Claude Skills by PramodDutta

Prepare for SDET and automation interviews round by round, covering coding screens, framework design, API testing tasks, scenario questions, and STAR stories built from real testing work.

Build an SDET or automation engineer resume around framework ownership, tool-stack evidence, CI/CD integration, and GitHub proof that survives technical screening and recruiter keyword search.

Teach agents to use AI browser agents for exploratory and smoke QA with step budgets, evidence-based assertions, guardrails, and Playwright conversion.

BrowserBash is a vendor-independent, natural-language browser automation CLI. Drive a real browser from plain-English objectives or committable Markdown tests, run on local Chrome, CDP/Playwright MCP, Browserbase, LambdaTest, or BrowserStack, and stream NDJSON results with CI exit codes — using free local Ollama models or any cloud LLM.

Translate skills from one industry to another, identify transferable skills

Teach agents to build synthetic monitoring as code with Checkly, including Playwright browser checks, API checks, alerting, and CI deploy workflows.

Teach agents to use the Chrome DevTools MCP server for performance testing with traces, Core Web Vitals, throttling, and evidence-based analysis.

Teach agents to shard and parallelize Playwright, Jest, and pytest suites in CI to reduce wall-clock time while merging reports reliably.

The complete QA skill for Claude Code — turn Claude into an expert QA engineer that picks the right test type, writes reliable Playwright, Cypress, and pytest tests, eliminates flaky tests, enforces coverage, and wires up CI. Claude Code QA testing done right.

Measure and enforce test coverage with Istanbul/nyc, c8, Jest, and Vitest. Covers branch versus line coverage, per-directory thresholds, CI gates, and correctly excluding generated code from reports.

Write personalized cold outreach emails to hiring managers and founders - specific, human, not a pitch deck

Create personalized, compelling cover letters from resume and job description

Balance visual design with ATS compatibility for creative roles

Author effective Cursor rules in .cursor/rules/*.mdc - YAML frontmatter (description, globs, alwaysApply), the four rule types, scoped QA rules, subagents, and structure that actually steers the model.

Test LLM applications with DeepEval, pytest-style unit tests for LLM outputs using G-Eval, answer relevancy, faithfulness, hallucination and custom metrics, with CI quality gates and dataset-driven regression runs.

Gray-box end-to-end testing for React Native apps with Detox. Covers .detoxrc.js configuration, build and test commands, matchers, device.launchApp control, automatic synchronization, and macOS CI pipelines.

Build a DevOps or SRE resume around pipeline ownership, infrastructure as code, reliability metrics, and incident evidence, structured to pass both ATS parsing and platform-team screening.

Integration testing with real dependencies in throwaway Docker containers using the Testcontainers Node.js API - GenericContainer, exposed ports, wait strategies, module containers, Docker Compose environments, and reliable cleanup.

Make Claude Code write and maintain end-to-end tests like a senior SDET — Playwright and Cypress flows with stable locators, the Page Object Model, fixtures, reused auth state, network mocking, and flake-free CI. Claude Code E2E testing, done right.

Enforce test quality with ESLint - eslint-plugin-jest, eslint-plugin-playwright, and eslint-plugin-testing-library rules in flat config, blocking focused tests, missing assertions, and flaky waits via a CI lint gate.

Create C-suite and VP level resumes emphasizing strategic leadership

Diagnose flaky test failures from Playwright reports, traces, and rerun history. Classify each failure as product, test, environment, data, or unknown with cited evidence and a proposed fix. Never auto-modifies code without opt-in.

Generate STAR stories, practice questions, and talking points from resume

Apply classic test design techniques the ISTQB way, equivalence partitioning, boundary value analysis, decision tables, state transition testing, and pairwise combinations, to derive minimal high-coverage test sets from requirements.

Teaches the agent the right way to mock in Jest — jest.fn, mockImplementation, mockResolvedValue, jest.mock factories, spyOn with restore, and isolating modules like axios.

Run QA work in Jira like a professional, bug lifecycle and triage, JQL queries for testers, quality dashboards, sprint QA rituals, and REST API automation for bulk bug operations and reporting.

Analyze job postings, calculate match scores, identify gaps, and create application strategy

Test Kafka-based event-driven systems, producer and consumer integration tests with Testcontainers, schema compatibility gates, idempotency and ordering verification, dead-letter handling, and end-to-end event flow assertions.

Instrument LLM apps with Langfuse tracing, then use traces, scores, and datasets to test in production, run evaluations on real traffic, catch regressions, and close the loop from incident to golden dataset.

Optimize LinkedIn profile for searchability, recruiter visibility, and engagement

Black-box mobile UI testing with Maestro YAML flows - launchApp, tapOn, inputText, assertVisible, reusable runFlow subflows, environment parameters, JUnit reporting, and emulator-based CI pipelines.

Mock Service Worker v2 patterns - http and graphql request handlers, setupServer for Node test runs, setupWorker for the browser, per-test handler overrides, and strict unhandled-request policies.

Run mutation testing with StrykerJS for TypeScript/JavaScript and mutmut for Python to measure whether your test suite actually catches bugs, enforce mutation score thresholds, and keep runs fast with incremental mode in CI.

Teach agents to run Nuclei DAST and API security scans in CI, write templates, and gate builds on actionable findings.

Compare multiple job offers side-by-side with total compensation analysis

Grade LLM and agent traces with OpenAI Evals - build datasets, configure string/python/model graders, run eval suites, and gate agent behavior changes in CI.

Teach agents to automate accessibility testing in CI with pa11y and pa11y-ci, including thresholds, sitemap crawling, GitHub Actions gating, and WCAG rule tuning.

Catch UI regressions with Percy visual testing, snapshot strategy, Playwright and Cypress integration, responsive widths, dynamic-content stabilization, review workflow discipline, and CI gating without approval fatigue.

Teach AI coding agents to use the Playwright CLI and debug loop efficiently with last-failed runs, locator probing, trace evidence, and safe healing.

Teaches the agent to build resilient Playwright locators with .filter (hasText/has/hasNot), narrow lists, and reason correctly about visibility, waitFor states, and timeouts.

Teaches the agent to handle popups, new tabs, and multiple browser windows in Playwright using waitForEvent('page'), context pages, and reliable tab switching for OAuth and target=_blank links.

Teaches the agent when and how to use page.evaluate, evaluateHandle, and exposeFunction in Playwright — passing arguments safely, reading DOM/JS state, and why locators should be preferred for actions.

Teaches the agent to structure tests with test.step, attach evidence and annotations via test.info, use soft assertions, and produce readable, debuggable Playwright HTML reports.

Transform resume bullets into detailed portfolio case studies

Review pull requests for test coverage like a senior SDET, map the diff to required test classes, spot untested branches and missing regression tests, judge test quality not just presence, and write actionable review comments.

Evaluate and red-team LLM applications with promptfoo, declarative YAML evals, assertions, model comparisons, and automated adversarial scans for prompt injection, jailbreaks, PII leaks, and unsafe outputs in CI.

Automate Chrome with Puppeteer for scraping, screenshots, PDF generation, and E2E checks — correct launch options, reliable waiting with locators and waitForSelector, request interception, and headless CI execution.

Opinionated pytest patterns for AI agents - conftest fixture scoping, parametrize, markers, pyproject config, coverage, xdist parallelism, mocking, and AAA-structured test naming.

Turn Claude Code into an autonomous QA agent — an explore, generate, run, heal, report loop that maps the app, writes tests for real user journeys, executes them, self-heals broken locators, and reports coverage. Build a QA agent skill for Claude Code.

Optimize a QA or SDET LinkedIn profile for recruiter search with headline token strategy, skills ordering, featured proof, and content habits that convert profile views into interviews.