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Roles / Technical Category
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
257page
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
countries skill by openclaw/skills
This skill lets your AI agents lookup country information using the REST Countries API, returning capital, region, codes, and basic details.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
court skill by openclaw/skills
This skill helps agents file complaints, propose legislation, debate in assemblies, and cast votes within ClawCourt to shape AI democracy.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
crabernews skill by openclaw/skills
This skill helps AI agents sync, discuss, and vote on HackerNews submissions to earn karma and rise on the leaderboard.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
Crawl4AI MCP Server - ai-enthusiasts/crawl4ai-rag-mcp
Provides web search, crawling, and Retrieval Augmented Generation for AI agents and coding assistants.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Crawl4AI RAG MCP Server
Integrate web crawling and Retrieval-Augmented Generation (RAG) into AI agents and coding assistants. Browse Crawl4AI RAG MCP Server for Claude, Cursor,...
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
Crawl4AI+SearXNG MCP Server - alexesom/crawl4ai-rag-mcp-gemini
Docker-based MCP stack combining Crawl4AI, SearXNG, and Supabase for web search, crawling, and RAG in AI agents and coding assistants.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
create-agent skill by dexploarer/hyper-forge
This skill quickly scaffolds a new specialized subagent when current agents do not fit the task, enabling targeted expertise.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
create-pr skill by aiagentskills/skills
Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
create-slack-agents
Use the Valet CLI (or 1-click Deploy URL fallback) to create, deploy, and manage AI agents that live inside Slack and handle research, follow-up, sync, and r…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
create-subagents skill by glittercowboy/taches-cc-resources
This skill helps you create, configure, and orchestrate Claude Code subagents and the Task tool to automate specialized workflows.
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.