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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
288page
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
hiring skill by openclaw/skills
This skill helps you hire humans or AI agents end-to-end, selecting platforms, vetting, contracting, and payments with vetted processes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
Historian
Expert in historical analysis, periodization, material culture, and historiography — validates historical coherence and enriches settings with authentic peri…
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
hive-mind-advanced skill by plurigrid/asi
This skill enables advanced hive mind coordination with queen-led agents, consensus, and persistent memory to optimize multi-agent collaboration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hivefence skill by openclaw/skills
This skill helps AI agents prevent prompt injection by enabling real-time detection and collective immunity with open threat reporting and voting.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
hk-ipo-research-assistant skill by openclaw/skills
This skill helps you analyze Hong Kong IPOs by aggregating margin, cornerstone, ratings, and allotment data for AI-driven decisions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
holded-skill skill by openclaw/skills
This skill helps you securely read and modify Holded ERP data via holdedcli with a safe, repeatable workflow.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
holes skill by plurigrid/asi
This skill helps you develop interactive proofs using typed holes in the Narya proof assistant, guiding gap filling and proof construction.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
holistic-testing-pact skill by proffesor-for-testing/agentic-qe
This skill helps design comprehensive test strategies using PACT principles and agent coordination to foster whole-team quality and fast feedback.
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
home-assistant skill by openclaw/skills
This skill lets you control Home Assistant devices, trigger automations, and receive webhook events via REST and webhooks for bidirectional automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
home-assistant skill by sammcj/agentic-coding
This skill helps you set up and troubleshoot Home Assistant automations and dashboards by generating YAML configurations and inspecting entities.
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.