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Found 113 Skills
Audit and optimize Convex application performance, covering hot path reads, write contention, subscription cost, and function limits. Use when a Convex feature is slow, reads too much data, writes too often, has OCC conflicts, or needs performance investigation.
Optimize and manage cloud costs across AWS, Azure, and GCP using reserved instances, spot pricing, and cost monitoring tools.
PRの変更内容をトリアージし、変更カテゴリ分類・表層チェック・必要リファレンス判定を行います。結果を`.pr-triage.json`に出力し、後続のコードレビューフェーズで活用します。CI環境でのコスト最適化に使用してください。
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
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.
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
Search for places, businesses, and locations using Google Maps APIs via x402. USE FOR: - Finding businesses by name or type - Searching nearby places - Getting detailed place information (address, hours, reviews) - Finding restaurants, stores, services in an area - Getting business ratings and reviews TRIGGERS: - "find", "search for", "locate", "nearby" - "restaurants near", "hotels in", "stores around" - "business details", "opening hours", "reviews for" - "places in", "what's near", "directions to" Use `npx agentcash fetch` for Google Maps endpoints. Choose partial ($0.02) vs full ($0.05-0.08) based on data needs.
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.
Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.