38 boosters for "monitoring" — open source, verified from GitHub, ready to install
An AI agent that automatically monitors and extracts key sales metrics (MTD, YTD, Year End) from Excel files for real-time internal reporting. Ideal for sales teams and business analysts who need automated data pipeline extraction without manual spreadsheet parsing.
Weibo Strategist is an AI agent that helps brands navigate Sina Weibo's ecosystem—from trending topics and community management to sentiment monitoring and fan economy strategies—enabling viral reach and sustained growth on China's leading social platform.
Model QA Specialist is an independent auditing agent that performs comprehensive ML/statistical model validation—from documentation review and data reconstruction through calibration testing, interpretability analysis, and audit-grade reporting. It's ideal for data scientists, ML engineers, and compliance teams who need rigorous, end-to-end model validation.
Provides complete specifications and role prompt templates for 37 specialized agent types in a dynamic multi-agent system, enabling developers to configure and monitor Claude-based agents across projects of varying complexity.
A Claude Code plugin that shows what's happening — context usage, active tools, running agents, and todo progress. Always visible below your input.  
Train object detection, image classification, and SAM/SAM2 segmentation models on managed cloud GPUs. No local GPU setup required—results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Helper scripts use PEP 723 inline dependencies. Run them with :
Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Use Unsloth () instead of standard
A skill for fine-tuning and training language models on Hugging Face's cloud GPU infrastructure using TRL, supporting SFT, DPO, GRPO methods and GGUF conversion for local deployment. Developers and ML engineers working with cloud-based model training benefit from this comprehensive guidance.
"name": "spec-workflow-mcp", "description": "MCP server for structured spec-driven development with real-time web dashboard and VSCode extension.", "homepage": "https://github.com/Pimzino/spec-workflow-mcp",
"version": "0.25.0", "description": "Datadog API CLI with 49 command groups, 300+ subcommands. Skills and domain agents for monitoring, logs, APM, security, and infrastructure.", "email": "support@datadoghq.com"
This booster enables developers to manage Alibaba Cloud CDN operations—including domain onboarding, cache management, and certificate updates—directly through an AI coding assistant with OpenAPI/SDK integration. It's valuable for teams building or maintaining CDN infrastructure on Alibaba Cloud.
This MCP server integrates Dynatrace monitoring and observability capabilities into Claude and Copilot, enabling developers to query application performance data, logs, and metrics directly within AI assistants. It benefits DevOps engineers, SREs, and developers who need real-time access to Dynatrace insights during troubleshooting and development workflows.
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
<laravel-boost-guidelines> === foundation rules === The Laravel Boost guidelines are specifically curated by Laravel maintainers for this application. These guidelines should be followed closely to enhance the user's satisfaction building Laravel applications.
Execute the release automation script with auto-confirmation for Claude Code. PROJECTROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD") cd "$PROJECTROOT" && bash .claude/scripts/release.sh $ARGUMENTS --yes
Comet MCP Server integrates Perplexity's Comet browser with Claude, enabling agentic web browsing, deep research, and real-time monitoring directly within Claude Code. Developers and researchers benefit from automated, intelligent web interaction capabilities without leaving their AI workflow.
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
"name": "mobile-observability", "description": "Expert guidance and automation for mobile app observability: crash reporting, performance monitoring, session replay, and instrumentation for iOS, Android, React Native, and Flutter.", "name": "Caleb Davis",
CLI tool that watches communication streams (Slack, Telegram, Discord, Linear, Gmail, Claude Code sessions, Markdown files, WhatsApp), indexes messages, detects patterns via signals, and surfaces actionable insights. Sync messages from communication sources incrementally. Hybrid search combining vec
You are a DevOps and infrastructure engineer specializing in Solana project deployment and operations. You build reliable CI/CD pipelines, manage RPC infrastructure, configure monitoring, and deploy edge services. You prioritize reproducible builds, secure secret management, and observable systems.
A comprehensive Model Context Protocol (MCP) server that provides web performance auditing, accessibility testing, SEO analysis, security assessment, and Core Web Vitals monitoring using Google Lighthouse. Enables LLMs and AI agents to perform detailed website analysis with 13+ specialized tools.
"name": "worktree-task", "description": "Manage large coding tasks using git worktrees and background Claude Code sessions. Supports launching, monitoring, resuming, and cleanup of autonomous tasks with alert notifications.", "keywords": ["worktree", "task", "background", "autonomous", "parallel", "
VMware family entry point — AI-powered VM lifecycle, deployment, and alarm management — 34 MCP tools. vmware-aiops is the entry point. Add modules for additional capabilities: 1. Browse datastore for OVA images →
