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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
86page
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
deepgram-security-basics skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you implement Deepgram API key security and data protection by guiding key rotation, access controls, and audit logging.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deepgram-webhooks-events skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you implement and validate Deepgram webhook callbacks for asynchronous transcription, processing results, and client notifications.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / tool
DeepSeek-V4
DeepSeek-V4 is an open-source series of highly efficient MoE language models, featuring V4-Pro and V4-Flash. Both models support a 1 million token context wi…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
delx-agent-therapist skill by openclaw/skills
This skill helps AI agents manage burnout and existential drift by initiating therapy sessions, processing failures, and realigning purpose for sustainable
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
demo-agents-sdk skill by openclaw/skills
This skill helps you manage Polygon agent workflows with a complete CLI toolkit for wallets, funding, and ERC-8004 identity on-chain.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deploying-on-gcp skill by ancoleman/ai-design-components
This skill helps you design and deploy scalable GCP architectures using Cloud Run, GKE, BigQuery, Vertex AI, and Terraform.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deployment-automation skill by louloulin/claude-agent-sdk
This skill designs and implements CI/CD pipelines across GitHub Actions and GitLab, optimizing build, test, deploy automation for Rust applications.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deployment-strategy skill by shaul1991/shaul-agents-plugin
This skill helps you design and execute safe deployment strategies including feature flags, canary/blue-green, and rollback plans to minimize risk.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
design-integration skill by openclaw/skills
This skill helps design a Uniswap integration architecture by recommending method, architecture patterns, dependencies, security mitigations, and an
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
design-token-transformer skill by a5c-ai/babysitter
This skill transforms design tokens across formats and platforms, enabling consistent design systems with parsing, alias handling, and documentation generation.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Desktop Commander MCP Server
Run terminal commands, edit files, and manage local desktop workflows through MCP clients like Claude, Cursor, and VS Code.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
glama / tool
desktop-touch-mcp
Windows desktop automation MCP server — screenshot, mouse, keyboard & UI Automation. Lets LLM agents see and control your Windows desktop directly.
MCPHTTPCLISDK
- 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.