Top Agent Skills

Generates a comprehensive README.md by analyzing project documentation files in .github/copilot and copilot-instructions.md.

Generate a complete, production-ready Model Context Protocol server project in Swift using the official MCP Swift SDK.

Generate TypeSpec API plugin files for Microsoft 365 Copilot, defining REST operations, authentication, and Adaptive Cards.

Update an existing implementation plan file with new or updated requirements for features, refactoring, package upgrades, design, architecture, or infrastructure.

Reviews AWS infrastructure as code and deployed resources against the Well-Architected Framework, generating findings and GitHub issues for remediation.

Generates a complete Kotlin MCP server project with Gradle structure, dependencies, and implementation using the official kotlin-sdk library.

Update Azure Verified Modules (AVM) to their latest versions in Bicep files, with support for non-breaking changes and manual review for breaking changes.

Investigate production incidents using CloudWatch Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns.

Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.

Review C#/.NET code for design pattern implementation and suggest improvements without making changes.

Creates a declarative agent for Microsoft 365 Copilot by integrating an MCP server with authentication, tool selection, and configuration.

Evaluates Power BI data model architecture, relationships, storage modes, and performance to identify optimization opportunities and ensure adherence to best practices.

Encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, and build multi-step media processing pipelines using Transloadit's cloud infrastructure.

Creates Dockerfiles and configuration files to containerize ASP.NET .NET Framework projects for Windows Docker containers.

Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM).

Executes a predefined implementation plan step by step, updating progress inline and running build or test commands.

Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.

Scaffolds a Spring Boot Java project with Maven, PostgreSQL, Redis, MongoDB, and Docker Compose.

Optimize Qdrant vector search performance through indexing strategies, query tuning, memory management, and hardware considerations.

Guides optimization of Qdrant query latency by tuning segments, memory, quantization, and search parameters.

Generate a complete, production-ready MCP server project in TypeScript with tools, resources, and proper configuration.

Creates detailed technical implementation plans for features based on a Feature PRD, including system architecture, database schema, API design, and frontend component hierarchy.

Refactors a Python script into a beginner-friendly project with clear comments and a complete markdown tutorial.

Generate production-ready Dataverse SDK solutions with architecture recommendations, data models, and implementation code for common business use cases.

Reminds the agent to act as an interactive programmer using a live REPL for exploration and modification, with structural editing and todo list management.

Analyze existing code files to generate a project-specific coding standards document, with options for templates, README insertion, and inconsistency detection.

Generate tailored AI agent instruction files for VS Code Copilot and other coding agents, using AgentRC to analyze your codebase and produce flat or nested instruction files with optional per-area scoping.

Refactors Java methods by removing unused or redundant parameters to improve readability and maintainability.

Generates customizable prompts for scanning codebases to identify and document high-quality code exemplars, supporting multiple programming languages and configurable analysis depth.

Automates filling in a Microsoft Forms form using Playwright MCP, with a review step before submission.

Generate complete Power Platform custom connectors with Model Context Protocol integration for Copilot Studio, including schema generation, validation, troubleshooting, and certification preparation.

Optimizes Qdrant query performance for large limits across multiple shards by using Poisson-distributed subsampling to reduce inter-shard data transfer.

Generate structured Architectural Decision Record (ADR) documents with standardized front matter, consequences, and alternatives for AI-optimized decision documentation.

Monitor Power Automate flow health, failure rates, and tenant assets through the FlowStudio MCP cached store with governance metadata and remediation hints.

Systematically diagnose and resolve performance issues in Power BI models, reports, and queries using a structured troubleshooting methodology.

Adds GraalVM native image support to Java applications by analyzing the project structure, configuring the build tool, and iteratively resolving build errors.

Suggest relevant GitHub Copilot Custom Agents from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates and identifying outdated agents.

Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills and identifying outdated ones.

Guides selection of Qdrant search strategies including hybrid search, reranking, relevance feedback, MMR, and discovery APIs to improve retrieval quality.

Generates a comprehensive copilot-instructions.md file that guides GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns.

Analyzes differences between two project versions to generate precise migration instructions for GitHub Copilot, enabling consistent code transformations during technology migrations, refactoring, or framework upgrades.

Creates a formal, AI-optimized specification for an existing GitHub Actions CI/CD workflow, focusing on behavior and requirements rather than implementation details.

Suggests relevant GitHub Copilot instruction files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing instructions and identifying outdated ones.

Generates detailed, technology-agnostic implementation blueprints by analyzing project architecture, technology stacks, and data flow patterns.

Creates a GitHub issue from a specification file using a feature request template, checking for existing issues first.

Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan.

Guides scaling Qdrant for multi-tenant workloads using payload partitioning, custom sharding, and tiered multitenancy.

Guides vertical scaling decisions for Qdrant vector databases, covering when to scale up, how to resize nodes in Qdrant Cloud or self-hosted deployments, RAM sizing formulas, and when to switch to horizontal scaling.

Scaffolds an xUnit integration test project for validating Oracle-to-PostgreSQL database migration behavior in .NET solutions, including transaction-rollback base class and seed data manager.

Guides scaling Qdrant vector search with time-based data rotation using shard rotation, collection rotation, or filter-and-delete strategies.

Generates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations, producing DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems.

Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations, analyzing a project to identify repositories, DAOs, and service layers that interact with the database, then producing a structured testing plan.

Diagnoses and reduces Qdrant memory usage by analyzing resident memory, page cache, and providing optimization techniques like quantization, on-disk storage, and async_scorer.

Diagnoses and resolves slow Qdrant indexing and data ingestion by optimizing batching, sharding, HNSW parameters, and payload indexing strategies.

Animate React and Next.js components with GSAP using the useGSAP hook, refs, and context-safe patterns for automatic cleanup and SSR compatibility.

Provides GSAP utility functions for math, value mapping, randomization, snapping, and unit parsing in animations.

Register and use GSAP plugins including ScrollToPlugin, ScrollSmoother, Flip, Draggable, Inertia, Observer, SplitText, ScrambleText, SVG plugins, and custom easing plugins.

Optimize GSAP animations for smooth 60fps by preferring transforms, avoiding layout thrashing, using will-change, batching reads and writes, and following best practices for stagger, quickTo, and ScrollTrigger performance.

Create scroll-driven animations with pinning, scrubbing, and trigger-based timelines using GSAP ScrollTrigger.

Deploy and manage projects on Vercel using token-based authentication, without interactive login.