ragcode-sse
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
162 skills found
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
Manage Fly.io edge infrastructure: deploy apps, scale machines, configure volumes, secrets, and networking via the Fly.io Machines API. Python-based, zero-dependency.
A configuration and usage guide for the XRequest tool within the Ant Design X SDK, streamlining network integration for streaming AI interfaces.
Implement production-grade observability for Istio and Linkerd service meshes, including distributed tracing, metric dashboards, and golden signal monitoring.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Reference for all MCP tools exposed by the CCOS server, enabling capability discovery, session management, and governed RTFS execution for autonomous agent workflows.
Safely hide services from the Coolify documentation listing while preserving existing pages for SEO, bookmarks, and historical reference.
Audit outbound network requests and detect data exfiltration patterns in OpenClaw skills to ensure secure outbound communication.
Manage CI/CD workflows, Docker containerization, and infrastructure configurations for the multi-chain crypto wallet system.
Advanced multi-language debugging support with stack trace analysis, runtime error triage, and automated diagnostic tools for containerized and distributed systems.
Diagnose and debug Agent-to-Agent (A2A) communication, including orchestrator routing, transport connectivity, agent status, and log analysis for multi-agent systems.
Manage Vibesafe units to scan, generate, test, and verify AI-written code with cryptographically-secure hash-locked checkpoints.