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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.
OfficialSkillMIT★ 40k in collectionNo key
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, build
OfficialSkillApache-2.0★ 21k in collectionNo key
Apply this pass after the technical claims and page structure are correct. The goal is clear, natural eve documentation, not a generic rewrite.
OfficialInstructionsApache-2.0★ 5.6k in collectionNo key
Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL in
OfficialSkillMIT★ 40k in collectionNo key
Configures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files. Use when analyzing, writing, or deploying alertin
OfficialSkillApache-2.0★ 21k in collectionNo key
Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 2.x NuGet packages. Helps with cases the model gets wrong without guidance — stale versions (0.x preview
OfficialSkillMIT★ 40k in collectionNo key
Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents
OfficialSkillMIT★ 3.1kNo key
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own
OfficialSkillApache-2.0★ 918 in collectionNo key
Databricks AI Runtime, the `databricks air` CLI commands for submitting and managing GPU training workloads on Databricks serverless compute. Use for: writing and submitting `databricks air` workload
OfficialSkillLink only★ 347 in collection
Add EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use this skill when writing, reviewing, or optimizing Dockerfiles, even if the user just says their image is too large, their build is slow, or they need to harden a container for production. Covers m
OfficialSkillApache-2.0★ 561 in collectionNo key
Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman collections, OpenAPI specs, and environments via Model Context Protocol (MCP)
OfficialNode.jsApache-2.0★ 323Needs a key
Azure Verified Modules (AVM) requirements and best practices for developing certified Azure Terraform modules. Use when creating or reviewing Azure modules that need AVM certification.
OfficialSkillMPL-2.0★ 894 in collectionNo key
Use this skill when exposing a Docker Agent as a server (MCP, HTTP API, A2A, ACP, or OpenAI-compatible chat), distributing an agent via an OCI registry with `docker agent share`, or measuring agent qu
OfficialSkillApache-2.0★ 561 in collectionNo key
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers class
OfficialSkillApache-2.0★ 11k in collectionNo key
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