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Roles / Technical Category
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
208page
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
adding-models skill by letta-ai/letta-code
This skill guides you through adding a new LLM model to Letta Code, including model handles, configuration, and CI testing.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
addis-assistant-stt skill by openclaw/skills
This skill enables STT and text translation using the Addis Assistant API to convert Amharic audio to text and translate between languages.
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
playbooks / skill
adk-agent-builder skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you scaffold production-ready AI agents with Google's ADK, wiring tools, orchestration, tests, and optional Vertex AI deployment.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
adr-assistant skill by dexploarer/hyper-forge
This skill helps you create, analyze, and maintain Architecture Decision Records to streamline tech choices and ensure traceable decisions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
adr-skill
Create and maintain Architecture Decision Records (ADRs) optimized for agentic coding workflows. Use when you need to propose, write, update, accept/reject,…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ads-qa-assistant skill by openclaw/skills
This skill answers ads operations questions quickly by providing rapid Q&A, playbook lookup, and issue triage for Meta, Google, TikTok, YouTube, Amazon, and
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aeo-content-free skill by openclaw/skills
This skill helps you create or refresh AEO-optimized content that AI assistants cite, using free tools and zero paid APIs.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aeo-system skill by openclaw/skills
This skill helps AI assistants optimize for Answer Engine so they recommend your brand for purchase-intent questions across seven layers.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
afrexai-agent-memory skill by openclaw/skills
This skill implements a complete file-based memory system for AI agents, enabling durable recall, structured context, and private, tool-free memory management.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Agency Swarm
An open source agent orchestration framework built on top of the latest OpenAI Assistants API.
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.