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SkillsMP has collected 426 skills from PramodDutta/qaskills. Open a skill to review its source and details.
Showing 40 of 426 collected skills.
Use when publishing SEO blog articles to qaskills.sh, e.g. "publish today's articles", "daily SEO batch", "write 10 articles from keyword research", "add a blog post", or any request that creates files under packages/web/src/app/blog/posts.
Generate test data from the schemas you already have. Read OpenAPI, JSON Schema, SQL DDL, or TypeScript models and produce deterministic factories, boundary and negative cases, relational datasets with valid foreign keys, cleanup scripts, and PII-safe…
Analyze a git diff, map affected risks, select the tests that matter, detect coverage gaps on changed lines, run configurable quality gates, and produce a go/no-go release report with cited evidence. Recommends only; never merges or deploys.
Test LLM, RAG, MCP, and agentic systems end to end. Build golden datasets, run deterministic checks and LLM judges, score retrieval, probe prompt injection, verify tool use, and gate CI on thresholds. Orchestrates DeepEval, Ragas, promptfoo, and Langfuse.
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.
Teach agents to guide manual accessibility audits for keyboard, screen reader, zoom, reflow, focus, and WCAG 2.2 criteria that scanners miss.
Teach agents to use AI browser agents for exploratory and smoke QA with step budgets, evidence-based assertions, guardrails, and Playwright conversion.
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.
Teach agents to run Nuclei DAST and API security scans in CI, write templates, and gate builds on actionable findings.
Teach agents to automate accessibility testing in CI with pa11y and pa11y-ci, including thresholds, sitemap crawling, GitHub Actions gating, and WCAG rule tuning.
Teach AI coding agents to use the Playwright CLI and debug loop efficiently with last-failed runs, locator probing, trace evidence, and safe healing.
Teach agents to define and enforce CI quality gates for diff coverage, flaky tests, performance budgets, security thresholds, and regression health.
Teach agents to build go or no-go release readiness scorecards with gated criteria for coverage, flakes, defects, performance, security, and sign-off.
Teach agents a disciplined strategy for resilient and self-healing locators with role-first selectors, repair evidence, code review, and clear no-heal rules.
Teach agents to run session-based exploratory testing with charters, time boxes, tours, note-taking, debriefs, and coverage tracking.
Teach agents to manage Jira test cases and executions with Xray and Zephyr, including issue modeling, JQL, and CI result publishing through REST APIs.
Use when adding or editing QA skills in seed-skills/ or getting them onto the live qaskills.sh catalog, e.g. "add N new skills", "create a seed skill for X", "seed the database", "the skill page is empty", "skill 404s on the site".
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.
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.
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.
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.
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.
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.
Evaluate RAG pipelines with Ragas, measuring faithfulness, answer relevancy, context precision and recall, building golden datasets, and wiring threshold gates into CI for retrieval regressions.
Define and build QA metrics that drive decisions, escape rate, flake rate, coverage of risk, MTTR for test failures, release readiness scorecards, anti-gaming rules, and dashboard layouts with SQL and query examples.
Organize testing in TestRail, suite and section architecture, writing maintainable cases, test runs and plans, milestone reporting, and TestRail API automation to push automated results into one quality view.
Generate high-signal unit tests for existing code, behavior-first case selection, boundary and error paths, mocking discipline, mutation-tested quality, and framework-idiomatic output for Vitest, Jest, and pytest.
Use when deploying qaskills.sh to production, verifying whether a deploy landed, or when a push to main did not show up on the live site, e.g. "deploy", "ship it", "push this live", "is prod updated?", "the site still shows the old version".
Comprehensive RESTful API testing patterns covering HTTP methods, status codes, request/response validation, authentication, error handling, and contract testing.
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.
End-to-end testing skill using Cypress for web applications, covering custom commands, network intercepts, fixtures, cy.session, and component testing patterns.
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.
Unit testing skill using Jest for TypeScript and JavaScript, covering mocking, spies, snapshots, coverage, async testing, and custom matchers.
Performance and load testing skill using k6, covering load test scripts, thresholds, scenarios, checks, custom metrics, and results analysis.
API testing skill using Playwright's built-in APIRequestContext for RESTful service validation, authentication flows, and API contract verification.
Comprehensive end-to-end testing skill using Playwright for web applications, covering page objects, selectors, assertions, waits, fixtures, and test organization.