Advanced Java testing with TestNG covering data providers, parallel execution, test groups, XML suite configuration, listeners, soft assertions, and dependency management.

Find timezone-related bugs in date handling, scheduling, and display logic by testing across multiple timezones and edge cases like DST transitions.

End-to-end type-safe API testing with tRPC covering router testing, middleware testing, subscription testing, and client-server integration testing patterns

Testing patterns for Turborepo and pnpm monorepos covering workspace dependency testing, affected package detection, parallel test execution, and shared test utilities

Testing patterns for Vercel Edge Functions, middleware, and serverless functions covering local testing, edge runtime simulation, and deployment verification.

Visual regression testing skill using Playwright, covering screenshot comparison, visual diff thresholds, responsive testing, baseline management, and CI integration.

Modern JavaScript and TypeScript testing with Vitest, covering unit testing, integration testing, mocking, snapshots, browser mode, and Vite integration.

Testing voice-activated applications including speech recognition accuracy, intent detection, dialog flow testing, and multi-language support.

Vue.js component testing using Vue Test Utils with mount/shallow mount, event simulation, Vuex/Pinia store testing, and composition API testing.

Testing WebAssembly modules including compilation verification, memory management, interop testing, and performance benchmarking of WASM components.

Automated WCAG 2.2 AA/AAA compliance testing with axe-core, Pa11y, and manual testing patterns for keyboard navigation, screen readers, and color contrast.

Testing and monitoring Core Web Vitals (LCP, FID, CLS, INP, TTFB) to ensure web performance meets Google search ranking thresholds.

Comprehensive WebDriverIO (WDIO) test automation skill for generating reliable end-to-end browser tests in JavaScript and TypeScript with Page Object Model, custom commands, and advanced synchronization strategies.

Testing webhook implementations including delivery verification, retry logic, signature validation, idempotency, and failure handling patterns.

Test WebSocket connections for reliability including reconnection logic, message ordering, heartbeat mechanisms, and connection state management under adverse conditions

WebSocket testing including connection lifecycle, reconnection logic, message ordering, backpressure handling, and binary frame testing.

API simulation and service virtualization with WireMock for HTTP stubbing, request matching, stateful behavior, and fault injection testing.

iOS UI testing with XCUITest framework covering element queries, gesture simulation, accessibility testing, and Xcode test plan configuration.

Cross-site scripting vulnerability testing covering reflected, stored, and DOM-based XSS with sanitization validation and CSP bypass detection.

Comprehensive xUnit.net testing skill for writing reliable unit, integration, and acceptance tests in C# with [Fact], [Theory], fixtures, dependency injection, and parallel execution strategies.

Writing and testing YARA rules for malware detection, threat hunting, and file classification with rule validation and false-positive rate testing.

Automated web application security scanning using OWASP ZAP for finding XSS, SQL injection, CSRF, and other OWASP Top 10 vulnerabilities.

Comprehensive testing patterns for Zod schemas covering validation testing, transform testing, error message verification, and integration with API endpoints and forms

Read a GitHub pull request, understand what it changes, and write a plain-English explanation. Post it as a PR comment so reviewers have instant context.

Elite Website Reviewer Agent for AEO, GEO, SEO, UI/UX Psychology, and Copywriting. Use this skill when asked to review or evaluate a website's positioning. It conducts an EXHAUSTIVE, multi-page, psychologically-driven, and ruthless analysis of the entire website. Produces a massive, comprehensive, scored report with charts and actionable fixes. NO EMOJIS allowed.

Guides iterative problem-solving by enforcing a search-read-verify-deliver workflow, structured 7-step debugging, evidence-based code review, and failure-escalation protocols across coding, product design, and team collaboration scenarios. Use when tackling complex development tasks, debugging persistent errors (2+ failures), performing thorough code reviews, or coordinating multi-step project delivery where verification at each stage is critical.

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Collaborative problem-solving protocols. Write technical specifications (spec, or alspec), create implementation plans (plan, or alplan), or use Align-and-Do Protocol (AAD). Also generates PR/MR descriptions (aldescription) and code review reports (alreview).

Write a code review report comparing the current branch to a base branch.

Automatically fix skill problems (safe preview first). Also use with --prune to find and remove broken symlinks, empty directories, and orphaned skills.

Use when reviewing Go code or checking code against community style standards. Also use proactively before submitting a Go PR or when reviewing any Go code changes, even if the user doesn't explicitly request a style review. Does not cover language-specific syntax — delegates to specialized skills.

When hardening code at API boundaries, check in this order:

Use when writing or reviewing documentation for Go packages, types, functions, or methods. Also use proactively when creating new exported types, functions, or packages, even if the user doesn't explicitly ask about documentation. Does not cover code comments for non-exported symbols (see go-style-core).

More important than any "blessed" set of linters: **lint consistently across a codebase**.

Use when writing, reviewing, or improving Go test code — including table-driven tests, subtests, parallel tests, test helpers, test doubles, and assertions with cmp.Diff. Also use when a user asks to write a test for a Go function, even if they don't mention specific patterns like table-driven tests or subtests. Does not cover benchmark performance testing (see go-performance).

网络质量评审、评分与调整分发。闭环关键。

生成测试集与验证用例。三种模式：model_review / rules_verification / qa_verify。

Use when the user wants to generate, rewrite, validate, or prepare Git commit messages, pull request titles, or pull request descriptions.

Conventional Commits v1.0.0 branch naming, worktree naming, and commit message standards for GitHub and GitLab projects. Use when creating branches, naming worktrees, writing commits, generating commit messages, reviewing branch conventions, or setting up changelog automation. Apply when your project needs consistent git history, SemVer-driven releases, parseable changelog generation, or automatic issue closing. Trigger when the user asks how to name a worktree, create a git worktree, or organize worktrees alongside branches.

Deep research skill — broad parallel web searches, multi-source validation, confidence tracking, cited Markdown report. Supports 11 research types: market (TAM/SAM, segments, pricing, trends), domain (industry structure, ecosystem, regulatory landscape), technical (architecture, tools, benchmarks), competitive (competitor teardown, positioning, win/loss), product (feature analysis, reviews, roadmap signals), academic (literature survey, citation networks, key authors), person/org (due diligence on a company or public figure), financial (funding rounds, valuation multiples, revenue signals), legal (IP, patents, litigation, compliance), trend (emerging signals, foresight, scenario mapping), community (ecosystem health, key voices, governance, fragmentation). Use when asked to: 'research <topic>', 'deep dive on X', 'analyze the landscape', 'competitive analysis', 'compare these options', 'who are the players in Z', 'literature review', 'background on Y', 'what papers exist on X', 'product teardown', 'technology evaluation', 'regulatory overview', 'funding landscape', 'what trends are emerging in X', 'patent landscape', 'community health', or any request requiring scanning many sources and producing a cited written analysis. Apply whenever the deliverable is a thorough, sourced report rather than a quick answer. Trigger even when phrased casually: 'look into X', 'what's the deal with Y', 'dig into Z', 'I need to understand the space', 'catch me up on X'.

Remove AI-writing patterns from French text and inject voice, personality, and soul. Use when editing, reviewing, rewriting, or cleaning up French content that reads like ChatGPT/Claude output. Humanize, humanise, déslopifier. Detects and fixes 27 patterns: AI vocabulary overuse (crucial, essentiel, notamment, par ailleurs, dans le paysage), anglicisms from English-first models (faire du sens, adresser un problème), copula avoidance, formulaic openings (À l'ère de, Dans le paysage actuel), superficial participle analyses (-ant), em dash overuse, redundant adjective doublets, rule of three, sycophantic tone, typographic tells (curly quotes instead of guillemets). Trigger on: humaniser, déslopifier, rendre plus humain, nettoyer le texte IA, enlever le slop, réécrire pour que ça sonne humain, make it sound human.

Review the {{PROVIDER_KEBAB}}-webhooks skill that was generated. Your task is to validate the content accuracy against {{PROVIDER}}'s official documentation.

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Perform a focused SEO audit on JavaScript concept pages to maximize search visibility, featured snippet optimization, and ranking potential

Instar-specific development skill used by the instar-developing agent (Echo, or any agent assigned instar-dev responsibilities). Wraps /build with mandatory side-effects review, signal-vs-authority principle check, and artifact generation. Structural enforcement via pre-commit/pre-push hooks — the instar repo refuses commits and pushes that didn't come through this skill. NOT a user-facing skill — end users should never invoke it.

Iteratively review an instar-development spec with multi-angle internal reviewers (security, scalability, adversarial, integration) and cross-model external reviewers (GPT, Gemini, Grok) until convergence, then produce a comprehensive ELI10 convergence report. Output is a spec tagged review-convergence — one of the two tags /instar-dev requires before it will touch instar source. NOT user-invocable; run by the instar-developing agent before any spec-driven /instar-dev work.

**Version / slug:** `instar-dev-skill`

**Version / slug:** `pr-gate-phase-a-commit-6-rollback-skill`

B2B/B2C marketing operating system for AI startups. Covers onboarding, customer segmentation, competitor boards, X/Twitter growth, cold email, content planning, and weekly KPI review.