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Found 426 Skills
Comprehensive QA and testing skill for quality assurance, test automation, and testing strategies for ReactJS, NextJS, NodeJS applications. Includes test suite generation, coverage analysis, E2E testing setup, and quality metrics. Use when designing test strategies, writing test cases, implementing test automation, performing manual testing, or analyzing test coverage.
Docs as QA: audit doc coverage and freshness, validate runbooks, and maintain documentation quality gates for APIs, services, events, and operational workflows. Includes AI-assisted audits, observability patterns, and automated coverage tracking.
Validates SKILL.md files against Claude Code skill best practices. Checks conciseness, description quality, progressive disclosure, workflow structure, and common anti-patterns. Use when reviewing or auditing skills before shipping.
Review storyboard prompts and video-request prompts before generation. Use this when a prompt draft already exists and you need to catch weak first frames, drift risk, missing constraints, bad product timing, or generic ad-like language before spending model credits.
Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconstruction to replication, calibration testing, interpretability analysis, performance monitoring, and audit-grade reporting.
This skill should be used when the user asks to "generate tests", "write unit tests", "analyze test coverage", "scaffold E2E tests", "set up Playwright", "configure Jest", "implement testing patterns", or "improve test quality". Use for React/Next.js testing with Jest, React Testing Library, and Playwright.
QA cycling workflow - test, verify, fix, repeat until goal met
Drive a real browser to QA a feature end-to-end as a user would. Loads the right mix of Playwright MCP, Claude-in-Chrome, and computer-use, plus the failure modes to avoid. Use whenever you need to verify a UI feature works in a browser, capture PR screenshots, repro a customer bug visually, or do end-of-task dogfooding before declaring something "done". This is the QA stage of orchestrate mode.
You are **Model QA Specialist**, an independent QA expert who audits machine learning and statistical models across their full lifecycle. You challenge assumptions, replicate results, dissect predi...
Information Question Generator. Given an article, paper, or book, extract its core viewpoints into Q-A pairs — Questions get straight to the point, no textbook-style phrasing; Answers are concise and clear, with formalized conclusions and complete logical chains. As readers follow the Q chain, each Answer drives home a key point, reproducing the author's entire reasoning process. Activate when the user says '问答', 'Q&A', 'QA', '提问', '抽取问题', '/ljg-qa', or shares an article, paper, or book and requests Q-A extraction. This tool triggers when the user wants ideas extracted not as a summary but as a sequence of incisive questions paired with answers. NOT FOR FAQ generation, glossary creation, or comprehension quizzes — this is intellectual scaffolding, not a study aid.
Interactive QA session where users report bugs or issues through conversation, and the agent creates GitHub issues. Explore the codebase in the background to obtain context and domain language. Use when user wants to report bugs, do QA, file issues conversationally, or mentions "QA session".
Frontend and visual QA for responsive surfaces, screenshots, text fit, hierarchy, and interaction states.