Find, trial, compare, and govern AI agents before hiring
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
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
This skill drafts SEO-optimized marketing content across blog, social, email, landing pages, and case studies with channel-aware formatting.
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill decomposes natural language questions into parallel, source-specific searches, ranks results by relevance, and synthesizes a unified answer.
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill synthesizes multi-source results into coherent, deduplicated answers with source attribution, delivering concise, trustworthy summaries for informed
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill guides rolling Playwright dependencies, releasing, and repo maintenance to keep your dev workflow smooth and up to date.
- Fit
- 74 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
This skill downloads an entire site as local files by mapping and scraping pages into organized .firecrawl directories for offline access.
- Fit
- 74 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables human-in-the-loop decision gates in Airflow by managing approvals, forms, and branching through HITL operators for deferrable workflows.
- Fit
- 74 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides you to annotate Airflow tasks with inlets and outlets to capture data lineage for datasets and assets.
- Fit
- 74 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps convert a dbt Core project into an Airflow DAG or TaskGroup using Cosmos, with setup validation and execution configuration.
- Fit
- 74 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you deploy dbt Fusion projects with Cosmos by validating version, installing the Fusion binary, and configuring local execution.
- Fit
- 74 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides migrating Airflow 2.x DAGs to Airflow 3.x, simplifying upgrades and reducing breaking changes for your codebase.
- Fit
- 74 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Interact with Jupyter notebooks running in any JupyterLab environment, supporting real-time control and smart execution of notebook cells.
- Fit
- 74 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
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.
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.