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.
npx skills add https://github.com/triggerdotdev/skills/tree/main/skills/trigger-agentsAI 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.
This repo contains 5 individual skills — each has its own dedicated page.
Configure Trigger.dev projects with trigger.config.ts. Use when setting up build extensions for Prisma, Playwright, FFmpeg, Python, or customizing deployment settings.
Analyze Trigger.dev tasks, schedules, and runs for cost optimization opportunities. Use when asked to reduce spend, optimize costs, audit usage, right-size machines, or review task efficiency. Requires Trigger.dev MCP tools for run analysis.
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.
Provider-neutral process primitives, skills, and MCP servers for AI-assisted work environments.
用户查询金融数据时触发：A股选股筛选、行情快照、K 线、分钟行情、财务基本面、股东、事件、技术和风险；港股/美股选股筛选、行情和基本面；基金/ETF/LOF 基金筛选、行情、净值、规模、档案、持仓和业绩；指数/板块行情与基本面；债券档案与估值；上市公司公告、财经新闻、宏观经济和行业指标。不用于欧股、日股、汇率、期货盘口、加密货币或非金融数据。
Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.
GenoClaw Meta-Harness v2.0.0 — Self-improving AI agent scaffold inspired by the Meta-Harness paper. Execution traces, skeptical evaluator, skill outcome tracking, harness versioning with auto-rollback, failure taxonomy, per-channel memory, nightly self-evaluation. 468 tests, 30+ API endpoints.
A minimal line-based programming language for AI agent workflows — deterministic execution, evidence gating, structured receipts
Comprehensive guide for Firestore Standard Edition, including provisioning, security rules, and SDK usage. Use this skill when the user needs help setting up Firestore, writing security rules, or using the Firestore SDK in their application.