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Found 188 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.
AWS development with CDK best practices, serverless patterns, cost optimization, and event-driven architecture. Use when deploying to AWS, writing Lambda functions, configuring API Gateway, working with DynamoDB, S3, or any AWS service.
Route low-risk coding tasks to cheaper LLMs while keeping Codex for high-risk decisions, using MCP tools for cost-aware delegation
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.
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
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.
Cloud CLI patterns for GCP and AWS. Use when running bq queries, gcloud commands, aws commands, or making decisions about cloud services. Covers BigQuery cost optimization and operational best practices.
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
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.