Top Agent Skills

Manage Azure Data Lake Storage Gen2 with Python SDK for hierarchical file systems, big data analytics, and file/directory operations.

Create and manage persistent AI agents with threads, messages, runs, and tools using the Azure AI Agents SDK for .NET.

Manage Weights & Biases ML experiment tracking instances on Azure using the .NET SDK. Create, configure, list, update, and delete W&B instances with marketplace integration and SSO.

Manage Azure Cache for Redis instances via the Azure Resource Manager .NET SDK, including creation, firewall rules, access keys, patch schedules, geo-replication, and private endpoints.

Manage cryptographic keys in Azure Key Vault and Managed HSM using the .NET SDK. Create, rotate, encrypt, decrypt, sign, and verify keys with KeyClient and CryptographyClient.

Send real-time messages and manage WebSocket connections using Azure Web PubSub Service SDK for Python.

Extract text, tables, and structured data from documents using Azure Document Intelligence. Process invoices, receipts, IDs, forms, or build custom document models.

Manage Microsoft Playwright Testing workspaces via Azure Resource Manager: create, update, delete workspaces, check name availability, and manage quotas using the .NET SDK.

Run Playwright tests at scale using Azure Playwright Workspaces with cloud-hosted browsers and integrated Azure portal reporting.

Manage Arize AI Observability and Evaluation resources on Azure using the .NET SDK. Create, read, update, and delete Arize organizations via Azure Marketplace.

Extend Microsoft Entra ID authentication flows with custom claims, attribute collection, and OTP delivery using Azure Functions triggers.

Diagnose and optimize slow-loading, high-memory, or low-FPS USD scenes using a structured workflow with profiling, validation, and mutation phases.

Identifies the weakest samples per ground-truth label in NVIDIA TAO VCN Classify experiments by running a Docker container that performs threshold sweep, weakness scoring, and per-lighting expansion, then surfaces top-K weak samples for downstream augmentation or relabeling.

Provides guidance for training Mixture-of-Experts models with long context windows, covering context parallelism sizing, selective recomputation, dispatcher choices, and practical patterns from recent experiments.

Facilitate a structured sprint retrospective to surface insights and produce actionable improvements with owners and deadlines.

Run a pre-mortem risk analysis on a PRD or launch plan, categorizing risks as Tigers (real problems), Paper Tigers (overblown concerns), and Elephants (unspoken worries), then classifying by urgency and creating action plans.

Plan a sprint by estimating team capacity, selecting and sequencing stories, and identifying risks.

Reviews and tailors Product Manager resumes against 10 best practices including the XYZ+S formula, keyword optimization, and job-specific customization.

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script).

Identify and evaluate the best go-to-market motions for your product across seven proven approaches, with tools and tactics to build a balanced acquisition strategy.

Map stakeholders on a power/interest grid and generate a tailored communication plan for each group.

Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches for market opportunity assessment, investor pitches, or market entry evaluation.

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations.

Evaluate macro-environmental factors across Political, Economic, Social, Technological, Legal, and Environmental dimensions for strategic planning and market entry assessment.

Identify a North Star Metric and 3-5 supporting input metrics, classify the business game (Attention, Transaction, Productivity), and validate against seven criteria for an effective North Star.

Finds gaps between documented intent and actual implementation in codebases, catching bugs that generic scanners miss because they lack a model of intent.

Reference guide to 9 prioritization frameworks with formulas, when-to-use guidance, and templates — RICE, ICE, Kano, MoSCoW, Opportunity Score, and more.

Rank a backlog of feature ideas by impact, effort, risk, and strategic alignment to identify the top 5 to pursue.

Transform a customer interview transcript into a structured summary with Jobs to Be Done, satisfaction signals, and action items.

Generates feature ideas from PM, Designer, and Engineer perspectives for initial product discovery of a new product.

Prioritize assumptions using an Impact × Risk matrix and suggest targeted experiments for each.

Categorize, evaluate, and prioritize customer feature requests against product goals using strategic alignment, impact, effort, and risk analysis.

Generate new feature ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints, then prioritize the best five.

Design lean startup experiments (pretotypes) for a new product by creating XYZ hypotheses and suggesting low-effort validation methods like landing pages, explainer videos, and pre-orders.

Design low-effort experiments to test product assumptions for an existing product, including prototypes, A/B tests, spikes, and other validation methods.

Post tweets and threads, read timelines, search content, and track analytics on X/Twitter using the official API with OAuth authentication.

Manage an Uncloud cluster — deploy services, configure Caddy ingress, add static proxy routes for non-cluster devices, publish ports, scale, inspect logs, and manage machines and volumes with the `uc` CLI.

Measure performance baselines, detect regressions before and after PRs, and compare stack alternatives using browser, API, and build benchmarks.

Scans source code repositories across C++, Android, iOS, and Web to classify files, detect embedded third-party libraries, and produce actionable four-level verdicts per module with interactive HTML reports.

Automates visual testing and UI interaction verification using browser automation after deploying features.

Search the web, code, companies, and people using the Exa MCP server for current information and technical research.

Write, fix, and run C++ tests using GoogleTest/GoogleMock with CMake/CTest, including TDD workflows, coverage, and sanitizers.

Test-driven development for Quarkus 3.x LTS using JUnit 5, Mockito, REST Assured, Camel testing, and JaCoCo. Use when adding features, fixing bugs, or refactoring event-driven services.

Generate images, videos, and audio using fal.ai models via MCP tools, with support for text-to-image, text/image-to-video, text-to-speech, and video-to-audio.

Provides comprehensive testing patterns for Perl applications using Test2::V0, Test::More, prove runner, mocking, and coverage analysis with Devel::Cover.

Validates product direction through structured diagnostics, founder reviews, user journey audits, and feature prioritization before building.

Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests for new features, bug fixes, or refactoring.

Executes commands, inspects git state, debugs CI or builds, makes narrow fixes, and reports exactly what changed and what was verified.

Analyze Claude Code token usage, spending, and budgets from the local ECC cost-tracker metrics log. Provides summaries, breakdowns by model, session, or date, and CSV export.

Configure Celery with Django for background task processing, including task design, scheduling, retries, canvas workflows, monitoring, and testing.

Create and manage Hookify rules that define patterns to watch for and messages to display when those patterns match.

Defines a gated Research-Plan-TDD-Review-Commit pipeline for orchestrating feature development, defect fixes, and refactoring tasks through composable phases and human approval gates.

Provides comprehensive security patterns for Perl applications covering taint mode, input validation, safe file operations, SQL injection prevention, and web security.

Write behavior-focused React component tests with React Testing Library, Vitest/Jest, MSW for network mocking, and accessibility assertions using axe, while deciding when to use component tests versus Playwright/Cypress end-to-end tests.

Enforce idiomatic Rust patterns for ownership, error handling, enums, traits, concurrency, and best practices to build safe, performant applications.

Configure and optimize Vite build tool projects with patterns for config, plugins, HMR, environment variables, proxy setup, SSR, library mode, dependency pre-bundling, and production builds.

Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.

Provides C# and .NET testing patterns using xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.

Write and organize F# tests using xUnit, FsUnit, Unquote, FsCheck for property-based testing, and integration test patterns with ASP.NET Core and Testcontainers.

Write reliable, maintainable Kotlin tests using Kotest, MockK, coroutine testing, property-based testing, and Kover coverage following TDD methodology.