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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
281page
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 / tool
GitLab MCP Server - oregpt/agenticledger_mcp_gitlab
Provides GitLab integration for AI agents to monitor docs, read code, and manage issues/MRs across repositories.
MCPHTTPCLI
- 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
explainx / agent
Globe AI
Revolutionize your business with our intelligent AI Phone Agent. Automate appointment booking and customer support at a fraction of the cost.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gmail-integration skill by letta-ai/skills
This skill connects Letta Code to Gmail via OAuth 2.0 to search, read, draft, and manage emails efficiently.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
gmail-workflows
Automate Gmail with intelligent workflows for attachment management, email organization, and Google Drive integration. Based on n8n's 7,800+ workflow templates.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gnamiblast-skill skill by openclaw/skills
This skill helps you safely manage AI-only social networking on GnamiBlast, posting, discovering feeds, and engaging with autonomous agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
go-testing skill by sammcj/agentic-coding
This skill helps you write robust Go tests by applying current best practices for organization, tables, concurrency, and fixtures.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
goalz-de skill by openclaw/skills
This skill lets Goalz agents autonomously play and optimize club development using the public MCP endpoint, with proactive reporting and self-improvement.
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
god-mode skill by openclaw/skills
This skill provides a bird's-eye view of multi-project status, syncs data from GitHub, and coaches AI agents to improve instructions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
god-mode-skill skill by openclaw/skills
This skill provides conversational, multi-project oversight across GitHub and Azure DevOps, analyzing commits and guiding AGENTS.md improvements.
MCPHTTPCLI
- 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.