~/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
6page
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
nanobanana skill by resciencelab/opc-skills
This skill generates and edits images using Gemini 3 Pro Image, delivering high-quality 2K/4K outputs and flexible aspect ratios for creative projects.
MCPHTTPCLISDK
- Fit
- 76 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Excel MCP Server
Excel manipulation including data reading/writing, worksheet management, formatting, charts, and pivot table Browse Excel MCP Server for Claude, Cursor,...
MCPHTTPCLISDK
- Fit
- 76 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
next-best-practices skill by vercel-labs/next-skills
This skill helps you apply Next.js best practices across routing, data handling, and optimization to improve reliability and performance.
MCPHTTPCLISDK
- Fit
- 76 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
next-cache-components skill by vercel-labs/next-skills
This skill helps you implement Next.js 16 Cache Components to mix static, cached, and dynamic content for faster, tailored pages.
MCPHTTPCLISDK
- Fit
- 76 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / tool
Grafana
Safely connect cloud Grafana to AI agents with MCP: query, inspect, and manage Grafana resources using simple, focused o
MCPHTTPCLISDK
- Fit
- 76 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
microsoft-agent-framework
Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
github / skill
wshobson/agents
Multi-harness agentic plugin marketplace for Claude Code, Codex CLI, Cursor, OpenCode, and Gemini CLI
MCPCLIHTTP
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
mcpservers / skill
implementing-agent-modes
Guidelines to create/update a new mode for PostHog AI agent. Modes are a way to limit what tools, prompts, and prompt injections are applied and under what…
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
mcpservers / skill
cli-mastery
Interactive training for GitHub Copilot CLI with guided lessons, quizzes, scenarios, and reference materials. Covers slash commands, shortcuts, modes, agents, skills, MCP, and configuration through eight progressive modules Includes quiz mode (5+ questions per module), scenario challenges, and a comprehensive final exam with XP-based progression tracking Le...
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
mcpservers / skill
dependabot
Dependabot is GitHub's built-in dependency management tool with three core capabilities:
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
mcpservers / skill
secret-scanning
Scan files, content, or recent changes for secrets such as API keys, passwords, tokens, and credentials using the GitHub MCP Server's run_secret_scanning tool.
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
mcpservers / skill
doublecheck
Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review…
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- 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.