15 skills found
netdata / netdataThe fastest path to AI-powered full stack observability, even for lean teams.
kubeshark / kubesharkeBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
open-metadata / OpenMetadataOpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
kaitranntt / ccsSwitch between Claude accounts, Gemini, Copilot, OpenRouter (300+ models) via CLIProxyAPI OAuth proxy. Visual dashboard, remote proxy support, WebSearch fallback. Zero-config to production-ready.
superagent-ai / vibekitRun Claude Code, Gemini, Codex — or any coding agent — in a clean, isolated sandbox with sensitive data redaction and observability baked in.
ankorstore / yokaiSimple, modular, and observable Go framework for backend applications.
golf-mcp / golfProduction-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
ObservedObserver / async-codeUse Claude Code / CodeX CLI to perform multiple tasks in parallel with a Codex-style UI. Your personal codex/cursor-background agent. Claude Code UI.
theognis1002 / mcp-gatewayModel Context Protocol (MCP) Gateway & Registry - Central hub for managing tools, resources, and prompts for MCP-compatible LLMs. Translates REST APIs into MCP, builds virtual MCP servers with security and observability, and bridges multiple transports (stdio, SSE, streamable HTTP).
botingw / langgraph-dev-navigatorAn opinionated development framework for building production-ready AI agents with LangGraph. It grounds AI coding assistants (Cursor, Windsurf, Cline) and guides them to use local, official documentation, ensuring reliable, secure, and observable agentic workflows.
dannySubsense / youtube-mcp-serverA comprehensive Model Context Protocol (MCP) server providing real-time YouTube Data API access for AI assistants. Features 14 functions including intelligent content evaluation with technology freshness scoring for knowledge base curation.
xynehq / jaf-pyFunctional Python agent framework with MCP support, enterprise security, immutable state, and production-ready observability for building scalable AI systems.
diegosouzapw / observeQuery and manage Observe using the Observe CLI
diegosouzapw / messRequest physical-world tasks from human executors. Use for observations, checks, actions, photos, and purchases that require physical presence.
manutej / contextComonad W operations for context extraction, meta-observation, and context-aware transformations
