Deep QA — multi-agent testing, baseline tracking, incident analysis
npx claudepluginhub arthtech-ai/arthai-marketplace --plugin prismManually create a QA incident from a known issue. Usage: /qa-incident <description>
Review QA knowledge base stats, prune stale entries, show learning metrics. Usage: /qa-learn [prune]
Run QA checks. Usage: /qa (commit), /qa full (comprehensive), /qa staging (deployed), /qa prod (read-only).
QA baseline updater — manages test snapshots and golden files for API response validation
Adversarial QA agent that red-teams test plans. Reads the diff, knowledge base, and test plan to find gaps the test strategy missed.
Domain logic quality evaluator. Validates business logic integrity — state machines, enum consistency, constraint rules, and domain-specific correctness. Three-tier evaluation with explicit confidence levels.
E2E test specialist — Playwright browser tests for user workflows
Converts generated test scenarios that caught real bugs into permanent baseline test files. Writes provenance to qa-knowledge.
QA orchestrator — testing across backend, frontend, and E2E layers
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Battle-tested Claude Code plugin for engineering teams — 38 agents, 156 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use
Semantic search for Claude Code conversations. Remember past discussions, decisions, and patterns.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research