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Found 944 Skills
Assess APM service health using SLOs, alerts, ML, throughput, latency, error rate, and dependencies. Use when checking service status, performance, or when the user asks about service health.
Browse and recall OpenCode local memory stored on the user's machine: local sessions, plans, conversations, prompt history, and project context. Use immediately when the user asks to check history, previous sessions, past chats, what did we do before, last time, check plans, session history, recall, memory, remember, prior work, previous context, or have we done this before. Auto-trigger proactively when resuming work, continuing a project, referencing prior decisions, debugging repeated issues, revisiting earlier plans, or any follow-up where earlier OpenCode context may help. This means OpenCode local history/files specifically, not ChatGPT/Claude cloud history, generic web search, or unrelated product memory systems. Do NOT use for fresh tasks with no relevant history, or when current files/git already answer the question.
Verifica a Stack do Metabase. Além disso analisa parâmetros, rotas Traefik, volumes, recursos e conformidade do stack Metabase de Acordo com as Recomendações da Promovaweb.
Generates optimized read queries using Dapper. Includes multi-mapping for joins, pagination, dynamic filtering, CTEs, and best practices for high-performance data access.
Use these skills when you need to monitor replication health, manage sync states between nodes, and ensure the high availability and data distribution of your AlloyDB cluster.
Validate pending migrations for foreign key consistency, rollback safety, and best practices
Comprehensive Alembic database migration management for customer support systems
Generates Request for Comments documents for technical proposals including problem statement, solution design, alternatives, risks, and rollout plans. Use for "RFC", "technical proposals", "design docs", or "architecture proposals".
Neon serverless Postgres with autoscaling, instant database branching, and zero-downtime deployments. Use when building serverless applications, implementing database branching for dev/staging, or deploying with Vercel/Netlify.
Search and filter Observability logs using ES|QL. Use when investigating log spikes, errors, or anomalies; getting volume and trends; or drilling into services or containers during incidents.
Create and manage Agent Builder agents and custom tools in Kibana. Use when asked to create, update, delete, test, or inspect agents or tools in Agent Builder.
Monitor LLMs and agentic apps: performance, token/cost, response quality, and workflow orchestration. Use when the user asks about LLM monitoring, GenAI observability, or AI cost/quality.