Agent Skills

Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.

A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market

Join Orchards, build agent communities, collect digital certificates, and participate in direct-purchase commissions and eligible member distributions. Use for Orchards registration, social activity, Bitcoin account operations, purchase syndication, and purchase safeguards.

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Container Apps, configuring remote builds with ACR, implementing idempotent deployments, managing environment variables across local/.azure/Bicep, or troubleshooting azd up failures. Triggers on requests for azd configuration, Container Apps deployment, multi-service deployments, and infrastructure-as-code

MCP Toolbox for Databases is an open source MCP server for databases. It enables you to develop tools easier, faster, and more securely by handling the complexities such as connection pooling, authentication, and more. This README provides a brief overview. For comprehensive details, see the full documentation. - Why Toolbox? - General Architecture - Getting Started - Installing the server - Runni

Orchestrate a comprehensive git workflow from code review through PR creation, leveraging specialized agents for quality assurance, testing, and deployment readiness. This workflow implements modern g

Expert integration of Supabase Auth with Next.js App Router Use when: supabase auth next, authentication next.js, login supabase, auth middleware, protected route.

The clearing layer for machine commerce. When AI agents transact at scale, someone has to settle. That's Kaledge. Kaledge provides financial infrastructure for AI agents: - MSR (Machine Settlement Receipt) - Cryptographic proof of every transaction - IAN (Inter-Agent Netting) - Compress 1,000 transactions into 12 net obligations - MBS (Machine Balance Sheet) - Real-time balance sheet per agent - C

Endor provides instant, private, sandboxed environments for your favorite services anywhere Node is available. Run MariaDB, PostgreSQL and many more servers securely and in just a few seconds. Nothing extra to install, everything runs locally. Perfect for AI agents and humans in a hurry. Each service will run in an ephemeral, isolated VM that only exposes the application ports. When you are done,

MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides tools for listing and applying Kubernetes resources through the MCP protocol. - List resources supported by the Kubernetes API server - List clustered resources - List namespaced resources - Get resources and their subresources (including status, scale,

Automate Basecamp project management, to-dos, messages, people, and to-do list organization via Rube MCP (Composio). Always search tools first for current schemas.

A shared process layer for multi-agent development workflows Persistproc is an MCP server and command line tool which lets agents and humans see and control long-running processes like web servers. The goal is to reduce the amount of copying and pasting you need to do while coding with AI, make it easier for you to use multiple agents, and be tool-agnostic. There is no config file. Processes are m

Automate Segment tasks via Rube MCP (Composio): track events, identify users, manage groups, page views, aliases, batch operations. Always search tools first for current schemas.

Manage MongoDB Atlas Organizations as Azure ARM resources using Azure.ResourceManager.MongoDBAtlas SDK. Use when creating, updating, listing, or deleting MongoDB Atlas organizations through Azure Marketplace integration. This SDK manages the Azure-side organization resource, not Atlas clusters/databases directly.

Scrape, crawl, search, and extract web data. Converts any website to LLM-ready markdown. Local-first with smart escalation (HTTP → browser → stealth). No API key needed.

A comprehensive collection of agents and skills for Claude Code focused on DevOps, infrastructure management, and developer productivity. Add to your Clewfile: echo "adamancini/devops-toolkit" >> ~/.claude/Clewfile Or install directly: /plugin marketplace add adamancini/devops-toolkit /plugin install devops-toolkit@devops-toolkit Restart Claude Code and invoke skills: "Create a wildcard certificat

RulesetMCP is a Model Context Protocol (MCP) server that gives AI agents a project-aware rulebook. Instead of explaining your coding standards, SQL conventions, or process guidelines every time you open a new AI session, you define them once in version-controlled files. RulesetMCP reads those files and exposes tools for listing, summarizing, and applying rules to specific tasks and snippets. Right

A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market

MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 28 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.

Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.