~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
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
133page
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
microsoft-code-reference skill by github/awesome-copilot
This skill helps you find official Microsoft API references, working code samples, and correct SDK usage to troubleshoot and implement Azure, .NET, and Graph
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Verified source
- Install
- MCP ready
Review links
playbooks / skill
microsoft-code-reference skill by mindmorass/reflex
Search and reference Microsoft code samples and SDK documentation
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
microsoft-skill-creator skill by github/awesome-copilot
This skill helps you create hybrid Microsoft technology skills that store essential knowledge locally while enabling dynamic deeper Lookups.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Verified source
- Install
- MCP ready
Review links
playbooks / skill
migrate-oai-app skill by tldraw/tldraw
This skill guides migrating OpenAI Apps SDK projects to the MCP Apps SDK with step-by-step mappings and API reference.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mintlify skill by bankkroll/skills-builder
This skill helps you quickly navigate Mintlify docs to find agent, ai, api, authentication, and component guidance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
miro-sdk skill by openclaw/skills
This skill provides a complete reference for building Miro Web SDK plugins and desktop apps, covering core APIs, authentication, events, and best practices.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
misoapps skill by toilahuongg/shopify-agents-kit
This skill helps you manage Miso Apps email and shop integrations in Shopify apps, sending emails, configuring SMTP, and retrieving logs efficiently.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mistral-local-dev-loop skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you set up a fast Mistral local development loop with hot reload, tests, and structured project scaffolding.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
mistral-mcp Server
MCP server exposing the full Mistral AI surface (chat, OCR, Codestral FIM, Voxtral audio, vision, agents, moderation, classification, files, batch). Stdio...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mistral-reference-architecture skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you design robust Mistral AI integrations by enforcing reference architecture patterns, project layout, and best practices.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mistral-security-basics skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you secure Mistral AI secrets and enforce least-privilege access by validating keys, rotating credentials, and auditing configurations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
MIT
Improving Factuality and Reasoning in Language Models through Multiagent Debate
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.