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Roles / Technical Category
Review matching candidates
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
76page
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
explainx / agent
Codegen
Refactors at Scale | Automate, Transform, and Optimize Your Codebase
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
coderabbit-install-auth skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you install and configure CodeRabbit authentication for SDK/CLI, enabling secure API access and smooth project setup.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
coderabbit-security-basics skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps secure CodeRabbit integration by managing API keys, enforcing least privilege, and auditing access across environments.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
coderabbit-upgrade-migration skill by jeremylongshore/claude-code-plugins-plus-skills
This skill guides you through CodeRabbit SDK upgrades, detects breaking changes, and ensures a smooth migration with tests and rollback steps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
codex-readiness-unit-test skill by openai/skills
This skill runs deterministic readiness checks and in-session evaluations for AGENTS PLANS documentation, producing JSON evidence and a structured report.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / model
Cohere Command A+
Cohere Command A+ is an open-source LLM optimized for agentic, multilingual, and reasoning-heavy tasks. It supports vision inputs and is designed for efficie…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cohere-embeddings skill by rshvr/unofficial-cohere-best-practices
This skill helps you optimize vector search and RAG with Cohere embeddings, covering embed-v4 and input_type best practices for accurate retrieval.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cohere-go-sdk skill by rshvr/unofficial-cohere-best-practices
This skill provides Go developers with Cohere API usage guidance, covering chat, streaming, embeddings, reranking, and tool integration for rapid app
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cohere-java-sdk skill by rshvr/unofficial-cohere-best-practices
This skill helps Java/Kotlin developers integrate Cohere APIs efficiently, with examples for chat, embeddings, reranking, streaming, tools, and error handling.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cohere-langchain skill by rshvr/unofficial-cohere-best-practices
This skill helps you build and optimize Cohere LangChain RAG pipelines and tool workflows by providing integrated chat, embeddings, and retriever examples.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cohere-python-sdk skill by rshvr/unofficial-cohere-best-practices
This skill helps you leverage Cohere's Python SDK for chat, tool use, streaming, and RAG to build Python apps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cohere-rerank skill by rshvr/unofficial-cohere-best-practices
This skill helps optimize two stage retrieval with Cohere rerank, improving semantic search and RAG pipelines across docs.
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.