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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
229page
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
app-listing skill by toilahuongg/shopify-agents-kit
This skill creates complete Shopify App Store listing content including intro, details, features, subtitle, terms, SEO, and testing steps.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
app.myshell.ai
app.myshell.ai is an AI agent in the Productivity category.
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
apple-health skill by openclaw/skills
This skill helps agents validate, configure, and securely query Apple Health exports via MCP, with schema guidance and privacy safeguards.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
apply-mantel-styles skill by sammcj/agentic-coding
This skill guides you to apply Mantel brand styles to diagrams and frontend components for consistent visuals.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
arc-compliance-audit skill by openclaw/skills
This skill provides immutable audit logging for autonomous agents, enabling tamper-evident tracking of actions, decisions, data access, and budget changes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
arc-metrics-dashboard skill by openclaw/skills
This skill records, aggregates, and visualizes operational metrics to help you monitor uptime, performance, and reliability across agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
arcanea-coding-agent skill by frankxai/arcanea
This skill turns opencode into an Arcanean creative workspace with 64 specialized agents and real-time multi-agent collaboration.
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
architecture skill by mcouthon/agents
This skill helps you document architecture and high-level system design, emphasizing interfaces, data flows, and decision rationale.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
npm / skill
ardf-sdk
Official TypeScript SDK for the ARDF (AI Resource Discovery Framework) platform
HTTPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- CLI ready
Review links
- 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.