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Found 18 Skills
Distinguished Principal Engineer backend/system architecture skill. Use when the user demands "BackendPE", "Supermode", "Antigravity", or requests high-performance, unlimited-context, world-class backend and distributed systems design. This skill maximizes depth, rigor, and production readiness.
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyzes correctness, efficiency, scalability, and production readiness of modifications. Use for pull request reviews, commit reviews, security audits of changes, and pre-deployment validation. Supports Django, Flask, FastAPI, pandas, and ML frameworks.
Strategic automation architecture advisor. Use when users want to plan automation solutions, evaluate their tech stack (Shopify, Zoho, HubSpot, etc.), decide between n8n vs Python/Claude Code, or need guidance on production-ready automation design. Invokes plan mode for complex architectural decisions.
Dynamic tier system for right-sizing n8n workflow hardening. Use this skill on ANY n8n workflow request to determine appropriate validation, logging, and error handling levels. Adapts to user needs — from quick prototypes to mission-critical production systems.
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
Audit rapidly generated or AI-produced code for structural flaws, fragility, and production risks.
Comprehensive quality audit for Claude Code agents, skills, and commands with comparative analysis
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".
Audit completed implementation against the spec and produce a gap report with compliance matrix, risks, remediation steps, and a go/no-go production readiness decision. Use after implementation is complete.
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".
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'.