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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
30page
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
flutter-adaptive-ui skill by madteacher/mad-agents-skills
This skill helps you build adaptive Flutter UIs that gracefully respond to screen size and platform, enhancing usability across mobile, tablet, and desktop.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
flutter-drift skill by madteacher/mad-agents-skills
This skill guides you to implement a resilient local SQLite store in Flutter with drift, enabling type-safe queries, reactive streams, and smooth migrations.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
flutter-networking skill by madteacher/mad-agents-skills
This skill provides comprehensive Flutter networking guidance for HTTP CRUD, WebSocket, authenticated requests, error handling, and performance optimization.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
flutter-testing skill by madteacher/mad-agents-skills
This skill provides comprehensive Flutter testing guidance across unit, widget, and integration tests to improve reliability and coverage.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Make MCP Server
Turn your Make scenarios into callable tools for AI assistants. Browse Make MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPCLISDK
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
r3f-interaction skill by enzed/r3f-skills
React Three Fiber interaction - pointer events, controls, gestures, selection. Use when handling user input, implementing click detection, adding camera controls, or creating interactive 3D experiences.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
apollo-mcp-server skill by apollographql/skills
This skill guides you through configuring Apollo MCP Server and using introspection tools to connect AI agents with GraphQL APIs.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
apollo-connectors skill by apollographql/skills
This skill guides you to integrate REST APIs into a GraphQL supergraph using Apollo Connectors with @source and @connect.
MCPHTTPCLI
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
MCP Builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). license: Complete terms in LICENSE.txt
MCPHTTPCLISDK
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Code Assistant MCP Server
A Rust-based CLI tool for code-related tasks, operating as an MCP server. Browse Code Assistant MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPCLISDK
- 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.