~/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
82page
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
custom-agent-design skill by melodic-software/claude-code-plugins
Design custom agents from scratch using Claude Agent SDK patterns. Use when building domain-specific agents, designing agents with full SDK control, or creating specialized agents with custom tools and prompts.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
customerio-core-feature skill by jeremylongshore/claude-code-plugins-plus-skills
This skill enables seamless integration of Customer.io features for transactional messages, segments, data pipelines, and broadcasts, with ready-to-use helpers.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
customerio-hello-world skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you learn and test Customer.io by identifying a user and sending a basic hello_world event in your integration.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
customerio-primary-workflow skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps automate Customer.io primary messaging by identifying users, tracking events, and triggering campaigns across emails, push, SMS, and in-app
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
customize-sdk-hooks skill by speakeasy-api/skills
This skill helps you implement and register SDK lifecycle hooks to customize requests, headers, telemetry, and error handling across languages.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cutlass-triton skill by a5c-ai/babysitter
This skill generates optimized CUTLASS and Triton kernels, tunes configurations, and benchmarks performance to accelerate GPU GEMM and attention workloads.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Cyclops MCP Server
Manage Kubernetes applications safely by creating and updating Cyclops Modules for AI agents. Browse Cyclops MCP Server for Claude, Cursor, VS Code, and...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
d2-diagrams skill by laurigates/claude-plugins
This skill generates architecture diagrams and flowcharts from declarative D2 text, enabling rich styling, layouts, and themes with automatic rendering.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
daggr skill by gradio-app/daggr
This skill helps you design and deploy visual DAG-based AI pipelines by connecting Gradio Spaces, HuggingFace models, and Python functions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dart_print-multiple-objects skill by rodydavis/skills
This skill teaches printing multiple Dart objects to console using records, emulating console.log-style output for clearer debugging.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
dash-cog skill by openclaw/skills
This skill helps you build interactive dashboards and AI-powered web apps by connecting data sources and rendering dynamic visualizations.
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.