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.
npx skills add https://github.com/triggerdotdev/skills/tree/main/skills/trigger-cost-savingsAnalyze 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.
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.
Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data.
Agent Skills for Solopreneurs
紫苏叶方法 Perilla-Leaf Method · 通用「证据→推断」判断法 Claude skill — judge anything (good/bad, A vs B) by chaining evidence→inference, with a minimal HTML reasoning-path diagram
A capability-based operating layer for long-running autonomous software engineering agents. Rust daemon, signed capabilities, append-only audit, drift-aware memory, fail-closed sandbox dispatch, commit-scoped provenance.
Manage tasks and schedules using a Markdown-based AI agent framework that organizes workflows without databases or external services.
Agent skill repository for susiloandreas/ai-military-productivity-assistant-openclaw-skill.