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Found 173 Skills
Use when reviewing AWS architecture, designing cloud systems, addressing operational issues, security concerns, reliability problems, performance bottlenecks, cost overruns, or sustainability goals
Full-stack observability with Datadog APM, logs, metrics, synthetics, and RUM. Use when implementing monitoring, tracing, alerting, or cost optimization for production systems.
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
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.
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.
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。
Use Claude Code's autonomous agent loop with DeepSeek V4 Pro, OpenRouter, or any Anthropic-compatible backend at up to 17x lower cost.
Use when architecting OCI solutions, migrating from AWS/Azure, designing multi-AD deployments, or avoiding common OCI anti-patterns. Covers VCN sizing mistakes, Cloud Guard gotchas, free tier specifics, OCI terminology confusion, and multi-AD patterns.
Use when launching OCI compute instances, troubleshooting out-of-capacity or boot failures, optimizing compute costs, or handling instance lifecycle. Covers shape selection, capacity planning, service limits, and production incident resolution.
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
Cloud & AI FinOps advisory skill. Structured cost optimization using the FinOps Foundation framework. Covers AWS, Azure, GCP, OCI, AI inference, and data platforms (Databricks, Snowflake). Use for: cloud costs, cost optimization, cloud spend, AI costs, cloud bill, FinOps assessment, GreenOps, right-sizing, commitment strategy, tagging governance.
Comprehensive context management strategies for cost optimization and infinite-length conversations. Covers server-side clearing (tool results, thinking blocks), client-side SDK compaction (automatic summarization), and memory tool integration. Use when managing long conversations, optimizing token costs, preventing context overflow, or enabling continuous agentic workflows.