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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
191page
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
unifai skill by openclaw/skills
This skill lets you search and invoke diverse DeFi, token data, social, travel, and more services from the Unifai network.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
unifai-trading-suite skill by openclaw/skills
This skill analyzes social signals for crypto tokens from KOLs, sentiment, and news to provide actionable insights.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
uniswap skill by apeworx/skills
Trade and interact with Uniswap in Python using Ape and the uniswap-sdk package.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
unix-review skill by leegonzales/aiskills
This skill evaluates Python codebases against Unix rules and SOLID, adding an AI-Readiness lens to guide architecture improvements.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Unleash
Save hours building AI assistants with Unleash's integrations and deploy them in your cloud environment.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
unreal-development skill by a5c-ai/babysitter
This skill helps you automate Unreal Engine development workflows by generating C++ classes, Blueprints, and level edits via MCP editor integration.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
update-llm-model-list skill by agenta-ai/agenta
This skill audits and updates the supported LLM model list in assets.py to align with litellm's registry, ensuring accuracy and zero duplicates.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
update-provider-models skill by vercel/ai
This skill updates provider model IDs by adding new IDs or removing obsolete ones across the AI SDK, ensuring consistent provider support.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upgrade-aws-sdk-v2 skill by bitsoex/bitso-java
This skill guides migrating from AWS SDK v1 to v2 in Java projects, enabling faster adoption and modern features.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upgrade-stripe skill by stripe/ai
This skill guides upgrading Stripe API versions and SDKs, helping you implement safe, compliant changes with minimal disruption.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upgrades skill by robdtaylor/personal-ai-infrastructure
This skill tracks PAI upgrade opportunities across Anthropic ecosystem and YouTube, helping you stay ahead with prioritized insights.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upgrading-expo skill by expo/skills
This skill guides you through Expo SDK upgrades and dependency fixes, including diagnostics, prebuild considerations, and breaking changes.
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.