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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
85page
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
debug-like-expert-skill skill by scientiacapital/skills
This skill enables rigorous, methodical debugging with evidence gathering, hypothesis testing, and verification to pinpoint root causes.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
debug-react-native skill by snakeo/claude-debug-and-refactor-skills-plugin
This skill helps you systematically diagnose and resolve React Native issues across iOS and Android by following a four-phase approach.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
decibel skill by raintree-technology/claude-starter
This skill helps you integrate with the Decibel on-chain perpetual futures platform, enabling market data access, order management, and TWAP strategies.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Deep Research MCP Server
A server for conducting deep research and generating reports. Browse Deep Research MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deep-research skill by cnemri/google-genai-skills
This skill enables autonomous multi-step research using the Gemini Deep Research Agent to plan, search, read, and synthesize findings.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deepdub-tts skill by openclaw/skills
This skill converts text to speech using Deepdub and returns a Telegram-compatible MEDIA audio file for OpenClaw channels.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deepgram-ci-integration skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you configure and validate Deepgram CI/CD pipelines for automated testing and deployment.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deepgram-core-workflow-a skill by jeremylongshore/claude-code-plugins-plus-skills
This skill enables batch and file-based speech-to-text transcription using Deepgram Nova-2 with configurable punctuation, diarization, and formatted outputs.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deepgram-debug-bundle skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you collect comprehensive Deepgram debug evidence for support and troubleshooting across environments and sessions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deepgram-deploy-integration skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you deploy Deepgram integrations across Docker, Kubernetes, serverless and VMs, ensuring production readiness and reliable infra.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deepgram-expert skill by willsigmon/sigstack
This skill helps you integrate real-time Deepgram transcription with low latency, speaker diarization, and multilingual support into applications.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deepgram-reference-architecture skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps design scalable transcription pipelines with Deepgram reference architectures, enabling synchronous, asynchronous, streaming, and hybrid
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.