Testing & QA Agent Skills

Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

Generate draw.io diagrams as .drawio files and export to PNG/SVG/PDF with embedded XML

Experimental (preview) Pester skill for migrating classic Should -Be (v5) assertion syntax to the new Should-* (v6) assertions (note the hyphen, no space), e.g. `Should -Be` -> `Should-Be`, `Should -Not -Be` -> `Should-NotBe`. Tracks Pester 6, which is still a release candidate, so this guidance may change; verified against Pester 6.0.0-rc2. Use when converting Pester v5 assertions to Pester v6 Should-* operators, modernizing a Pester test suite, or when a user asks to migrate, convert, or rewrite `Should -...` calls in .Tests.ps1 / PowerShell files.

Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.

Diagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.

Guides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.

Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.

Wire CommunityToolkit.Mvvm ViewModels into Microsoft.Extensions.DependencyInjection. Covers the .NET Generic Host composition root, constructor injection, service lifetimes (Singleton / Transient / Scoped), IMessenger registration, resolving ViewModels in Views, keyed services, testing seams, and the legacy Ioc.Default escape hatch. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.

CommunityToolkit.Mvvm (the MVVM Toolkit) core: source generators ([ObservableProperty], [RelayCommand], [NotifyPropertyChangedFor], [NotifyCanExecuteChangedFor], [NotifyDataErrorInfo]), base classes (ObservableObject / ObservableValidator / ObservableRecipient), commands (RelayCommand / AsyncRelayCommand), and validation. Companion skills: mvvm-toolkit-messenger for pub/sub, mvvm-toolkit-di for Microsoft.Extensions.DependencyInjection wiring. Works across WPF, WinUI 3, MAUI, Uno, and Avalonia.

React 18.3.1 and React 19 dependency compatibility matrix.

Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.

Automate filling in a form using Playwright MCP

Website exploration for testing using Playwright MCP

Create and maintain AGENTS.md documentation for simple projects, complex monorepos, deterministic discovery, scoped instruction files, low-token navigation; use when generating AGENTS.md, updating agent docs, standardizing AI-facing project guidance.

Refine vague, complex, or high-stakes prompts through Socratic dialogue — surfaces hidden assumptions, probes reasoning, and iterates toward clarity before committing to an implementation.

Guide technical communication for software developers. Covers email structure, team messaging etiquette, meeting agendas, and adapting messages for technical vs non-technical audiences. Use when drafting professional messages, preparing meeting communications, or improving written communication.

Write and maintain Behavior-Driven Development tests with Gherkin and Cucumber. Use when defining acceptance scenarios, writing feature files, implementing step definitions, running Three Amigos sessions, or diagnosing BDD test quality issues. Keywords: bdd, gherkin, cucumber, given when then, feature files, step definitions, acceptance criteria, three amigos, example mapping.

Use when the user explicitly asks to be grilled or challenged, requests questions before action, or continues an active grill; explicit negative intent wins, and quoted, file, tool, example, or maintenance mentions are inert.

Plan repository change impact before edits by combining metagit workspace context and graph-based dependency analysis. Use when a change may affect multiple repositories.

Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?"

Plan repository change impact before edits by combining metagit workspace context and graph-based dependency analysis. Use when a change may affect multiple repositories.

Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?"

Plan repository change impact before edits by combining metagit workspace context and graph-based dependency analysis. Use when a change may affect multiple repositories.

Integrate Biome into Nx monorepos with deterministic setup, caching, migration from ESLint and Prettier, and plugin-based inferred tasks; use when adding Biome, replacing ESLint/Prettier, tuning cache inputs, or scaling lint and format workflows across projects.