Analiza tareas, programaciones y ejecuciones de Trigger.dev para identificar oportunidades de optimización de costos. Úsalo cuando te pidan reducir gastos, optimizar costos, auditar el uso, ajustar máquinas o revisar la eficiencia de tareas. Requiere las herramientas MCP de Trigger.dev para el análisis de ejecuciones.
Este skill analiza las tareas, programaciones y ejecuciones de Trigger.dev para identificar oportunidades de ahorro de costos. Es útil cuando un desarrollador o agente necesita reducir gastos, optimizar costos, auditar el uso, ajustar el tamaño de las máquinas o revisar la eficiencia de las tareas. El skill se basa en las herramientas MCP de Trigger.dev para obtener datos detallados de las ejecuciones, lo que permite un análisis preciso del rendimiento y consumo de recursos. Al integrarse directamente con Trigger.dev, proporciona recomendaciones accionables para optimizar el costo-efectividad de los flujos de trabajo, sin necesidad de modificaciones manuales complejas. Soporta plataformas como Claude Code, Cursor y Codex, y su funcionamiento se describe en el archivo SKILL.md.
npx skills add https://github.com/triggerdotdev/skills/tree/main/skills/trigger-cost-savingsInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Analiza tareas, programaciones y ejecuciones de Trigger.dev para identificar oportunidades de optimización de costos. Úsalo cuando te pidan reducir gastos, optimizar costos, auditar el uso, ajustar máquinas o revisar la eficiencia de tareas. Requiere las herramientas MCP de Trigger.dev para el análisis de ejecuciones.
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.