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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
265page
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
dewey-docs skill by arach/dewey
This skill helps you generate agent-ready project documentation using Dewey, creating AGENTS.md, llms.txt, and install.md for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Dexter
Dexter is an autonomous financial research agent that thinks, plans, and learns as it works.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dialogflow-cx-to-agent-studio-migration skill by openclaw/skills
This skill migrates Dialogflow CX agents to CX Agent Studio by exporting, validating components, creating CES apps/agents, and generating a migration report.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
Dify MCP Client MCP Server - 3dify-project/dify-mcp-client
Provides on-demand MCP client capabilities, connecting ReAct agents to remote MCP servers and enabling tool-based automation with optional UI-TARS GUI automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dify skill by openclaw/skills
This skill helps you build and deploy LLM apps with Dify, design workflows, configure knowledge bases, and manage API calls.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dify-kb-search skill by openclaw/skills
This skill helps you search your Dify knowledge base to retrieve contextual results for accurate, AI-generated answers.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dify-tool-developer skill by skilzy-ai/official-skills
Guide AI agents through Dify tool plugin development with mandatory documentation loading and direct CLI usage. Use when creating Dify tool plugins or extending Dify with custom tools.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dify-workflow-skills skill by mango-svip/dify-workflow-skills
Build and edit Dify workflow DSL files. Use when creating new Dify workflows from scratch, modifying existing workflows (adding/removing nodes, changing connections), validating workflow structure, or designing LLM-based automation flows with code execution, conditional logic, loops, and error handling.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
digitalocean-agentic-cloud skill by bobmatnyc/claude-mpm-skills
This skill helps you design, deploy, and manage AI agents on DigitalOcean Gradient AI with GPU-backed workflows and knowledge bases.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 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.