Loading...
Loading...
Found 112 Skills
Brutally honest pre-traction revenue audit — the minimum code, infra, features, and process needed to land the FIRST paying user NOW, plus aggressive deletion of anything that doesn't move money. SCOPE — use this specifically when the project has ZERO signups and/or ZERO paying users; it's the reality check for a build that isn't converting yet, not an optimizer for a product that already has traction. Use when the user invokes /make-money, or (in that zero-traction state) says "audit for revenue", "am I wasting time", "why am I not making money", "is this making money", "what should I cut", or asks for a no-bullshit commercial reality check.
Diagnose and explain Cargo workflow behavior after the fact — trace why a single run produced the wrong output, sweep a batch or play for errors and group them by root cause, and profile where a play's credits go and how to cut the cost. Use when a run failed or "succeeded but looks wrong", a batch has errors, records are missing downstream values, or a play costs more than expected.
Have a fast, conversational analysis with the AWS DevOps Agent. Use for cost optimization, architecture review, topology mapping, knowledge / runbook discovery, security audits, dependency questions, and quick diagnostics — anything that needs a 5-30 second answer rather than a 5-8 minute deep investigation. Trigger words include cost, optimize, review, architecture, topology, what runbooks, show me, compare, audit, what if.
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation.
Expert guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. Use when designing AI, SAP, Oracle, SaaS, HPC, or mission‑critical workloads on Azure, and other Azure Well Architected related development tasks.
Analyzes Axiom query patterns to find unused data, then builds dashboards and monitors for cost optimization. Use when asked to reduce Axiom costs, find unused columns or field values, identify data waste, or track ingest spend.
Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.
Cloud infrastructure design and deployment patterns for AWS, Azure, and GCP. Use when designing cloud architectures, implementing IaC with Terraform, optimizing costs, or setting up multi-region deployments.
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
Complete FBA preparation guide. Product labeling, packaging requirements, shipment planning, and compliance with Amazon's fulfillment center requirements. Avoid common rejection reasons.
BigQuery Expert Engineer Skill - Comprehensive guide for GoogleSQL queries, data management, performance optimization, and cost management Use when: - Running bq commands (query, load, extract) - Writing GoogleSQL queries (functions, JOINs, CTEs) - Designing partitioned/clustered tables - Using BigQuery ML or external data sources