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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".
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".
Format CVs for academic positions with publications, grants, and teaching
Fill out job application form fields with context-aware, tailored answers drawn from the candidate's CV and the job description
Translate skills from one industry to another, identify transferable skills
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
Create C-suite and VP level resumes emphasizing strategic leadership
Generate STAR stories, practice questions, and talking points from resume
Analyze job postings, calculate match scores, identify gaps, and create application strategy
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
Compare multiple job offers side-by-side with total compensation analysis
Transform resume bullets into detailed portfolio case studies
Format professional references properly and prepare reference materials
Optimize resumes for Applicant Tracking Systems, check ATS compatibility, and analyze keyword match
Transform weak resume bullets into achievement-focused statements with metrics and impact
Ensure ATS-friendly formatting and create clean scannable layouts
Find opportunities to add metrics and estimate numbers when exact data unavailable
Create targeted resume sections optimized for different experience levels and roles
Customize resume for specific job postings while maintaining truthfulness
Track different resume versions, maintain master resume, manage tailored versions
Research market rates, build negotiation strategy, and create counter-offer scripts
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.
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.
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.
Turn test suites, frameworks, and bug hunts into a portfolio recruiters actually open, with case studies, linkable repos, live demo suites, and writeups structured like incident reports.
Build and optimize a manual/functional QA tester resume with test design vocabulary, defect metrics, ISTQB positioning, and ATS-safe structure that survives both parsers and hiring managers.
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.
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