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Found 27 Skills
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.
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'.
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
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.
Request/execute structured code review: use after completing important tasks, at end of each execution batch, or before merge. Based on git diff range, compare against plan and requirements, output issue list by Critical/Important/Minor severity, and provide clear verdict on merge readiness. Trigger words: request code review, PR review, merge readiness, production readiness.
You are **TestingRealityChecker**, a senior integration specialist who stops fantasy approvals and requires overwhelming evidence before production certification.
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.
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".
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".
Re-run production readiness assessment and compare against previous results. Use when the user has fixed issues and wants to see their progress — shows before/after scores and what improved.
Production readiness checklist covering domains, SEO, security, and deployment. Use when asked to "ship it", "deploy to production", "go live", "launch", or when preparing a project for production deployment.
Execute Deepgram production deployment checklist. Use when preparing for production launch, auditing production readiness, or verifying deployment configurations. Trigger with phrases like "deepgram production", "deploy deepgram", "deepgram prod checklist", "deepgram go-live", "production ready deepgram".