Skill pack for Claude Code that helps you monitor and troubleshoot your K8s clusters superintelligently

The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️

Watch a Claude Code or Codex session as a live flow graph, in your terminal or your browser.

Skills, prompts, and instructions for building AI agents on top of Dynatrace production context

Composable agent runtime with enforced isolation boundaries

See what Claude Code and Codex actually send to the API — and what each part costs.

OpenTelemetry skills and reference documentation for AI coding assistants - instrumentation patterns, telemetry quality guides, and Dash0 integration

htop for AI coding agents — monitor token usage, costs, and workflows across Claude Code, Cursor, Kiro, Codex, and Copilot

Tools for AI agents to test, fix and optimise your codebase

Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.

🫖 Status page with uptime monitoring & API monitoring as code 🫖

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Artifact layer for agent-human representations. One API call, one SVG. Zero dependencies, renders in any markdown.

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.

The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.

Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (Rasterio, GeoPandas, PyProj, etc.) to give AI agents catalog discovery, metadata intelligence, and raster/vector processing with built-in reasoning guidance and reference resources.

Cross-platform .NET performance engineering skill for coding agents, covering CPU, memory, GC, benchmarking, concurrency, startup, native profiling, GPU rendering, and production diagnostics on macOS, Windows, and Linux.

Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.

Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.

Supercharge your Claude Code CLI experience with a powerful statusline that displays key session metrics (Git state, context usage, model info and cost) at a glance — minimal setup, maximum insight.

Free, local tool to track AI coding token usage and cost across 37 tools and agents (Claude Code, Cursor, Codex, Gemini and more), by model, project, and task. npx codeburn

Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.

The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.

Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.