Analise tarefas, agendamentos e execuções do Trigger.dev em busca de oportunidades de otimização de custos. Use quando solicitado a reduzir gastos, otimizar custos, auditar uso, redimensionar máquinas ou revisar eficiência de tarefas. Requer ferramentas MCP do Trigger.dev para análise de execuções.
Este skill permite que um agente de IA analise configurações de tarefas, agendamentos e execuções da plataforma Trigger.dev para identificar oportunidades de redução de custos. Ele é útil para responder a comandos como "reduzir gastos", "otimizar custos", "auditar uso", "redimensionar máquinas" ou "revisar eficiência de tarefas". O skill depende das ferramentas MCP (Model Context Protocol) do Trigger.dev para acessar dados de execução e realizar a análise. Ao ser acionado, ele examina métricas como duração de execução, agendamentos inativos, máquinas superdimensionadas e padrões de uso para recomendar ações como desligar agendamentos não utilizados, reduzir o tamanho de máquinas ou ajustar intervalos de polling.
npx skills add https://github.com/triggerdotdev/skills/tree/main/skills/trigger-cost-savingsInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Analise tarefas, agendamentos e execuções do Trigger.dev em busca de oportunidades de otimização de custos. Use quando solicitado a reduzir gastos, otimizar custos, auditar uso, redimensionar máquinas ou revisar eficiência de tarefas. Requer ferramentas MCP do Trigger.dev para análise de execuções.
This repo contains 5 individual skills — each has its own dedicated page.
AI agent patterns with Trigger.dev - orchestration, parallelization, routing, evaluator-optimizer, and human-in-the-loop. Use when building LLM-powered tasks that need parallel workers, approval gates, tool calling, or multi-step agent workflows.
Configure Trigger.dev projects with trigger.config.ts. Use when setting up build extensions for Prisma, Playwright, FFmpeg, Python, or customizing deployment settings.
Subscribe to Trigger.dev task runs in real-time from frontend and backend. Use when building progress indicators, live dashboards, streaming AI/LLM responses, or React components that display task status.
Set up Trigger.dev in your project. Use when adding Trigger.dev for the first time, creating trigger.config.ts, or initializing the trigger directory.
Build AI agents, workflows and durable background tasks with Trigger.dev. Use when creating tasks, triggering jobs, handling retries, scheduling cron jobs, or implementing queues and concurrency control.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.