15 boosters for "metrics" — 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.
Test Results Analyzer is an AI agent that transforms raw test data into actionable quality insights through comprehensive metrics analysis and strategic reporting. QA engineers, test managers, and development teams use it to accelerate test result evaluation and drive continuous improvement.
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 :
Trackio is an experiment tracking library for logging and visualizing ML training metrics. It syncs to Hugging Face Spaces for real-time monitoring dashboards. Use in your training scripts to log metrics: → See references/logging_metrics.md for setup, TRL integration, and configuration options.
Trackio is an ML experiment tracking library that integrates with Hugging Face to log metrics, visualize training progress, and trigger alerts during model development. It's useful for ML engineers and researchers who need real-time monitoring and experiment management.
Universal code quality tool supporting 70+ linters for 40+ languages via qlty CLI.
This Cursor rules booster provides developers with standardized patterns for data fetching using tRPC and real-time SSE, including server/client component examples and best practices for React Query and Prisma integration.
"name": "open-academic-paper-machine", "description": "Open Academic Paper Machine — Autonomous academic paper production system with idea evaluation gate and paper-vs-code audit. NEW in v6.4: /audit-paper command and audit-engine skill — static audit of a paper's empirical claims (datasets, models,
"name": "wicked-garden", "description": "AI-Native SDLC \u2014 the complete software development lifecycle as a single Claude Code plugin. 14 domains covering code intelligence, delivery metrics, persistent memory, workflow orchestration, brainstorming, on-demand personas, and 80 specialist agents a
Growth Hacker is a proactive agent that combines marketing, product, and data analysis to optimize user acquisition and viral loop design. It's essential for product managers, founders, and growth teams seeking rapid scaling strategies.
An MCP server that analyzes Webflow sites for SEO, structure, performance metrics, and user touchpoints using browser automation. Useful for Webflow designers, developers, and agencies seeking automated site auditing and analysis.
A DevOps agent that automates Docker containerization, deployment pipelines, and infrastructure security across Railway, Cloud Run, and other platforms. Benefits engineers and DevOps practitioners who need to standardize builds, manage secrets safely, and maintain observability.
"id": "ai.adramp/google-ads", "name": "Google Ads", "description": "Google Ads MCP server — manage campaigns, keywords, and metrics."
Heuristic scoring (no AI key configured).
CGM Analyzer is a diabetes management tool that processes continuous glucose monitor data from multiple devices, calculates clinical metrics (TIR/TAR/TBR), generates visualizations, and provides AI-powered recommendations. It benefits diabetes patients, healthcare providers, and developers building glucose management applications.
