MCP App StoreMCP App Store
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Guides setup and best practices for Datadog APM, logs, metrics, synthetics and RUM to implement full-stack monitoring, tracing, and cost optimization in product
Provides step-by-step guidance and operational best practices for integrating Datadog into production systems. Includes agent installation (Docker, Kubernetes/Helm), language-specific APM instrumentation examples (Python, Node.js), tagging strategy, log and metric collection, and cost-control recommendations.
Use this skill when you need to set up production-grade observability: distributed tracing across microservices, centralized log aggregation, custom metrics and dashboards, synthetics or RUM, or when you need to optimize Datadog billing and alerting hygiene. Do not use for purely open-source stacks where Prometheus/Grafana are preferred.
Best suited for agents that provide infrastructure and ops guidance or runbook automation (Claude Code-style assistants, operations automation agents).
This skill has not been reviewed by our automated audit pipeline yet.
WordPress Block Editor & Full Site Editing (FSE)
Guidance for building block themes and custom Gutenberg blocks using theme.json, HTML templates, and server-rendered blocks for WordPress 6.7+.
Hono JSX (server-side rendering)
Server-side JSX renderer for Hono: async components, Suspense streaming, head hoisting and error boundaries for fast SSR and HTML generation.
Axum (Rust) — Production Web APIs
Patterns and best-practices for building production-ready Rust HTTP APIs with Axum: typed handlers, extractors, middleware, error handling, tracing, graceful sh
Go CLI (Cobra + Viper)
Guides building production-quality Go CLIs using Cobra for commands and Viper for configuration, with patterns for flags, completion, testing and best practices
AI Session Compression Techniques
Techniques and patterns to compress multi-turn AI conversations (summaries, RAG, hierarchical summarization) to reduce token costs and preserve key information.
MPM Orchestration Demo
Canonical demo of the Command → Agent → Skill orchestration pattern: shows preloaded vs dynamic skill invocation, with a code-review example and templates.
Database Migration Patterns
Guided, safe patterns for evolving database schemas in production with decision trees, tooling examples, and rollback strategies.
Python asyncio
Guides for writing concurrent I/O-bound Python code with async/await: event loops, tasks, aiohttp, async DB patterns, and FastAPI async endpoints.
Hono (core) - JavaScript Framework Skill
Skill entry for Hono core framework (JavaScript) — metadata missing in source; flagged as failed.
Svelte 5 Runes for Static Sites
Implements hydration-safe state management patterns for Svelte 5 runes when using SvelteKit adapter-static (SSG/SSR).
Yielding Bear — Unified LLM Routing
A unified LLM routing API that automatically routes requests to the cheapest capable model across providers to reduce inference cost by ~60-80%.
AWP (Agent Work Protocol)
Tooling and scripts for onboarding, staking, allocation, and managing agents on the AWP network (Base/Ethereum/Arbitrum/BSC). Includes safe, opt-in daemon and r
Sandbox0 Integration
Guidance and templates for integrating Sandbox0 sandboxing into AI agents — CLI/SDK patterns, templates, volumes, network policy, and deployment choices.
Cost Tracker
Monitor agent session costs, set budget alerts, and get actionable token-spend optimizations to keep multi-session workflows within budget.
Canary — Post-Deploy Visual Monitor
Run a short post-deploy monitor that captures screenshots, checks console errors, and compares performance against baselines to detect regressions and page fail
Monitoring Stack Deployer
Deploy and configure production-ready monitoring stacks (Prometheus, Grafana, Datadog) with collectors, dashboards, and alerting rules for Kubernetes, Docker, o
Azure External Attack Surface Management
Provides expert guidance for Azure External Attack Surface Management (EASM): quotas, configuration, integrations, and exporting inventory to analytics platform
Cross-Project Analytics
Query local, privacy-safe cross-project analytics to report on agent, skill, hook, and team performance; replay sessions and estimate token costs.