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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
192page
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
upgrading-react-native skill by callstackincubator/agent-skills
This skill guides upgrading React Native apps with upgrade helper, dependency checks, Expo steps, and verification to reduce pitfalls.
MCPCLISDKHTTP
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
upstash-vector-db-skills
When using an embedding model in the index, text is embedded automatically:
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upstash-vector-db-skills skill by gocallum/nextjs16-agent-skills
This skill helps you set up Upstash Vector DB for semantic search, namespaces, and MixBread embeddings, accelerating vector-based apps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
upstash/workflow TypeScript SDK Skill
upstash/workflow-typescript-sdk-skill — an installable skill for AI agents, published by upstash/workflow-js.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
urdf-sdf-model skill by a5c-ai/babysitter
This skill generates and validates URDF and SDF robot models, computes inertial properties, and configures joints, sensors, and macros for modular design.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
usage-analytics-collector skill by a5c-ai/babysitter
This skill helps collect privacy-preserving SDK usage analytics, anonymizing data, supporting opt-in controls, and delivering actionable dashboards.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
use-ai-sdk skill by vercel/ai
This skill helps developers integrate and reason about the AI SDK to build agents, tools, and chat features efficiently.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
using-document-databases skill by ancoleman/ai-design-components
This skill helps you design and implement flexible document databases across MongoDB, DynamoDB, and Firestore to accelerate schemas, indexing, and queries.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
using-neon skill by neondatabase/agent-skills
Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
using-neon skill by xfstudio/skills
This skill helps you work with Neon Serverless Postgres by providing guidance on setup, connections, features, authentication, and APIs.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
using-sentry skill by andrelandgraf/fullstackrecipes
This skill helps you instrument applications with Sentry by capturing exceptions, adding context, tracing performance, and enabling structured logging.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- 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.