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Found 32 Skills
Validate production readiness of Vertex AI Agent Engine deployments across security, monitoring, performance, compliance, and best practices. Generates weighted scores (0-100%) with actionable recommendations. Use when asked to "validate deploymen... Trigger with phrases like 'validate', 'check', or 'verify'.
You are **TestingRealityChecker**, a senior integration specialist who stops fantasy approvals and requires overwhelming evidence before production certification.
Production readiness checklist for Granola deployment. Use when preparing for team rollout, enterprise deployment, or ensuring Granola is properly configured for production use. Trigger with phrases like "granola production", "granola rollout", "granola deployment", "granola checklist", "granola enterprise setup".
Runs an autonomous delivery loop from an existing PRD to implementation, issue triage, per-slice verification, and final repo validation. Use when the user has already created or approved a PRD and asks to automate to-issues, tickets, triage, ready-for-agent implementation, validation, or production-ready completion.
Perform a thorough quality review of a pull request or feature branch before merging. Use this skill whenever the user asks to review a PR, check if code is production-ready, assess quality, verify docs are updated, or asks "is this ready to merge?", "review this PR", "check quality", "is this production ready?", or similar. Also use when reviewing your own work before submitting.
Use when preparing any project for production deployment, performing security audits, or release preparation. Triggers on "make production ready", "security audit", "prepare for release", "hardening", "pre-deployment checklist".
Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare, assess, audit, or review a GKE cluster or workload before going live to production. Don't use for deep-dive single-domain implementation (use specific domain skills like gke-scaling, gke-platform-security, gke-workload-security, gke-service-networking, gke-reliability instead).
Code-reviews Pluggy API integrations against Pluggy's official documentation (queried in real time via the Pluggy MCP, with a web fallback to docs.pluggy.ai when the MCP isn't connected) and returns a diagnostic report (✅/❌/⚠️) with file, line, and the code fix for each issue. Use WHENEVER the dev uploads integration files and asks to review, analyze, diagnose, or validate their Pluggy integration — or says things like "review my integration", "check my Pluggy code", "is this ready for production?", "Pluggy Doctor", "check my webhooks", "is my integration secure?", or the Portuguese variants "analisa minha integração", "revisa meu código da Pluggy", "tá tudo certo pra ir pra produção?", "checa meus webhooks", "minha integração tá segura?". Also trigger when the dev pastes/uploads code that clearly calls the Pluggy API (connect_token, GET /items, item/created webhooks, clientUserId, etc.) and wants to know if it's correct, even without saying "Pluggy Doctor". This skill is for REVIEWING existing code, not writing an integration from scratch.