~/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
291page
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
hummingbot skill by hummingbot/skills
This skill faithfully reproduces Hummingbot CLI commands via Hummingbot API to enable AI agents to manage trading workflows with V2 strategies.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hurttlocker-cortex skill by openclaw/skills
This skill provides persistent local memory for agents with Ebbinghaus decay, hybrid search, and MCP tools to prevent context loss.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hyperstack skill by openclaw/skills
This skill helps AI agents maintain a controlled knowledge graph memory across tools, enabling time-travel debugging and zero-cost, portable context.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hypothesis_generation skill by vuralserhat86/antigravity-agentic-skills
Bilimsel hipotez oluşturma, deney tasarımı ve test metodolojisi rehberi.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ichiro-mind skill by openclaw/skills
This skill unifies memory layers from hot to archive, enabling persistent, intelligent recall, learning, and hygiene for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
ICON mcp v105 MCP Server - traia-io/icon-mcp-v105-mcp-server
Provides access to ICON mcp v105 endpoints via MCP for AI agents to interact with the API.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
identity-trust skill by openclaw/skills
This skill helps AI agents manage decentralized identities and verifiable credentials, enabling secure self-sovereign authentication and trust orchestration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
idx-cma-report skill by openclaw/skills
This skill generates defensible CMA reports and interactive value views from IDX data, helping agents estimate ranges and present comps confidently.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
implement skill by yonatangross/orchestkit
This skill enables rapid feature implementation with parallel subagents and scope-driven reflection to accelerate development from conception to tests.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Imprompt ai
Imprompt ai is an AI agent in the DIY/Build Your Own category.
MCPHTTPCLI
- Fit
- 61 / 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.