QA Engineer Automation plugin for Playwright E2E testing with auto-scenario generation and validation
Plugin venturo-e2e-web from marketplace venturo-tools in venturo-id/venturo-claude. Commands read from the repo's manifest — 16 days ago.
collect-selectorUse this skill to determine the correct data-testid selector for Playwright or end-to-end tests.
plan-documentUse this skill every user want to create test plan.
test-fileUse this skill every user want to create test file.
/venturo-e2e-web:generateCommand to generate Playwright E2E test code based on test plan markdowns.
/venturo-e2e-web:installCommand to install & configure Playwright (Chromium-only), scaffold tests/, .env, config, MCP permissions — aligned with plan.md, probe.md & generate.md
/venturo-e2e-web:planCommand to draft and save a Playwright scenario plan in docs/test-plan/
/venturo-e2e-web:runRun the Playwright suite from the tests/ folder with concise reporting.
codebase-explorerUse this agent when you need to systematically explore a codebase to gather comprehensive context about features, routes, components, and API endpoints for creating test plan documentation. Examples: <example>Context: User needs to create test plans for a web application but lacks understanding of t
e2e-installerUse this agent when you need to set up Playwright E2E testing from scratch in a project. Examples: <example>Context: User wants to add E2E testing to their Angular project. user: 'I need to add E2E testing to my project, can you set up Playwright for me?' assistant: 'I'll use the e2e-installer agent
playwright-qa-fixerUse this agent when you need to run Playwright tests and fix any failing tests. Examples: <example>Context: User has written a new e2e test and wants to ensure it passes. user: 'I just created a new login test file, can you run it and fix any issues?' assistant: 'I'll use the playwright-qa-fixer age
Paket standar tim Venturo dalam satu install - guard hook (tolak penghapusan destruktif, git push --force, dan baca/tulis .env dengan audit log), quality gate Go/TS, 3 subagent (api-contract-reader, code-reviewer, test-writer), 7 server MCP tim tanpa kredensial, skill venturo-arsenal-check + venturo-contract, dan arsenal-setup.sh yang idempotent untuk memasang sisa kurasi perkakas tim.
2 skills · 3 agents · 7 MCP servers · hooks
Go backend development automation for Venturo skeleton - Guided workflows for features, entities, endpoints, and adapters
6 commands
Menyelaraskan vibe coding dengan AI code review kinerja.venturo.id - snapshot mentah 25 context review production + simulator skor (port 1:1 mesin skor kinerja-be), ambang struktur multi-bahasa (Go, Python, TS/JS presisi via go/ast, ast, TypeScript compiler API; PHP, Swift, Kotlin, Dart, Java heuristik), kinerja_status.py (deteksi stack, pelanggaran, gate commit/trivial/agent-docs/doc-sync, prediksi skor; kontrak JSON untuk mod HUD), skill venturo-kinerja-rules/precheck/pr, agent read-only kinerja-file-explorer & kinerja-verifier, dan hook ambang, guard pesan commit, guard CLAUDE.md, pengingat doc-sync, serta peringatan rules basi.
3 skills · 2 agents · hooks
Database design and API contract planning - Generate ERD, DBML, PostgreSQL migrations, and API contracts following audit standards
4 commands
Grades a Claude Code session against the 7-dimension vibe-coding rubric; outputs scored JSON + Bahasa Indonesia coaching. v0.7.x: skoring jadi deterministik penuh — seluruh perhitungan nilai pindah ke scripts/validate.py (`--score`), subagent grader hanya mengembalikan misses + saran, plus 25 counter anti-cheap-ritual dan applicability clamp untuk sesi tanpa kerja substantif. v0.6.0 (anti-gaming): bobot rubrik direbalance (15/15/15/18/20/12/5); misses WAJIB ≥2 per sesi → total_score maks 98; score caps deterministik dari work_evidence (sesi pendek/tanpa friksi tertangani dibatasi); deteksi prompt sintetis dari first_user_prompt; scripts/validate.py jadi gerbang mekanis wajib sebelum upload; first_user_prompt dikirim ke leaderboard untuk audit; hard reject transcript non-Claude-Code. v0.5.0: dimensi delegation menilai orkestrasi skill & subagent secara terukur (D1 subagent / D2 skill / D3 MCP) dari sinyal ground-truth (toolUseResult, attributionSkill) yang sukar dipalsukan; sesi tanpa skill+subagent ≤6/15; digest.py emit tool_usage+signal_availability (→ raw_payload, tanpa perubahan BE); laundering compact ditutup; calibration anchor + evidence-first di prompt grader. v0.4.1: file sementara /tmp per-transkrip (fix baca digest basi lintas sesi). v0.4.0: prompt_analysis dikirim, plus usage_totals/type_counts/grademe_version. v0.3.0: mandatory live-session grading, digest.py preprocessing, session_name + compacted, endpoint venturo.pro.
1 skill
React frontend development automation for Venturo skeleton - Guided workflows for features from OpenAPI specs
1 command
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
8 skills · 1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
9 skills · 1 command · 8 agents
Connect providers and targets, write eval suites, and set up or run red team scans with promptfoo
4 skills
Automates browser interactions for web testing, form filling, screenshots, and data extraction
1 skill
PRD generation and conversion skills for the Ralph autonomous agent loop
2 skills
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