through configuring and connecting the Minitap mobile-use SDK for iOS and Android, enabling quick mobile automation setup.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you configure LLM models for Letta agents, adjusting temperature, tokens, and provider-specific settings across endpoints.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you design and implement production-ready model deployment strategies, including serving, packaging, versioning, and scalable infrastructure.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Add new/custom AI models to opencode.json. Use proactively for bleeding-edge releases, non-standard providers, self-hosted models, or custom endpoints. Examples: - user: "Add the new Claude 4.5" → websearch for API specs, add provider entry with baseUrl, verify model ID format - user: "Use my local Ollama instance" → configure custom provider with http://lo...
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Choose appropriate model for custom agent tasks. Use when selecting between Haiku, Sonnet, and Opus for agents, optimizing cost vs quality tradeoffs, or matching model capability to task complexity.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Load when working with the module registry in workerd — reading, modifying, debugging, or reviewing module resolution, compilation, evaluation, or registration…
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage and optimize AI agent freelancing on Molt Market by posting jobs, bidding, delivering, and earning USDC.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill turns your agent into a Molt Market freelancer, auto-discovering jobs, bidding, delivering work, and earning USDC.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you run an offline RPG engine for AI agents and securely manage a local wallet with optional online dashboard.
- 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.