Migrate OpenClaw agents across platforms and servers, preserving identity, memory, config, and skills for deployment, backup, syncing, and upgrades.
Deploy a lightweight status API that exposes your OpenClaw bot's runtime health, service connectivity, cron jobs, skills, system metrics, and more. Use when setting up a monitoring dashboard, health e
Complete self-hosting and homelab operating system. Deploy, secure, monitor, and maintain self-hosted services with production-grade reliability. Use when se...
Azure Foundry image generation skill for OpenClaw; generates images via a Foundry deployment and returns image bytes or URLs.
100+ expert prompts to turn OpenClaw into an AI coworker across 44 professions. Instantly deploy agents for tech, business, healthcare, legal, media, and more.
The complete operating system for building software with AI. From first prompt to production deployment — prompting frameworks, architecture patterns, testin...
Manage the MoltBot A2A Hub — register agents, search the registry, relay messages, and stream responses. Use when working with the A2A agent-to-agent protocol hub deployed at a2a-hub.fly.dev.
perform first-pass security checks for openclaw deployments by registering the client, checking whether the installed clawscan package is outdated, checking...
Calculate conservative and alternative sports betting odds with expected value and optimal bet sizing. Support profit and all-stake boosts, correlation adjustments, and deploy easily on Smithery or ru
Build, validate, and deploy multi-agent AI solutions on the ADAS platform. Design skills with tools, manage solution lifecycle, and connect from any AI environment via stdio or HTTP.
Infrastructure automation with Ansible. Use for server provisioning, configuration management, application deployment, and multi-host orchestration. Includes playbooks for OpenClaw VPS setup, security
Build, optimize, and operate production Next.js apps with best practices for architecture, data fetching, caching, rendering, testing, deployment, and observ...
A Dockerized Python MCP server that bridges your local AI (e.g., Claude Desktop, etc) with the QuantConnect API—empowering you to create projects, backtest strategies, manage collaborators, and deploy
Automate deployments, manage infrastructure, and build reliable CI/CD pipelines.
Collect and structure project portfolio information through a guided conversation flow. Integrate with GitHub repositories and manage data via RESTful API endpoints. Deploy easily with Docker and Smit
Commit and push local project changes to GitHub, with optional repo creation and deployment hints.
Build and deploy ML demo interfaces with proper state management, queuing, and production patterns.
Publish HTML content to a live URL instantly without requiring accounts or API keys. Deploy landing pages, portfolios, and reports that support CSS, JavaScript, and multi-page structures. Manage sites
Backtest, deploy, and monitor trading bots on Hyperliquid. Supports Grid, DCA, and Spot-Perp Arbitrage strategies across Native Perps, Spot markets (USDC/USDH), and HIP-3 sub-DEXes.
Generate HIPAA compliance checklists, risk assessments, and audit frameworks for healthcare AI deployments to ensure data security and regulatory adherence.
Deploy and troubleshoot Zigbee mesh networks for home automation.
MCP server for the Tolk smart contract compiler on TON blockchain. Compile, syntax-check, and generate deployment deeplinks for TON contracts directly from AI assistants.
Interact with Docker-deployed Xunlei to submit magnet links, monitor tasks, and prioritize main content downloads with intelligent filtering.