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 triages bug reports by searching Jira for duplicates, fetching similar issues, and guiding whether to create or comment on tickets.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps verify AI agent trust scores, search verified knowledge pools, and contribute or validate community knowledge for reliability.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates typed TypeScript SDKs for MCP tools, converting JSON-RPC patterns into clean, reusable client methods for AI agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates typed TypeScript SDKs to enable AI agents to interact with MCP servers through clean function calls instead of curl.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill analyzes TypeScript files to locate API interfaces, extract request/response details from code and comments, and generate a Markdown table doc.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you generate YouTube content across Shorts, long-form videos, and thumbnails using CellCog, boosting views and production speed.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you generate a Turbine BTC 15-minute market maker bot using a proven template with auto API credential setup.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps set up a productive local TwinMind development loop for API integration, testing calls, and building meeting automation.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you boost TwinMind transcription accuracy and speed by tuning metrics, audio quality, models, and streaming to optimize performance.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Browse curated TypeScript skills for AI coding agents. Types, generics, patterns, and strict-mode best practices.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build production-ready MCP servers on Cloudflare Workers using TypeScript and the official SDK, preventing common misconfigurations.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build production-ready MCP servers on Cloudflare Workers with TypeScript, securing APIs and integrating Cloudflare services.
- Fit
- 66 / 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.